#Google Developer Program price

[govindhtech]

Google Developer Program Price Reduced For Membership

Explore the updated Google Developer Program to maximise your potential. Google Developer Program membership fees fluctuate. Google is releasing AI-powered tools and expanded resources to help users use its products more efficiently, intelligently, and rapidly.

Today's fast-paced development environment requires the right toolbox. We're introducing updates that will let you focus on creating great AI apps after considering your feedback.

Google Developer Program Premium

Google Developer Program Premium with AI lets you reach your full potential.

Recent Google AI tools are one of the most powerful elements of the Google Developer Program premium membership ($299/year). Consider it your growth engine, with cutting-edge resources and dedicated support throughout development.

Introducing additional ways to experience Google's AI capability today:

Gemini Code Assist Standard Improves Coding Assistance: Use Gemini Code Assist and premium Gemini in Firebase services to improve code efficiency immediately. Write better code faster and more confidently.

Firebase Studio Workspaces: Extra space for growth! Project IDX is in Firebase Studio. You get 30 Firebase Studio workspaces with premium, making complex projects and app growth easier.

Try the Latest Models: Explore API-driven AI with a $50 GenAI developer credit for Google AI Studio and Google Cloud Vertex AI. Try cutting-edge Gemini, Imagen, and Veo models and add powerful AI to your application.

Getting Premium Premium members get a three-month free trial of Google One AI. Enjoy additional storage, NotebookLM Plus, Gemini Advanced, and more.

Premium benefits dashboard has been improved. Log in to see and activate all your benefits.

Team creativity powered by Google Developer Program Enterprise

For enterprises looking to strengthen their development teams, the Google Developer Program now provides an Enterprise option, a safe and affordable way to explore Google Cloud and AI. Some features of this company-managed subscription:

Flexible Google Cloud usage: Google Cloud Developer sandbox projects let you utilise all of Google Cloud's products with customised cost management and guardrail controls in a risk-controlled environment. Each developer receives $150 monthly Google Cloud credit.

AI-Powered Team Development: Gemini Code Assist Enterprise is an AI-powered application development tool that integrates with several Google Cloud services and private source code repositories.

Team-Wide Learning Resources: Google Skills Boost for organisations offers unrestricted access to over 700 on-demand, practical labs and skills badges for development teams.

The standard has improved: More resources, flexibility, and product samples

We also updated the Google Developer Program experience for everyone. Google Developer Program participants may now register exclusively for Gemini Code Assist agents' product previews.

These agents turn natural language queries into multi-step, multi-file solutions that you can deploy to migrate SDK versions, write tests, build new features, prepare technical papers, perform code reviews, and more.

Google Developer Program cost

Firebase Studio workspaces for normal memberships have tripled from five to ten free, giving you greater resources for your projects.

Get started now

The Google Developer Program provides something for everyone, whether you're a corporate developer looking to upskill and boost team efficiency, an independent developer seeking cutting-edge technologies, or an early-career developer looking to grow.

Enrol in the program to reach your potential, join a thriving community, and gain these fantastic rewards.

[mostlysignssomeportents]

The meritocracy to eugenics pipeline

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in PDX on Jun 20 at BARNES AND NOBLE with BUNNIE HUANG. After that, it's LONDON (Jul 1) and MANCHESTER (Jul 2).

It's kinda weird how, the more oligarchic our society gets, the more racist it gets. Why is the rise of billionaires attended by a revival of discredited eugenic ideas, dressed up in modern euphemisms like "race realism" and "human diversity"?

I think the answer lies in JK Galbraith's observation that "The modern conservative is engaged in one of man's oldest exercises in moral philosophy; that is, the search for a superior moral justification for selfishness."

The theory of markets goes like this: a market is a giant computer that is always crunching all kinds of "signals" about what people want and how much they want it, and which companies and individuals are most suited to different roles within the system. The laissez-faire proposition is that if we just resist the temptation to futz with the computer (to "distort the market"), it will select the best person for each position: workers, consumers, and, of course, "capital allocators" who decide where the money goes and thus what gets made.

The vast, distributed market computer is said to be superior to any kind of "central planning" because it can integrate new facts quickly and adjust production to suit varying needs. Let rents rise too high and the computer will trigger the subroutine that brings "self-interested" ("greedy") people into the market to build more housing and get a share of those sky-high rents, "coming back into equilibrium." But allow a bureaucracy to gum up the computer with a bunch of rules about how that housing should be built and the "lure new homebuilders" program will crash. Likewise, if the government steps in to cap the price of rents, the "price signal" will be silenced and that "new homebuilders" program won't even be triggered.

There's some logic to this. There are plenty of good things that market actors do that are motivated by self-interest rather than altruism. When Google founders Larry Page and Sergey Brin developed their Pagerank algorithm and revolutionized internet search, they weren't just solving a cool computer science problem – they were hoping to get rich.

But here's the thing: if you let Larry and Sergey tap the capital markets – if they can put on a convincing show for the "capital allocators" – then the market will happily supply them with the billions they need to buy and neutralize their competitors, to create barriers to entry for superior search engines, and become the "central planners" that market theory so deplores. If your business can't get any market oxygen, if no audience ever discovers your creative endeavors, does it matter if the central planner who decided you don't deserve a chance is elected or nominated by "the market"?

Here's how self-proclaimed market enthusiasts answer that question: all Larry and Sergey are doing here is another form of "capital allocation." They're allocating attention, deciding what can and can't be seen, in just the same way that a investor decides what will and won't be funded. If an investor doesn't fund promising projects, then some other investor will come along, fund them, get rich, and poach the funds that were once given to less-successful rivals. In the same way, if Google allocates attention badly, then someone will start a better search engine that's better at allocating attention, and we will switch to that new search engine, and Google will fail.

Again, this sounds reasonable, but a little scrutiny reveals it to be circular reasoning. Google has dominated search for a quarter of a century now. It has a 90% market share. According to the theory of self-correcting markets, this means that Google is very good at allocating our attention. What's more, if it feels like Google actually sucks at this – like Google's search-results are garbage – that doesn't mean Google it bad at search. It doesn't mean that Google is sacrificing quality to improve its bottom line (say, by scaling back on anti-spam spending, or by increasing the load of ads on a search results page).

It just means that doing better than Google is impossible. You can tell it's impossible, because it hasn't happened.

QED.

Google wasn't the first search engine, and it would be weird if it were the last. The internet and the world have changed a lot and the special skills, organizational structures and leadership that Google assembled to address the internet of the 2000s and the 2010s is unlikely to be the absolute perfect mix for the 2020s. And history teaches us that the kinds of people who can assemble thee skills, structures and leaders to succeed in one era are unlikely to be able to change over to the ideal mix for the next era.

Interpreting the persistent fact of Google's 90% market-share despite its plummeting quality as evidence of Google's excellence requires an incredible act of mental gymnastics. Rather than accepting the proposition that Google both dominates and sucks because it is excellent, we should at least consider the possibility that Google dominates while sucking because it cheats. And hey, wouldn't you know it, three federal courts have found Google to be a monopolist in three different ways in just a year.

Now, the market trufans will tell you that these judges who called Google a cheater are just futzers who can't keep their fingers off the beautiful, flawless market computer. By dragging Google into court, forcing its executives to answer impertinent questions, and publishing their emails, the court system is "distorting the market." Google is the best, because it is the biggest, and once it stops being the best, it will be toppled.

This makes perfect sense to people who buy the underlying logic of market-as-computer. For the rest of us, it strains credulity.

Now, think for a minute of the people who got rich off of Google. You have the founders – like Sergey Brin, who arrived in America as a penniless refugee and is now one of the richest people in the history of the human species. He got his fortune by building something that billions of us used trillions of times (maybe even quadrillions of times) – the greatest search engine the world had ever seen.

Brin isn't the only person who got rich off Google, of course. There are plenty of Googlers who performed different kinds of labor – coding, sure, but also accountancy, HR, graphic design, even catering in the company's famous cafeterias – who became "post-economic" (a euphemism for "so rich they don't ever need to think about money ever again") thanks to their role in Google's success.

There's a pretty good argument to be made that these people "earned" their money, in the sense that they did a job and that job generated some money and they took it home. We can argue about whether the share of the profits that went to different people was fair, or whether the people whose spending generated that profit got a good deal, or whether the product itself was good or ethical. But what is inarguable is that this was money that people got for doing something.

Then there's Google's investors. They made a lot of money, especially the early investors. Again, we can argue about whether investors should be rewarded for speculation, but there's no question that the investors in Google took a risk and got something back. They could have lost it all. In some meaningful sense, they made a good choice and were rewarded for it.

But now let's think about the next generation. The odds that these billionaires, centimillionaires and decimillionaires will spawn the next generation of 1%ers, 0.1%ers, and 0.0001%ers are very high. Right now, in America, the biggest predictor of being rich is having rich parents. Every billionaire on the Forbes under-30 list inherited their wealth:

https://ca.finance.yahoo.com/news/forbes-billionaires-under-30-inherited-203930435.html

The wealthy have created a system of dynastic wealth that puts the aristocratic method of primogenitor in the shade. Every scion of every one-percenter can have their own fortune and start their own dynasty, without lifting a finger. Their sole job is to sign the paperwork put before them by "wealth managers":

https://pluralistic.net/2021/06/19/dynastic-wealth/#caste

Yes, it's true that some of the very richest people on Earth got their money by investing, rather than inheriting it. Bill Gates's investment income growth exceeds even the growth of the world's richest woman, L'Oreal heiress Liliane Bettencourt, who never did anything of note apart from emerging from an extremely lucky orifice and then simply accruing:

https://memex.craphound.com/2014/06/24/thomas-pikettys-capital-in-the-21st-century/

But Bill Gates's wealth accumulation from investing exceeds the wealth he accumulated by founding and running the most successful company in history (at the time). Doing work never pays as much as allocating capital. And Gates's children? They can assume a Bettencourtian posture on a divan, mouths yawning wide for the passage of peeled grapes, and their fortunes will grow still larger. Same goes for their children, and their children's children.

Capitalism's self-mythologizing insists that the invisible hand owes no allegiance to yesterday's champions. The mere fact that the market rewarded you for allocating capital wisely during your tenure does not entitle your offspring to continue to allocate wealth in the years and centuries to come – not unless they, too, are capital allocators of such supremacy that they are superior to everyone born hereafter and will make the decisions that make the whole world better off.

Because that's the justification for inequality: that the market relentlessly seeks out the people with the skill and foresight to do things and invest in things that improve the world for all of us. If we interrupt that market process with regulations, taxes, or other "distorting" factors, then the market's quest for the right person for the right job will be thwarted and all of us will end up poorer. If we want the benefits of the invisible hand, we must not jostle the invisible elbow!

That's the justification for abolishing welfare, public education, public health, affirmative action, DEI, and any other programs that redistribute wealth to the least among us. If we get in the way of the market's selection process, we'll elevate incompetents to roles of power and importance and they will bungle those roles in ways that hurt us all. As Boris Johnson put it: "the harder you shake the pack the easier it will be for [big] cornflakes to get to the top":

https://www.theguardian.com/politics/2013/nov/28/boris-johnson-iq-intelligence-gordon-gekko

Which leaves the servants and defenders of the invisible hand with a rather awkward question: how is it that today, capital allocation is a hereditary role? We used to have the idea that fitness to allocate capital – that is, to govern the economy and the lives of all of the rest of us – was a situational matter. The rule was "shirtsleeves to shirtsleeves in three generations": "The first generation makes it, the second generation spends it, and the third generation blows it."

That's the lesson of the rags to riches story*: that out there, amongst the teeming grubby billions, lurks untold genius, waiting to be anointed by the market and turned loose to make us all better off.

In America, these stories are sometimes called "Horatio Alger" stories, after the writer who penned endless millionaire-pleasing fables about urchins who were adopted by wealthy older men who saw their promise and raised them to be captains of industry. However, in real life, Horatio Alger was a pedophile who adopted young boys and raped them:

https://newenglandhistoricalsociety.com/horatio-alger-hundred-year-old-secret/

Perhaps your life was saved by a surgeon who came from humble origins but made it through med school courtesy of Pell Grants. Perhaps you thrilled to a novel or a film made by an artist from a working class family who got their break through an NEA grant. Maybe the software you rely on every day, or the game that fills your evenings, was created by someone who learned their coding skills at a public library or publicly funded after-school program.

The presence among us of people who achieved social mobility and made our lives better is evidence that people are being born every moment with something to contribute that is markedly different, and higher in social status, than the role their parents played. Even if you stipulate that the person who cleans your toilet has been correctly sorted into a toilet-cleaning job by the invisible hand, it's clear that the invisible hand would prefer that at least some of those toilet-cleaners' kids should do something else for a living.

And yet, wealth remains stubbornly hereditary. Our capital allocators – who, during the post-war, post-New Deal era were often drawn from working families – are now increasingly, relentlessly born to that role.

For the wealthy, this is the origin of the meritocracy to eugenics pipeline. If power and privilege are inherited – and they are, ever moreso every day – then either we live in an extremely unfair society in which the privileged and the powerful have rigged the game…or the invisible hand has created a subspecies of thoroughbred humans who were literally born to rule.

This is the thesis of the ultra-rich, the moral justification for rigging the system so that their failsons and faildaughters will give rise to faildestinies of failgrandkids and failgreat-grandkids, whose emergence from history's luckiest orifices guarantees them a lifelong tenure ordering other people around. It's the justification for some people being born to own the places where the rest of us live, and the rest of us paying them half our salaries just so we don't end up sleeping on the sidewalk.

"Hereditary meritocracy" is just a polite way of saying "eugenics." It starts from the premise of the infallible invisible hand and then attributes all inequality in society to the hand's perfect judgment, its genetic insight in picking the best people for the best jobs. If people of one race are consistently on top of the pile, that's the market telling you something about their genomes. If men consistently fare better in the economy than women, the invisible hand is trying to say something about the Y chromosome for anyone with ears to hear.

Capitalism's winners have always needed "a superior moral justification for selfishness," a discreet varnish to shine up the old divine right of kings. Think of the millionaire who created a "Nobel Prize sperm-bank" (and then fraudulently fathered hundreds of children because he couldn't find any Nobelists willing to make a deposit):

https://memex.craphound.com/2006/09/07/nobel-prize-sperm-bank-human-tragicomedy-about-eugenics/

Or the billionaire founder of Telegram who has fathered over 100 children in a bid to pass on his "superior genes":

https://www.cnn.com/2024/08/26/tech/pavel-durov-telegram-profile-intl

Think of Trump and his endless boasting about his "good blood" and praise for the "bloodlines" of Henry Ford and other vicious antisemites:

https://www.usatoday.com/story/news/politics/2020/05/22/trump-criticized-praising-bloodlines-henry-ford-anti-semite/5242361002/

Or Elon Musk, building a compound where he hopes to LARP as Immortan Joe, with a harem of women who have borne his legion of children, who will carry on his genetic legacy:

https://www.nytimes.com/2024/10/29/business/elon-musk-children-compound.html

Inequality is a hell of a drug. There's plenty of evidence that becoming a billionaire rots your brain, and being born into a dynastic fortune is a thoroughly miserable experience:

https://pluralistic.net/2021/04/13/public-interest-pharma/#affluenza

The stories that rich people tell themselves about why this is the only way things can be ("There is no alternative" -M. Thatcher) always end up being stories about superior blood. Eugenics and inequality are inseparable companions.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2025/05/20/big-cornflakes-energy/#caliper-pilled

[formerlyashkatom]

I've been trying out Plottr and I really like it, the featureset jives really well with how I outline and what information I want around in that process and how I want to manipulate it.

You'd think that would be enough for me to recommend it, but for some reason it's followed suit with the enshittification of the internet and the primary way to access it is a subscription service. It's a fuckin' piece of software that you download to your computer and has files stored locally. It is feature complete and a full release so there is no real excuse for a subscription-oriented model except the company realising that a drip feed from your wallet is more profitable than selling you a piece of software that does not need any upgrades. The website attempts to justify this by saying 'lifetime updates' are included but it is currently fully functioning as is so I question the value proposition of paying in perpetuity to use a program on my computer to access and interact with files stored on my computer.

(There is an online version as well. I understand subscription models in this case as this is an area where continued development and maintenance are required, as well as server costs for your files etc.)

But, you say! There is a lifetime license! Problem solved!

It is two hundred fucking united states dollars.

I am in a good financial position these days. I can spend money on stupid shit I want. But I cannot get past the audacity of charging $200 for what should be the default fucking option for owning software.

There's nothing that quite does what Plottr does, at least that I've found. But for some comparison:

Scrivener is $59.99 once-off and is probably the best writing-oriented program out there

Aeon Timeline is $65 once-off including a year of free updates

Campfire Blaze honestly has a payment structure I am sideeyeing but at least you can get a lifetime license tailored to what you need out of the program and characters + timeline is still cheaper than Plottr

Wavemaker is donationware

Metos is a subscription model, but has Web-only considerations mentioned above, specific plans for features in development, and is $24 annually rather than $150

The entire Microsoft Office suite is $149.99. Between Word, Excel, and OneNote you could definitely figure something out from a writing perspective and also have all the functionality of a full suite of office software FOR LESS MONEY THAN PLOTTR.

There are of course a wide array of free softwares (Google docs/sheets, Libre Office, etc) but I specifically wanted to call out paid options here to demonstrate how ridiculous their pricing structure is

I dunno man. People are allowed to charge whatever they want for the things that they make, but this is just so blatantly out of step with the market that I can only assume the lifetime license price is specifically aimed at deterring lifetime purchases and extracting the maximum amount of money possible from their target market through subscriptions instead. I feel a particular kind of way about that target market being writers, a group notoriously not known for their financial stability.

Fuck subscription services with no ongoing value proposition taking over how we access software and fuck every company that makes the revenue-driven decision to engage in this tactic. Even if your motivations are honourable (we have people to pay! you want us to be able to pay our hard-working employees, right?) you are pursuing those goals through nothing less than the exploitation of your customers for maximum financial gain.

[mariacallous]

On a 5K screen in Kirkland, Washington, four terminals blur with activity as artificial intelligence generates thousands of lines of code. Steve Yegge, a veteran software engineer who previously worked at Google and AWS, sits back to watch.

“This one is running some tests, that one is coming up with a plan. I am now coding on four different projects at once, although really I’m just burning tokens,” Yegge says, referring to the cost of generating chunks of text with a large language model (LLM).

Learning to code has long been seen as the ticket to a lucrative, secure career in tech. Now, the release of advanced coding models from firms like OpenAI, Anthropic, and Google threatens to upend that notion entirely. X and Bluesky are brimming with talk of companies downsizing their developer teams—or even eliminating them altogether.

When ChatGPT debuted in late 2022, AI models were capable of autocompleting small portions of code—a helpful, if modest step forward that served to speed up software development. As models advanced and gained “agentic” skills that allow them to use software programs, manipulate files, and access online services, engineers and non-engineers alike started using the tools to build entire apps and websites. Andrej Karpathy, a prominent AI researcher, coined the term “vibe coding” in February, to describe the process of developing software by prompting an AI model with text.

The rapid progress has led to speculation—and even panic—among developers, who fear that most development work could soon be automated away, in what would amount to a job apocalypse for engineers.

“We are not far from a world—I think we’ll be there in three to six months—where AI is writing 90 percent of the code,” Dario Amodei, CEO of Anthropic, said at a Council on Foreign Relations event in March. “And then in 12 months, we may be in a world where AI is writing essentially all of the code,” he added.

But many experts warn that even the best models have a way to go before they can reliably automate a lot of coding work. While future advancements might unleash AI that can code just as well as a human, until then relying too much on AI could result in a glut of buggy and hackable code, as well as a shortage of developers with the knowledge and skills needed to write good software.

David Autor, an economist at MIT who studies how AI affects employment, says it’s possible that software development work will be automated—similar to how transcription and translation jobs are quickly being replaced by AI. He notes, however, that advanced software engineering is much more complex and will be harder to automate than routine coding.

Autor adds that the picture may be complicated by the “elasticity” of demand for software engineering—the extent to which the market might accommodate additional engineering jobs.

“If demand for software were like demand for colonoscopies, no improvement in speed or reduction in costs would create a mad rush for the proctologist's office,” Autor says. “But if demand for software is like demand for taxi services, then we may see an Uber effect on coding: more people writing more code at lower prices, and lower wages.”

Yegge’s experience shows that perspectives are evolving. A prolific blogger as well as coder, Yegge was previously doubtful that AI would help produce much code. Today, he has been vibe-pilled, writing a book called Vibe Coding with another experienced developer, Gene Kim, that lays out the potential and the pitfalls of the approach. Yegge became convinced that AI would revolutionize software development last December, and he has led a push to develop AI coding tools at his company, Sourcegraph.

“This is how all programming will be conducted by the end of this year,” Yegge predicts. “And if you're not doing it, you're just walking in a race.”

The Vibe-Coding Divide

Today, coding message boards are full of examples of mobile apps, commercial websites, and even multiplayer games all apparently vibe-coded into being. Experienced coders, like Yegge, can give AI tools instructions and then watch AI bring complex ideas to life.

Several AI-coding startups, including Cursor and Windsurf have ridden a wave of interest in the approach. (OpenAI is widely rumored to be in talks to acquire Windsurf).

At the same time, the obvious limitations of generative AI, including the way models confabulate and become confused, has led many seasoned programmers to see AI-assisted coding—and especially gung-ho, no-hands vibe coding—as a potentially dangerous new fad.

Martin Casado, a computer scientist and general partner at Andreessen Horowitz who sits on the board of Cursor, says the idea that AI will replace human coders is overstated. “AI is great at doing dazzling things, but not good at doing specific things,” he said.

Still, Casado has been stunned by the pace of recent progress. “I had no idea it would get this good this quick,” he says. “This is the most dramatic shift in the art of computer science since assembly was supplanted by higher-level languages.”

Ken Thompson, vice president of engineering at Anaconda, a company that provides open source code for software development, says AI adoption tends to follow a generational divide, with younger developers diving in and older ones showing more caution. For all the hype, he says many developers still do not trust AI tools because their output is unpredictable, and will vary from one day to the next, even when given the same prompt. “The nondeterministic nature of AI is too risky, too dangerous,” he explains.

Both Casado and Thompson see the vibe-coding shift as less about replacement than abstraction, mimicking the way that new languages like Python build on top of lower-level languages like C, making it easier and faster to write code. New languages have typically broadened the appeal of programming and increased the number of practitioners. AI could similarly increase the number of people capable of producing working code.

Bad Vibes

Paradoxically, the vibe-coding boom suggests that a solid grasp of coding remains as important as ever. Those dabbling in the field often report running into problems, including introducing unforeseen security issues, creating features that only simulate real functionality, accidentally running up high bills using AI tools, and ending up with broken code and no idea how to fix it.

“AI [tools] will do everything for you—including fuck up,” Yegge says. “You need to watch them carefully, like toddlers.”

The fact that AI can produce results that range from remarkably impressive to shockingly problematic may explain why developers seem so divided about the technology. WIRED surveyed programmers in March to ask how they felt about AI coding, and found that the proportion who were enthusiastic about AI tools (36 percent) was mirrored by the portion who felt skeptical (38 percent).

“Undoubtedly AI will change the way code is produced,” says Daniel Jackson, a computer scientist at MIT who is currently exploring how to integrate AI into large-scale software development. “But it wouldn't surprise me if we were in for disappointment—that the hype will pass.”

Jackson cautions that AI models are fundamentally different from the compilers that turn code written in a high-level language into a lower-level language that is more efficient for machines to use, because they don’t always follow instructions. Sometimes an AI model may take an instruction and execute better than the developer—other times it might do the task much worse.

Jackson adds that vibe coding falls down when anyone is building serious software. “There are almost no applications in which ‘mostly works’ is good enough,” he says. “As soon as you care about a piece of software, you care that it works right.”

Many software projects are complex, and changes to one section of code can cause problems elsewhere in the system. Experienced programmers are good at understanding the bigger picture, Jackson says, but “large language models can't reason their way around those kinds of dependencies.”

Jackson believes that software development might evolve with more modular codebases and fewer dependencies to accommodate AI blind spots. He expects that AI may replace some developers but will also force many more to rethink their approach and focus more on project design.

Too much reliance on AI may be “a bit of an impending disaster,” Jackson adds, because “not only will we have masses of broken code, full of security vulnerabilities, but we'll have a new generation of programmers incapable of dealing with those vulnerabilities.”

Learn to Code

Even firms that have already integrated coding tools into their software development process say the technology remains far too unreliable for wider use.

Christine Yen, CEO at Honeycomb, a company that provides technology for monitoring the performance of large software systems, says that projects that are simple or formulaic, like building component libraries, are more amenable to using AI. Even so, she says the developers at her company who use AI in their work have only increased their productivity by about 50 percent.

Yen adds that for anything requiring good judgement, where performance is important, or where the resulting code touches sensitive systems or data, “AI just frankly isn't good enough yet to be additive.”

“The hard part about building software systems isn't just writing a lot of code,” she says. “Engineers are still going to be necessary, at least today, for owning that curation, judgment, guidance and direction.”

Others suggest that a shift in the workforce is coming. “We are not seeing less demand for developers,” says Liad Elidan, CEO of Milestone, a company that helps firms measure the impact of generative AI projects. “We are seeing less demand for average or low-performing developers.”

“If I'm building a product, I could have needed 50 engineers and now maybe I only need 20 or 30,” says Naveen Rao, VP of AI at Databricks, a company that helps large businesses build their own AI systems. “That is absolutely real.”

Rao says, however, that learning to code should remain a valuable skill for some time. “It’s like saying ‘Don't teach your kid to learn math,’” he says. Understanding how to get the most out of computers is likely to remain extremely valuable, he adds.

Yegge and Kim, the veteran coders, believe that most developers can adapt to the coming wave. In their book on vibe coding, the pair recommend new strategies for software development including modular code bases, constant testing, and plenty of experimentation. Yegge says that using AI to write software is evolving into its own—slightly risky—art form. “It’s about how to do this without destroying your hard disk and draining your bank account,” he says.

[mightyflamethrower]

Over 25,000 acres are ablaze in Los Angeles in the Pacific Palisades fire, a veritable living hell.

Some 12,000-plus structures were incinerated. More than 250,000 souls have been evacuated and are in need of shelter.

No one has really taken charge yet. And now even the woke culprits for the catastrophe are blame-gaming each other to determine who was the more incompetent, which in this case translates to the most woke.

No one knows how many have died; all know the number will escalate in the next few days.

The eventual price tag of the ruin will exceed $200-300 billion and outstrip the billions of dollars given to Ukraine.

And there are still some fires that are completely uncontained.

The Los Angeles apocalypse was a multisystem, green-woke collapse—and a disastrous reminder that when Soviet-style, anti-meritocratic ideology permeates all aspects of modern life in California, disaster is inevitable.

First, note that the culprit of the catastrophe is not climate change; it is not Donald Trump. Those are excuses for arrogant incompetency and disdain for the public. And it is not racism or homophobia to fault those who paraded and virtue signaled their tribal identities so extraneous to their actual responsibilities for public safety.

Note that all California statewide officeholders are left-wing. The California left holds supermajorities in both houses of the state legislature. Only 17 percent of California’s huge congressional delegation of 52 seats is Republican. California’s judiciary is the most left-wing in the country. There is not a single Republican on the 15-member Los Angeles City Council.

Add it all up, and the woke socialist state has been eagerly deindustrializing, decivilizing, and retribalizing its way into what is now a veritable peacetime Dresden on the Pacific.

Again, there is no one else to blame, because California is one of those rare states in which Republicans have de facto zero political power. All the state media, the legacy newspapers, the Silicon Valley daily online news sites, the Bay Area-based Apple, Google, and Facebook monopolies, and the local news outlets are parrots of the woke-green mindset.

To the degree that anything still works in California, it predates 2000. The core of the ossified Central Valley Water Project and the California Water Project remain—though they are in need of massive maintenance, like almost all the infrastructure the current generation of politicians inherited and largely ignored.

Now crowded and obsolete highways that were once the nation’s best still function—but barely. And there are a few remnants of sanity in what is left of the pre-woke and once-great universities of Berkeley, Caltech, Stanford, UCLA, and USC, founded by a now despised but far wiser and more competent long-dead generation of visionaries.

The Real ‘Basket of Deplorables’

Los Angeles brags about its new $50 billion budget and trumpets how it expanded “Care First” programs. Indeed, the mayor’s budget claims it created a new “451 positions”—highlighting its investments in “growing the department of youth development.”

It boasts it is adding positions to the “Justice, Care, and Opportunities Department,” “reducing our jail population,” and expanding “voting solutions for all people.” There is not much about fire, policing, or water—apparently now the low priorities that prior sexist, racist, and homophobic generations once worried about.

The role of DEI? Mayor Karen Bass was warned of the current danger of dry hillsides of chaparral buffeted by record-high, 100-mph Santa Ana winds. Her response?

She went junketing a continent away to the inauguration festivities of the president of Ghana—a strange way to prepare for a possible inferno to come. Does Ghana have firefighting expertise to share with Bass? In damage-control mode, Bass flew back only to be confronted at the airport by a now rare honest—and thus foreign—reporter.

He asked her why she cut over $17.6 million from the LA fire service budget—itself just 65% of the city’s homelessness expenditures. (She had planned to cut millions of dollars more). And why, he asked, was she in Africa at all in her city’s hour of need?

Bass stood mute—shamed into silence.

I think Los Angelenos needed no answer since it was obvious to them: she went to Ghana because she could and wanted to—since identity chauvinism is what ensured she was elected, reelected, and immune from criticism. Look at her appointments and budget, and it is clear public safety, fires, and water are most certainly not her priorities.

Bass was confident that if LA went up in smoke as she pursued her African agendas, the woke megaphones would silence critics as “racist” or “homophobic” or “sexist” in the way Soviet commissars used to send to Siberia any “ideological enemies of the state” who complained that the farms, industries, and trains of Russia no longer worked. And on spec, we now hear it is now racist to criticize a black woman incompetent mayor.

How about the Bass-appointed DEI “deputy mayor for safety,” Brian Williams?

Surely, he stepped up in the mayor’s absence, given his purview of the city’s “safety?” Nope.

You see, he is currently under suspension for suspicion of phoning in a bomb threat to Los Angeles City Hall.

Well, how about the DEI- and the much-acclaimed “first Latina” director of Los Angeles’s vast waterworks? Bass recruited such talent by nearly doubling the job’s normal salary to $750,000 per year.

What did she accomplish on her over $2,000-a-day salary? Did Janisse Quiñones, “the new Chief Executive Officer and Chief Engineer of the Los Angeles Department of Water and Power (LADWP) and the “first Latina woman to lead the organization,” leap into action?

Well, the water very quickly ran out in Pacific Palisades, and the hydrants went dry—as many had been for months prior.

Quiñones claimed that “three million gallons” in tanks above the suburb were mysteriously not up to the task of quenching the LA Dresden. You think?

She apparently gauges disaster preparation by the number of gallons of water available in tanks, not the number of gallons needed to save thousands of homes and lives. And she forgot to tell the public that in fact there is a 117-million-gallon water reservoir atop Pacific Palisades built for some purpose unknown to her.

Yet it was empty and “under repair” for months because of a mere damaged cover. Consider that: a dry autumn, the onset of the usual Santa Ana winds, a recent plague of hilltop wildfires, and Quiñones shuts down the linchpin of a prior generation’s plan to save the Palisades.

Note Quiñones was supposed to be the professional replacement for a retired director of water and power, who himself had been a replacement for another director who was found guilty of bribery and is currently in federal prison.

So goes the agency created by water wizard William Mulholland, who once created the 18-million-person Los Angeles megapolis by tapping every river and reservoir he could to feed the city’s unquenchable thirst for water.

How about fire chief Kristen Crowley? She now blames the mayor for dry hydrants. But in doing so, she pleaded that her job starts only after water flows out of them—as if their inert condition is not really her concern.

The self-celebrity, nonbinary fire chief Kristen Crowley has talked nonstop for the last two years about “diversity, equity, and inclusion” and the “LGBTQ community.” Less was said about the need to ensure the most meritocratic force possible, unmatched equipment, and long preplanned measures to prevent conflagrations—and screaming to high heaven that fire hydrants were either being stolen or bone dry.

Instead, like Bass, Crowley was mostly mute about the lack of preparation or the absence of sufficient warning to those about to be engulfed.

How about her deputy Kristine Lawson, who claimed people in need want to see fire officers arrive who look like they do? And if they don’t?

She is also on record with this: “Am I able to carry your husband out of a fire? He got himself in the wrong place if I have to carry him out.” Consider that helpful LAFD logic: So, if you are a man who suffers cardiac arrest and collapses on your kitchen floor, it is your fault that you died without medical attention, not Kristine’s, who apparently either would not or could not carry you out the door.

How about morally bankrupt politicians?

The speaker of the California Assembly, Robert Rivas, along with Governor Gavin Newsom, had just called a special session of the legislature to “Trump-proof” California. He wished to allot millions of dollars in state funds—in a year of massive deficits—to sue and impede the federal government.

Will Rivas’s Trump “resistance” session include canceling California’s simultaneous request for hundreds of billions of federal dollars for Los Angeles from the Trump administration? When asked whether it was wise to borrow millions to sue Trump while Los Angeles was burning, Rivas mumbled, stuttered, and revealed himself to be little more than a caricature of an incompetent.

Governor Gavin “Nero” Newsom made his usual performance art, virtual-signaling appearance. When asked why the hydrants were dry, he batted it off as a “local problem.” He now uses his own campaign website, linked to Democratic fundraising efforts, to warn the fire-struck public about supposed “misinformation.”

But what could Newsom do or say? His entire tenure is synonymous with too many catastrophic forest fires and too little water.

He did nothing after the catastrophic Aspen and Paradise fires to revive the timber industry to glean and clean the forests. He never allowed much new grazing on fuel-rich hills or sent crews in to cut back the chaparral.

He never reconsidered his policies of diverting precious snowmelt from the Sacramento River tributaries to flow into the sea to help the delta smelt rather than to ensure that farmers could irrigate their crops or that Los Angeles County reservoirs were fully banked.

Despite an approved 2014 $7.5 billion bond to build three huge dams and reservoirs, Newsom ensured that we built none: not the easily constructed Sites reservoir, not Temperance Flat, and not Los Banos Grandes, all tertiary foothill reservoirs that could have given California by now nearly five million additional acre-feet of storage.

Or is it worse than that?

Governor Dam-Buster still brags about how he greenlit blowing up four dams on the Klamath River—the largest dam removal in American history. The dams provided 80,000 homes with clean hydroelectric power, farmers with irrigation water, and the public with recreation and flood control.

Instead of following the voters’ bond to build reservoirs and dams, Newsom preferred to dynamite them. The ensuing muddy deluge wiped out the surrounding riparian ecosystem.

Joe Biden, now in the last days of his disastrous tenure, was in the LA area by chance to boast that he had put thousands of valuable federal square miles off limits.

Instead, he mumbled about his new great-grandson and relief that his kid’s house was saved, as the fire was engulfing 12,000 homes of others. Then Biden unceremoniously left, heartbroken that his last junket to Italy might have to be canceled as Los Angeles continued to burn. Later he too grumbled about “misinformation,” which is his synonym for telling the truth about the Los Angeles green woke bomb.

Kamala Harris? Was the vice president perhaps marshaling federal money and assets to stop the fires in her last weeks in office? After all, we remember from her 2024 campaign Harris’s frenzied efforts to help out during national disasters, as she scolded the capable Florida governor Ron DeSantis that he was not partnering enough with her to mitigate the effects of flooding.

She too proved invisible other than remarking the fire was “apocalyptic.” Instead, Harris was too busy planning a multimillion-dollar junket in her last week in office and of free royal travel.

Insurance? Is there some plan to rebuild these suburbs as they were, to ensure there are some $300 billion to pay out claims? Well, no again. The state is broke and is driving out insurance companies, not enticing them in. Its public “Fair” unfair insurance plan of last resort is underfunded and will go insolvent once a week or two of claims flows in.

California’s failure to effectively prevent and put out fires—along with hyper-regulation and failure to combat an epidemic of insurance fraud—has destroyed the state’s insurance industry. Given the prior inability of homeowners to buy credible fire insurance at any cost, there are thousands of now-homeless who had no insurance at all.

How about the region’s large homeless population that camps out on the streets and in the tinderbox chaparral above the suburbs? Did the city investigate arson or detain, arrest, charge, and jail those rounded up with incendiary devices or seen lighting fires? Of course not. They vetoed any notion long ago of an anti-camping ordinance.

Collective Suicide

Add it all up. The California nihilist green ethos and the left-wing politicians who run the madhouse ensured there is no effort to glean the forests and hills of combustible fuel.

There is not enough water for hydrants, not enough to deliver to Los Angeles, and when it arrives, there is too much incompetence to know how to use it.

There were no real warnings to residents that they had mere minutes to flee for their lives. Or was it worse still? As the fires wore on, continuous false alarms of new fires sparked unnecessary and dangerous mass evacuations citywide, destroying what, if any, trust was left in the fire department.

There is no reason to believe that such derelict politicians during the next fire will not again be AWOL on DEI junkets, boasting of their genders, their race, and their sexual orientation, but not of their duties to those whose lives they are sworn to protect.

The final tragic irony?

California’s DEI “humanism” and Green New Deal environmentalism ensured the cruelest imaginable treatment of thousands of people and unrivaled destruction of the natural ecosystem.

No one in the government dares to guess about what might have caused the fires, even as they cry “climate change”—as if to do so would expose their own incompetency or confirm rumors of sporadic homeless arsonists.

The California green utopians, by their very ideological zealotry, ensured their fires likely will have released into the atmosphere several weeks’ worth of the entire state’s collective auto emissions.

The fires will have wiped out thousands of protected flora and fauna, will have released toxic fumes into the air, and will have destroyed the lives of thousands of Los Angeles residents for years to come.

To paraphrase a 1960s California left-wing slogan—green-woke is not healthy for children and other living things.

[digitaldetoxworld]

Proven Marketing Tactics for Small Business Success

 Marketing is the lifeblood of any enterprise, especially small groups seeking to grow and compete in a crowded market. Without powerful advertising strategies, even the satisfactory products or services can pass overlooked. Unlike huge companies, small companies often operate with restrained budgets and resources. Therefore, they need clever, price-effective, and measurable strategies to advantage visibility and develop step by step.

Best marketing strategies for small business

This article explores numerous marketing techniques that are especially effective for small agencies, combining traditional strategies with modern digital tools.

1. Understand Your Target Audience

The basis of all advertising begins with know-how your clients. Define your target marketplace based totally on:

Demographics: Age, gender, profits stage, education

Geographics: Where they stay or paintings

Psychographics: Lifestyle, pursuits, and values

Behavioral trends: Buying conduct, logo loyalty, product utilization

Creating a purchaser persona enables you tailor your messaging, offers, and channels greater correctly. For instance, in case you're concentrated on university college students, Instagram and TikTok is probably better platforms than electronic mail advertising or print media.

2. Build a Strong Brand Identity

A recognizable and straightforward emblem builds lengthy-time period customer loyalty. Your brand includes:

Logo and design: Consistent shades, fonts, and imagery

Tone of voice: Formal, informal, funny, and so on.

Even a one-man or woman enterprise blessings from sturdy branding. For example, a nearby baker who uses eco-friendly packaging can emblem themselves as “inexperienced” and attract environmentally-conscious customers.

Three. Create a Professional Website

A internet site is your 24/7 digital storefront. It should be:

Mobile-friendly and fast

Easy to navigate

Linked for your social media pages

Equipped with touch paperwork or chat help

Use platforms like WordPress, Wix, or Shopify to create low priced, attractive websites without requiring technical expertise.

Four. Utilize Local search engine marketing

If you’re a nearby commercial enterprise, optimizing your on-line presence for local searches is critical. Start by using:

Claiming and verifying your Google Business Profile

Encouraging satisfied clients to depart reviews

Using local key phrases (e.G., “nice salon in Patna”)

Getting indexed in neighborhood directories and maps

5. Leverage Social Media Marketing

Social media structures offer unfastened and paid tools to interact your target audience and construct a community.

Facebook & Instagram: Great for promotions, memories, and visible content

LinkedIn: Best for B2B organizations

YouTube: Ideal for tutorials, product demos, and at the back of-the-scenes content

X (previously Twitter): Good for quick updates, client interplay

Use content material calendars to time table posts always and engage with followers through polls, contests, and comments.

6. Content Marketing: Educate and Add Value

Rather than simply promoting, content material advertising goals to teach and construct accept as true with. Examples encompass:

Blog posts: Informative articles in your internet site

E-books & Guides: Offer beneficial records in alternate for electronic mail addresses

Videos: Product demonstrations, testimonials, or storytelling

Infographics: Shareable visuals explaining complicated topics

Content advertising improves search engine marketing, establishes authority, and builds long-term trust.

7. Email Marketing

Email remains one of the most price-powerful channels for small corporations. Use it to:

Send newsletters

Announce promotions or new merchandise

Re-engage inactive customers

Request remarks

Tools like Mailchimp, Sendinblue, and ConvertKit allow smooth automation and list segmentation. Ensure your emails offer fee, no longer just commercials.

Eight. Referral and Loyalty Programs

Your glad clients can be your excellent marketers. Encourage them to refer friends or family with the aid of offering:

Discounts

Free products

Loyalty points

[script-a-world]

Submitted via Google Form:

Hi, I think I am running into an issue of being consistent in my world in what things are possible and what things are not possible. Like, one world can do spacesuits that look almost identical to thin raincoats except they enclose the entire body and well obviously connected to oxygen tanks and such, which are no bigger than a couple CD cases. What other technology should I expect them to have and not write them as being unable to have technology that should be possible once they have the above type of spacesuit. Like having very cumbersome firefighting gear with heat protection that is woefully underdeveloped for a civilisation that can already develop such spacesuits. Though perhaps, that could in fact be explained by money and amount required? A billion firefighters but less than 200 astronauts. That's just one example of course but I think my story is riddled with things like this that doesn't seem to make much sense I guess? How do I approach this?

Tex: If you already have a couple sets of tech that your world is using, it’s generally helpful to examine how that technology would be made and break it down into its component parts. For example, your space suit has a material that can conform to a body shape, so it might be some form of memory material or possibly integrated with a program to reshape itself. The oxygen tanks are incredibly compact - how do they cycle its input, and what does it do with the waste material?

How efficient are these technologies, how are the component materials produced? What other ways can each component piece of technology also be used for? What are the goals of each component, and what were the lead-up inventions that developed each system?

Licorice: Let’s not forget, it’s realistic for worlds to be inconsistent with their tech. In our own world, we are building quantum computers and can edit genes, yet small children still die of preventable or easily curable diseases. In our world, tech doesn’t ‘migrate’ from one sector to another unless there is money to be made from it. 

As well as the tech itself, one needs to consider who owns it, why it was developed, who’s paying for it, and what community is being served. If the owner of a fabulously wealthy tech-based multinational is paying for the space suits, whereas the firemen work in shanty towns and are paid by subscriptions from the community they serve - well, there's going to be a huge gap in the funds available to pay for the latest tech.

While it is true that we tend to develop tech to solve problems, there are plenty of problem we don’t bother to create tech for - and sometimes there’s a problem, and a small band of dedicated people develop the tech to deal with it, and then nobody has any interest in developing that tech to the point where it has real use in practical applications. 

When considering technology, we need to think not only about the tech itself, but the nature of the society that is creating it. What do they think is important? What are their priorities? 

For example, during 'the space race' some of the tech NASA developed was top secret due to the Cold War also being a thing happening at that time, but plenty of other tech was released for commercial purposes. If you're in Communist Russia, the average person may never benefit from space tech because the central planners of the economy don’t see what the USSR would gain from doing that, whereas if you’re in 1960s USA, capitalism is going to make some of that advanced tech available to consumers, for a price. The consumers here may be private individuals, or private companies, or public institutions. 

Addy: So, first off oxygen/pressure manipulation is different from insulation. If you look at the purpose of an object, as well as what kinds of things need to go into achieving that purpose, you have more room to handwave than if you try to apply a single consistent "tech level." 

Continuing on the firefighter example. Oxygen and other gasses can be compressed, but liquids generally can't. If you're mixing some kind of aerosol spray with a liquid carrier that then expands into a firefighting foam, that could mean you need bulky tanks. If you want insulation, that could mean thick suits to buy them more time, especially if you have them also dealing with super-hot wildfires or chemical spills. More layers, more material to absorb the heat before it reaches the skin… like how thick sweaters are better at blocking the cold (and keeping heat in) compared to a thinner t-shirt. 

Internal consistency can, to a point, be worked with if you look at differences in base requirements. Space doesn't really have much of a temperature, so you're mostly looking at life-support and radiation-blocking capabilities. For the sets of tech you have, what needs do they address? How can they be used for other things?

You also mention cost, which is a huge factor in real-life development. Making fancy materials is expensive, and it gets even more expensive if you need them • to a very tight tolerance • custom-made into certain shapes (such as for each astronaut) • or both of those. A custom-made bespoke suit may cost several thousand dollars, but a suit off the rack is going to be much more affordable.

Sure, you could make every firefighter suit custom-molded to each person's body, but what if they retire or gain/lose weight? Or if they transfer stations and need new badges? Also, are you really going to see a large benefit if you do that vs if you do a standard array of S/M/L/etc? Not really, tbh. The cost of customization isn't worth the added benefit of a custom fit. (Especially for a town, which has a smaller budget than a federal government)

I see it kinda like asking why, in our modern day, you don't see everyone wearing Rolexes or Armani, or why some people have gas-powered cars when electric cars exist. Or why some people don't have access to cars at all.

The big question isn't that the materials for the spacesuits can be made, it's how much making those costs. The world is not a homogenous thing.

So if you're looking at things that seem inconsistent, look at the factors driving the development of those things. What's the motive? And who's paying the cost of that development?

[chrismkundaliniservices]

𝗞𝘂𝗻𝗱𝗮𝗹𝗶𝗻𝗶 𝗦𝗮𝗰𝗿𝗲𝗱 𝗠𝘂𝘀𝗶𝗰

Music and spirituality are deeply interconnected. Spirituality often initiates the inspiration for the creation of music.

Music has a very strong transcendent property, throughout history, music has been used in various spiritual ceremonies and rituals in the form of singing, chants, drums, and prayers.

Listening to devotional music such as mantras and prayers music regularly can bring about more positivity, balance, and healing when the soul and karma are ready to receive it.

It can elevate mood, foster relaxation, reduce stress and anxiety, and increase self-esteem. In some cases can even speed up the recovery time from illness or injury.

When you start paying closer attention to how music conditions our daily lives, and feelings, you can use music as a tool to help your spiritual process in this chaotic, frantic, modern living.

The important components and power of this album are the meaning of the lyrics and the Kundalini frequencies of the voice. This is one of the reasons why this album can be so powerful in your life. Master Chrisms Kundalini put the songs together from start to finish.

It is capable to connect us to something greater than ourselves to our inner divinity and consequently, positively, affecting our spiritual development and quality of life.

𝗦𝗮𝗺𝗽𝗹𝗲:

https://m.soundcloud.com/user-696984179/kundalini-sacred-music-preview

𝑻𝒉𝒊𝒔 𝒔𝒆𝒓𝒗𝒊𝒄𝒆 𝒊𝒔 𝒇𝒐𝒓 𝒚𝒐𝒖 𝒊𝒇 𝒚𝒐𝒖:

•want more positive programming toward grace in your life

•want protection against negative entities and negativity

•want to receive shaktipat energy transmission via master Chrisms voice

•want to introduce more conditioning towards Kundalini into your life

•want to receive healing via the music put together by master Chrisms Kundalini

•want to receive many benefits of master Chrisms Kundalini sounds

•want to work towards a Kundalini activation if you don’t have it yet

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𝑾𝒉𝒂𝒕 𝒄𝒂𝒏 𝒚𝒐𝒖 𝒆𝒙𝒑𝒆𝒄𝒕:

•➤improved Kundalini lifestyle

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•➤ increased presence of grace in ones space

•➤a greater level of protection

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•➤ Shaktipat energy reception via master Chrisms voice

•➤ greater peace and balance in one equation especially if the music is played frequently particularly overnight

Price: $15

𝑯𝒐𝒘 𝒊𝒕 𝒈𝒐𝒆𝒔:

► You place your order by private messaging here or on the given email on the flyer

► You will make your payment via Pay Pal

► We will give you a Google Drive link where you can download the mp3 tracks plus the album cover with the song list and cd label

► You are free to upload the music on your smartphone device or burn a cd then print off the cover and label

► We suggest leaving the music on slightly playing in the background throughout the day and night if possible due to its many benefits within one’s Kundalini equation

𝗣𝗮𝘆 𝗽𝗮𝗹: 𝗰𝗵𝗿𝗶𝘀𝗺𝗶𝘁𝗰𝗵𝗲𝗹𝗹𝟯𝟲𝟵@𝘆𝗮𝗵𝗼𝗼.𝗰𝗼𝗺

𝑵𝒐𝒕𝒊𝒄𝒆:

➤ Please note that in some cases the ego might resist certain information reception and application and this has nothing to do with the quality of the given service and guidance by master Chrism.

➤ The payment is non refundable. Part payment is available.

➤ This service is not for personal profit gain but for the support of this Kundalini community

Please don’t hesitate to reach out to us for further information.

[mostlysignssomeportents]

What kind of bubble is AI?

My latest column for Locus Magazine is "What Kind of Bubble is AI?" All economic bubbles are hugely destructive, but some of them leave behind wreckage that can be salvaged for useful purposes, while others leave nothing behind but ashes:

https://locusmag.com/2023/12/commentary-cory-doctorow-what-kind-of-bubble-is-ai/

Think about some 21st century bubbles. The dotcom bubble was a terrible tragedy, one that drained the coffers of pension funds and other institutional investors and wiped out retail investors who were gulled by Superbowl Ads. But there was a lot left behind after the dotcoms were wiped out: cheap servers, office furniture and space, but far more importantly, a generation of young people who'd been trained as web makers, leaving nontechnical degree programs to learn HTML, perl and python. This created a whole cohort of technologists from non-technical backgrounds, a first in technological history. Many of these people became the vanguard of a more inclusive and humane tech development movement, and they were able to make interesting and useful services and products in an environment where raw materials – compute, bandwidth, space and talent – were available at firesale prices.

Contrast this with the crypto bubble. It, too, destroyed the fortunes of institutional and individual investors through fraud and Superbowl Ads. It, too, lured in nontechnical people to learn esoteric disciplines at investor expense. But apart from a smattering of Rust programmers, the main residue of crypto is bad digital art and worse Austrian economics.

Or think of Worldcom vs Enron. Both bubbles were built on pure fraud, but Enron's fraud left nothing behind but a string of suspicious deaths. By contrast, Worldcom's fraud was a Big Store con that required laying a ton of fiber that is still in the ground to this day, and is being bought and used at pennies on the dollar.

AI is definitely a bubble. As I write in the column, if you fly into SFO and rent a car and drive north to San Francisco or south to Silicon Valley, every single billboard is advertising an "AI" startup, many of which are not even using anything that can be remotely characterized as AI. That's amazing, considering what a meaningless buzzword AI already is.

So which kind of bubble is AI? When it pops, will something useful be left behind, or will it go away altogether? To be sure, there's a legion of technologists who are learning Tensorflow and Pytorch. These nominally open source tools are bound, respectively, to Google and Facebook's AI environments:

https://pluralistic.net/2023/08/18/openwashing/#you-keep-using-that-word-i-do-not-think-it-means-what-you-think-it-means

But if those environments go away, those programming skills become a lot less useful. Live, large-scale Big Tech AI projects are shockingly expensive to run. Some of their costs are fixed – collecting, labeling and processing training data – but the running costs for each query are prodigious. There's a massive primary energy bill for the servers, a nearly as large energy bill for the chillers, and a titanic wage bill for the specialized technical staff involved.

Once investor subsidies dry up, will the real-world, non-hyperbolic applications for AI be enough to cover these running costs? AI applications can be plotted on a 2X2 grid whose axes are "value" (how much customers will pay for them) and "risk tolerance" (how perfect the product needs to be).

Charging teenaged D&D players $10 month for an image generator that creates epic illustrations of their characters fighting monsters is low value and very risk tolerant (teenagers aren't overly worried about six-fingered swordspeople with three pupils in each eye). Charging scammy spamfarms $500/month for a text generator that spits out dull, search-algorithm-pleasing narratives to appear over recipes is likewise low-value and highly risk tolerant (your customer doesn't care if the text is nonsense). Charging visually impaired people $100 month for an app that plays a text-to-speech description of anything they point their cameras at is low-value and moderately risk tolerant ("that's your blue shirt" when it's green is not a big deal, while "the street is safe to cross" when it's not is a much bigger one).

Morganstanley doesn't talk about the trillions the AI industry will be worth some day because of these applications. These are just spinoffs from the main event, a collection of extremely high-value applications. Think of self-driving cars or radiology bots that analyze chest x-rays and characterize masses as cancerous or noncancerous.

These are high value – but only if they are also risk-tolerant. The pitch for self-driving cars is "fire most drivers and replace them with 'humans in the loop' who intervene at critical junctures." That's the risk-tolerant version of self-driving cars, and it's a failure. More than $100b has been incinerated chasing self-driving cars, and cars are nowhere near driving themselves:

https://pluralistic.net/2022/10/09/herbies-revenge/#100-billion-here-100-billion-there-pretty-soon-youre-talking-real-money

Quite the reverse, in fact. Cruise was just forced to quit the field after one of their cars maimed a woman – a pedestrian who had not opted into being part of a high-risk AI experiment – and dragged her body 20 feet through the streets of San Francisco. Afterwards, it emerged that Cruise had replaced the single low-waged driver who would normally be paid to operate a taxi with 1.5 high-waged skilled technicians who remotely oversaw each of its vehicles:

https://www.nytimes.com/2023/11/03/technology/cruise-general-motors-self-driving-cars.html

The self-driving pitch isn't that your car will correct your own human errors (like an alarm that sounds when you activate your turn signal while someone is in your blind-spot). Self-driving isn't about using automation to augment human skill – it's about replacing humans. There's no business case for spending hundreds of billions on better safety systems for cars (there's a human case for it, though!). The only way the price-tag justifies itself is if paid drivers can be fired and replaced with software that costs less than their wages.

What about radiologists? Radiologists certainly make mistakes from time to time, and if there's a computer vision system that makes different mistakes than the sort that humans make, they could be a cheap way of generating second opinions that trigger re-examination by a human radiologist. But no AI investor thinks their return will come from selling hospitals that reduce the number of X-rays each radiologist processes every day, as a second-opinion-generating system would. Rather, the value of AI radiologists comes from firing most of your human radiologists and replacing them with software whose judgments are cursorily double-checked by a human whose "automation blindness" will turn them into an OK-button-mashing automaton:

https://pluralistic.net/2023/08/23/automation-blindness/#humans-in-the-loop

The profit-generating pitch for high-value AI applications lies in creating "reverse centaurs": humans who serve as appendages for automation that operates at a speed and scale that is unrelated to the capacity or needs of the worker:

https://pluralistic.net/2022/04/17/revenge-of-the-chickenized-reverse-centaurs/

But unless these high-value applications are intrinsically risk-tolerant, they are poor candidates for automation. Cruise was able to nonconsensually enlist the population of San Francisco in an experimental murderbot development program thanks to the vast sums of money sloshing around the industry. Some of this money funds the inevitabilist narrative that self-driving cars are coming, it's only a matter of when, not if, and so SF had better get in the autonomous vehicle or get run over by the forces of history.

Once the bubble pops (all bubbles pop), AI applications will have to rise or fall on their actual merits, not their promise. The odds are stacked against the long-term survival of high-value, risk-intolerant AI applications.

The problem for AI is that while there are a lot of risk-tolerant applications, they're almost all low-value; while nearly all the high-value applications are risk-intolerant. Once AI has to be profitable – once investors withdraw their subsidies from money-losing ventures – the risk-tolerant applications need to be sufficient to run those tremendously expensive servers in those brutally expensive data-centers tended by exceptionally expensive technical workers.

If they aren't, then the business case for running those servers goes away, and so do the servers – and so do all those risk-tolerant, low-value applications. It doesn't matter if helping blind people make sense of their surroundings is socially beneficial. It doesn't matter if teenaged gamers love their epic character art. It doesn't even matter how horny scammers are for generating AI nonsense SEO websites:

https://twitter.com/jakezward/status/1728032634037567509

These applications are all riding on the coattails of the big AI models that are being built and operated at a loss in order to be profitable. If they remain unprofitable long enough, the private sector will no longer pay to operate them.

Now, there are smaller models, models that stand alone and run on commodity hardware. These would persist even after the AI bubble bursts, because most of their costs are setup costs that have already been borne by the well-funded companies who created them. These models are limited, of course, though the communities that have formed around them have pushed those limits in surprising ways, far beyond their original manufacturers' beliefs about their capacity. These communities will continue to push those limits for as long as they find the models useful.

These standalone, "toy" models are derived from the big models, though. When the AI bubble bursts and the private sector no longer subsidizes mass-scale model creation, it will cease to spin out more sophisticated models that run on commodity hardware (it's possible that Federated learning and other techniques for spreading out the work of making large-scale models will fill the gap).

So what kind of bubble is the AI bubble? What will we salvage from its wreckage? Perhaps the communities who've invested in becoming experts in Pytorch and Tensorflow will wrestle them away from their corporate masters and make them generally useful. Certainly, a lot of people will have gained skills in applying statistical techniques.

But there will also be a lot of unsalvageable wreckage. As big AI models get integrated into the processes of the productive economy, AI becomes a source of systemic risk. The only thing worse than having an automated process that is rendered dangerous or erratic based on AI integration is to have that process fail entirely because the AI suddenly disappeared, a collapse that is too precipitous for former AI customers to engineer a soft landing for their systems.

This is a blind spot in our policymakers debates about AI. The smart policymakers are asking questions about fairness, algorithmic bias, and fraud. The foolish policymakers are ensnared in fantasies about "AI safety," AKA "Will the chatbot become a superintelligence that turns the whole human race into paperclips?"

https://pluralistic.net/2023/11/27/10-types-of-people/#taking-up-a-lot-of-space

But no one is asking, "What will we do if" – when – "the AI bubble pops and most of this stuff disappears overnight?"

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2023/12/19/bubblenomics/#pop

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

--

tom_bullock (modified) https://www.flickr.com/photos/tombullock/25173469495/

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/

[callofdutymobileindia]

Is Generative AI Training in Bengaluru Worth the Investment in 2025?

In 2025, Generative AI is no longer just a buzzword—it's a transformative technology driving innovation across industries like healthcare, finance, education, media, and software development. As India’s leading tech hub, Bengaluru is at the forefront of this AI revolution. This has given rise to a wave of Generative AI training in Bengaluru, targeted at professionals, students, and entrepreneurs alike.

But the critical question remains: Is investing in Generative AI training in Bengaluru truly worth it? Let’s break it down in terms of value, ROI, career prospects, curriculum relevance, and market demand.

Understanding Generative AI and Its Potential

Generative AI refers to algorithms that can create new content, from text to images, videos, music, and even code. Think ChatGPT, Midjourney, and GitHub Copilot—these tools have made AI accessible and productive.

In Bengaluru, tech companies, startups, and R&D centers are actively hiring talent with Generative AI skills. Whether it’s building chatbots, AI-driven content tools, or autonomous systems, the demand for trained professionals is growing exponentially.

Why Bengaluru for Generative AI Training?

1. India’s AI Capital

Bengaluru, often dubbed the Silicon Valley of India, is home to:

Over 10,000 tech startups

Major AI R&D units of Google, Microsoft, Infosys, and Wipro

A booming ecosystem of accelerators, coworking spaces, and AI meetups

2. Rich Talent and Training Ecosystem

From IISc and IIIT-B to private training providers like the Boston Institute of Analytics, the city offers a range of programs tailored to different levels—from beginner to advanced enterprise AI applications.

3. Industry Integration

Courses in Bengaluru often feature:

Capstone projects in collaboration with startups

Internship opportunities

Direct placement assistance with tech firms in the city

Course Investment: What's the Cost?

Typical Costs in Bengaluru

Short-term bootcamps (4–8 weeks): ₹25,000 – ₹50,000

Comprehensive diploma programs (3–6 months): ₹60,000 – ₹1,50,000

Executive or certification courses with global affiliations: ₹1,50,000 – ₹2,50,000+

Boston Institute of Analytics, for instance, offers:

A hands-on, globally certified Generative AI course

Expert-led live classes

Real-world projects & placement support

EMI options for affordable learning

Considering Bengaluru’s cost of living and competition in the training market, many institutes now provide value-driven pricing without compromising quality.

What You Learn: Core Topics Covered

Here’s what a well-structured Generative AI training in Bengaluru typically covers:

Foundations of AI and ML

Neural Networks and Deep Learning

Natural Language Processing (NLP)

Transformer Models (BERT, GPT, etc.)

Image and Text Generation Techniques

Prompt Engineering & Fine-Tuning

Ethics & Bias in Generative AI

Deployment using Cloud Platforms (AWS, GCP, Azure)

Practical Projects using tools like:

OpenAI APIs

Hugging Face

LangChain

Stability AI

These are not just theoretical concepts but directly tied to real-world applications—making the training industry-relevant.

Additional Value Beyond the Paycheck

✅ Future-Proof Skillset

Generative AI is reshaping software development, design, marketing, and even education. Training now prepares you for tomorrow’s roles.

✅ Entrepreneurial Edge

Want to build the next ChatGPT for fintech or an AI-powered learning app? Generative AI training equips you with the tools to innovate.

✅ Global Relevance

With AI becoming borderless, certifications from Bengaluru-based institutes are often globally recognized, especially if affiliated with international boards or platforms.

Challenges to Consider Before Investing

While the benefits are many, it’s important to assess:

Your learning background: Some courses expect basic programming or ML knowledge.

Time commitment: Weekend vs full-time batches—choose one that fits your schedule.

Course credibility: Choose institutes with strong placement records and industry tie-ups.

Curriculum relevance: Make sure the syllabus includes cutting-edge tools (like GPT-4, DALL·E, etc.).

Who Should Definitely Consider It?

Working IT professionals looking to upskill

Fresh graduates in CS, IT, or data science

Startup founders building AI-powered products

Freelancers and content creators wanting to use AI tools more effectively

Product managers who need AI know-how for decision-making

Final Thoughts: Is It Worth It?

Absolutely. If you’re looking to future-proof your career, enhance your technical credibility, or simply tap into the rapidly expanding AI job market, investing in Generative AI training in Bengaluru in 2025 is a smart and timely decision.

With the city’s dynamic ecosystem, competitive programs, and access to global tech giants, Bengaluru offers more than just learning—it offers transformation.

[hypertechglobaltechnologies]

Transform Your Career with HyperExperts: Your Gateway to Future-Proof Skills

In today's fast-paced digital world, upskilling is not just a choice — it's a necessity. At HyperExperts, we offer industry-relevant, affordable, and accessible courses designed to help you stay ahead in your career. Whether you're a student, job seeker, or working professional, our programs are tailored to match the evolving demands of the modern job market.

Why Choose HyperExperts?

1. Expert-Led Training: Our courses are taught by certified industry professionals with real-world experience. This ensures that you receive practical, hands-on knowledge that can be applied directly in your field.

2. Job-Oriented Curriculum: Each course at HyperExperts is structured with a clear focus on employability. From resume-building sessions to interview preparation, we support your career journey from start to finish.

3. Affordable Learning: We believe quality education should be accessible to all. Our course pricing is competitive and inclusive, offering more value than traditional institutions.

4. Flexible Learning Options: With both online and offline classes, you can learn at your own pace. Our mobile-friendly platform ensures you can study anytime, anywhere.

Our Most Popular Courses

1. Digital Marketing Mastery: Learn SEO, social media marketing, Google Ads, email marketing, and more. Perfect for aspiring marketers and entrepreneurs.

2. Full Stack Web Development: Master front-end and back-end technologies including HTML, CSS, JavaScript, React, Node.js, MongoDB, and more.

3. Data Science and Analytics: Dive into data analytics, Python, machine learning, and data visualization. Ideal for professionals looking to transition into data-driven roles.

4. Cybersecurity Essentials: Protect systems and networks with in-demand skills in ethical hacking, risk management, and cybersecurity compliance.

What Sets Us Apart?

100% Placement Assistance

Certified Course Completion

Live Projects and Case Studies

Personalized Mentorship

Internship Opportunities

Hear from Our Students

Thousands of learners have transformed their careers with HyperExperts. Many have secured high-paying jobs at top companies and started successful freelance careers.

“Enrolling in HyperExperts' Digital Marketing course was a game-changer. The practical training and live projects gave me the confidence to handle real clients.” — Priya S., Digital Marketer

Enroll Today, Shape Your Tomorrow

The future belongs to those who prepare for it today. Whether you want to land your dream job, switch industries, or start your own venture, HyperExperts is your trusted learning partner.

Explore our courses now at https://hyperexperts.in and take the first step toward a brighter future.

[coursebykevin123]

Jason Zhou – AI Builder Club March 2025: Build, Automate, and Scale with Next-Gen AI Systems

Artificial Intelligence isn’t the future anymore—it’s the present. And those who master AI tools today are the ones shaping tomorrow’s businesses, products, and customer experiences. The Jason Zhou – AI Builder Club March 2025 course is your gateway to becoming one of those pioneers.

Whether you're a developer, solopreneur, startup founder, or digital creator, the Jason Zhou – AI Builder Club March 2025 Online Program teaches you how to build, deploy, and monetize powerful AI-driven tools, agents, and workflows—all using cutting-edge no-code and low-code technologies.

What is the Jason Zhou – AI Builder Club March 2025 Program?

The Jason Zhou – AI Builder Club March 2025 Program is an advanced online learning experience created to help ambitious individuals and teams build custom AI tools for real-world application. It covers everything from AI automations to building custom GPTs and launching agent-based products.

With a focus on practical builds, the course guides you in creating market-ready AI projects. These could be:

Automated customer service agents

Content generation tools

AI-powered data dashboards

Lead generation bots

SaaS MVPs using GPT, Claude, or Gemini

Whether you’re a tech-savvy entrepreneur or someone looking to break into AI development with little coding knowledge, this course gives you a step-by-step blueprint.

Meet the Creator: Jason Zhou

Jason Zhou is a rising name in the AI builder space, known for his actionable and technical insights shared across platforms like Twitter, YouTube, and his AI community. He’s built dozens of AI agents, automated systems, and monetized tools using both open-source and commercial models like ChatGPT, Claude, Mistral, and LLM APIs.

What sets Jason apart is that he doesn’t just teach AI theory. He builds real tools, ships products, and shows you exactly how to do the same—inside the AI Builder Club March 2025 Online Course By Jason Zhou.

What Will You Learn Inside the Course?

The Jason Zhou – AI Builder Club March 2025 Online Course is designed to be hands-on and high-impact. It’s less about lectures and more about building real tools you can use or sell.

Here’s what’s covered:

🔹 Module 1: Understanding the AI Tool Stack

Overview of the current AI landscape

Choosing the right LLM: OpenAI, Claude, Gemini, Mistral

Prompt engineering and chaining logic

What makes an AI tool actually useful to users

🔹 Module 2: No-Code & Low-Code Development

Using tools like Make, Zapier, Retool, and Bubble

Creating UI/UX for AI-powered SaaS tools

Building backend logic with APIs and scripting

Hosting and scaling tools using affordable stacks

🔹 Module 3: Building Your First AI Product

Project-based learning: real GPT-powered app builds

Templates for newsletter generators, copywriting tools, and outreach bots

Integrating Google Sheets, Notion, Slack, and other apps

How to deploy your MVP in under a week

🔹 Module 4: AI Agents and Automations

Creating memory-based agents for long-term conversations

Setting up multi-step decision workflows

Building business process agents for clients

Using embeddings and vector search for smarter output

🔹 Module 5: Monetization & Launch Strategies

How to package and sell your AI tools

Finding profitable problems to solve

Jason’s launch playbook: Gumroad, Product Hunt, Twitter

Pricing models, freemium vs. paid, and building an audience

🔹 Bonuses and Extras

Live recorded sessions with community Q&A

Code snippets and project repositories

Pre-built templates to kickstart your own projects

Discord access to the AI Builder Club community

Who Should Take This Course?

The AI Builder Club March 2025 Online Program By Jason Zhou is perfect for:

✅ Indie hackers and solopreneurs who want to build and sell AI tools

✅ Developers and engineers ready to learn no-code/low-code workflows

✅ Agencies and consultants who want to offer AI services

✅ Content creators and marketers who want to automate tasks

✅ Anyone interested in launching their first AI project in weeks, not months

You don’t need deep technical skills. If you understand how to use basic tools and APIs, you can follow along and build powerful systems.

Why AI Builder Club March 2025 Is a Game-Changer

The Jason Zhou – AI Builder Club March 2025 Online Program isn’t your average “AI 101” course. It’s an execution-based masterclass for building real-world tools that deliver value and create income.

What sets it apart?

🛠 Project-Based Learning: You’ll finish the course with actual AI tools, not just notes.

🔁 Updated for March 2025: Covers the latest changes in GPT-4o, Claude 3.5, open-source models, and tool integrations.

📦 Monetization Focus: Learn not just to build—but to launch and earn.

⚙️ Template Driven: Pre-built frameworks accelerate your learning and implementation.

🤝 Community Access: Get direct feedback and support from builders just like you.

You’ll walk away with both the knowledge and the tools to launch your own AI business or automate your company’s internal operations.

Student Reviews and Results

“Before this course, I had no idea how to build with GPT. After just a few weeks, I launched a content repurposing AI tool that’s now making passive income.” “Jason makes complex workflows simple and fun. The AI Builder Club March 2025 Online Course By Jason Zhou changed the way I think about automation.” “The best course I’ve taken on practical AI applications. No fluff. Just build, ship, and launch.”

Where to Buy the Course

The Jason Zhou – AI Builder Club March 2025 Online Course is available now from trusted platforms.

👉 We recommend buying directly from ECOMKEVIN COURSE

This platform ensures secure checkout, immediate access, and all bonus material included.

Final Thoughts

AI isn’t a buzzword anymore — it’s a core skill for entrepreneurs and digital professionals. The

Artificial Intelligence isn’t the future anymore—it’s the present. And those who master AI tools today are the ones shaping tomorrow’s businesses, products, and customer experiences. The Jason Zhou – AI Builder Club March 2025 course is your gateway to becoming one of those pioneers.

Whether you're a developer, solopreneur, startup founder, or digital creator, the Jason Zhou – AI Builder Club March 2025 Online Program teaches you how to build, deploy, and monetize powerful AI-driven tools, agents, and workflows—all using cutting-edge no-code and low-code technologies.

What is the Jason Zhou – AI Builder Club March 2025 Program?

The Jason Zhou – AI Builder Club March 2025 Program is an advanced online learning experience created to help ambitious individuals and teams build custom AI tools for real-world application. It covers everything from AI automations to building custom GPTs and launching agent-based products.

With a focus on practical builds, the course guides you in creating market-ready AI projects. These could be:

Automated customer service agents

Content generation tools

AI-powered data dashboards

Lead generation bots

SaaS MVPs using GPT, Claude, or Gemini

Whether you’re a tech-savvy entrepreneur or someone looking to break into AI development with little coding knowledge, this course gives you a step-by-step blueprint.

Meet the Creator: Jason Zhou

Jason Zhou is a rising name in the AI builder space, known for his actionable and technical insights shared across platforms like Twitter, YouTube, and his AI community. He’s built dozens of AI agents, automated systems, and monetized tools using both open-source and commercial models like ChatGPT, Claude, Mistral, and LLM APIs.

What sets Jason apart is that he doesn’t just teach AI theory. He builds real tools, ships products, and shows you exactly how to do the same—inside the AI Builder Club March 2025 Online Course By Jason Zhou.

What Will You Learn Inside the Course?

The Jason Zhou – AI Builder Club March 2025 Online Course is designed to be hands-on and high-impact. It’s less about lectures and more about building real tools you can use or sell.

Here’s what’s covered:

🔹 Module 1: Understanding the AI Tool Stack

Overview of the current AI landscape

Choosing the right LLM: OpenAI, Claude, Gemini, Mistral

Prompt engineering and chaining logic

What makes an AI tool actually useful to users

🔹 Module 2: No-Code & Low-Code Development

Using tools like Make, Zapier, Retool, and Bubble

Creating UI/UX for AI-powered SaaS tools

Building backend logic with APIs and scripting

Hosting and scaling tools using affordable stacks

🔹 Module 3: Building Your First AI Product

Project-based learning: real GPT-powered app builds

Templates for newsletter generators, copywriting tools, and outreach bots

Integrating Google Sheets, Notion, Slack, and other apps

How to deploy your MVP in under a week

🔹 Module 4: AI Agents and Automations

Creating memory-based agents for long-term conversations

Setting up multi-step decision workflows

Building business process agents for clients

Using embeddings and vector search for smarter output

🔹 Module 5: Monetization & Launch Strategies

How to package and sell your AI tools

Finding profitable problems to solve

Jason’s launch playbook: Gumroad, Product Hunt, Twitter

Pricing models, freemium vs. paid, and building an audience

🔹 Bonuses and Extras

Live recorded sessions with community Q&A

Code snippets and project repositories

Pre-built templates to kickstart your own projects

Discord access to the AI Builder Club community

Who Should Take This Course?

The AI Builder Club March 2025 Online Program By Jason Zhou is perfect for:

✅ Indie hackers and solopreneurs who want to build and sell AI tools

✅ Developers and engineers ready to learn no-code/low-code workflows

✅ Agencies and consultants who want to offer AI services

✅ Content creators and marketers who want to automate tasks

✅ Anyone interested in launching their first AI project in weeks, not months

You don’t need deep technical skills. If you understand how to use basic tools and APIs, you can follow along and build powerful systems.

Why AI Builder Club March 2025 Is a Game-Changer

The Jason Zhou – AI Builder Club March 2025 Online Program isn’t your average “AI 101” course. It’s an execution-based masterclass for building real-world tools that deliver value and create income.

What sets it apart?

🛠 Project-Based Learning: You’ll finish the course with actual AI tools, not just notes.

🔁 Updated for March 2025: Covers the latest changes in GPT-4o, Claude 3.5, open-source models, and tool integrations.

📦 Monetization Focus: Learn not just to build—but to launch and earn.

⚙️ Template Driven: Pre-built frameworks accelerate your learning and implementation.

🤝 Community Access: Get direct feedback and support from builders just like you.

You’ll walk away with both the knowledge and the tools to launch your own AI business or automate your company’s internal operations.

Student Reviews and Results

“Before this course, I had no idea how to build with GPT. After just a few weeks, I launched a content repurposing AI tool that’s now making passive income.” “Jason makes complex workflows simple and fun. The AI Builder Club March 2025 Online Course By Jason Zhou changed the way I think about automation.” “The best course I’ve taken on practical AI applications. No fluff. Just build, ship, and launch.”

Where to Buy the Course

The Jason Zhou – AI Builder Club March 2025 Online Course is available now from trusted platforms.

👉 We recommend buying directly from ECOMKEVIN COURSE

This platform ensures secure checkout, immediate access, and all bonus material included.

Final Thoughts

AI isn’t a buzzword anymore — it’s a core skill for entrepreneurs and digital professionals. The

Artificial Intelligence isn’t the future anymore—it’s the present. And those who master AI tools today are the ones shaping tomorrow’s businesses, products, and customer experiences. The Jason Zhou – AI Builder Club March 2025 course is your gateway to becoming one of those pioneers.

Whether you're a developer, solopreneur, startup founder, or digital creator, the Jason Zhou – AI Builder Club March 2025 Online Program teaches you how to build, deploy, and monetize powerful AI-driven tools, agents, and workflows—all using cutting-edge no-code and low-code technologies.

What is the Jason Zhou – AI Builder Club March 2025 Program?

The Jason Zhou – AI Builder Club March 2025 Program is an advanced online learning experience created to help ambitious individuals and teams build custom AI tools for real-world application. It covers everything from AI automations to building custom GPTs and launching agent-based products.

With a focus on practical builds, the course guides you in creating market-ready AI projects. These could be:

Automated customer service agents

Content generation tools

AI-powered data dashboards

Lead generation bots

SaaS MVPs using GPT, Claude, or Gemini

Whether you’re a tech-savvy entrepreneur or someone looking to break into AI development with little coding knowledge, this course gives you a step-by-step blueprint.

Meet the Creator: Jason Zhou

Jason Zhou is a rising name in the AI builder space, known for his actionable and technical insights shared across platforms like Twitter, YouTube, and his AI community. He’s built dozens of AI agents, automated systems, and monetized tools using both open-source and commercial models like ChatGPT, Claude, Mistral, and LLM APIs.

What sets Jason apart is that he doesn’t just teach AI theory. He builds real tools, ships products, and shows you exactly how to do the same—inside the AI Builder Club March 2025 Online Course By Jason Zhou.

What Will You Learn Inside the Course?

The Jason Zhou – AI Builder Club March 2025 Online Course is designed to be hands-on and high-impact. It’s less about lectures and more about building real tools you can use or sell.

Here’s what’s covered:

🔹 Module 1: Understanding the AI Tool Stack

Overview of the current AI landscape

Choosing the right LLM: OpenAI, Claude, Gemini, Mistral

Prompt engineering and chaining logic

What makes an AI tool actually useful to users

🔹 Module 2: No-Code & Low-Code Development

Using tools like Make, Zapier, Retool, and Bubble

Creating UI/UX for AI-powered SaaS tools

Building backend logic with APIs and scripting

Hosting and scaling tools using affordable stacks

🔹 Module 3: Building Your First AI Product

Project-based learning: real GPT-powered app builds

Templates for newsletter generators, copywriting tools, and outreach bots

Integrating Google Sheets, Notion, Slack, and other apps

How to deploy your MVP in under a week

🔹 Module 4: AI Agents and Automations

Creating memory-based agents for long-term conversations

Setting up multi-step decision workflows

Building business process agents for clients

Using embeddings and vector search for smarter output

🔹 Module 5: Monetization & Launch Strategies

How to package and sell your AI tools

Finding profitable problems to solve

Jason’s launch playbook: Gumroad, Product Hunt, Twitter

Pricing models, freemium vs. paid, and building an audience

🔹 Bonuses and Extras

Live recorded sessions with community Q&A

Code snippets and project repositories

Pre-built templates to kickstart your own projects

Discord access to the AI Builder Club community

Who Should Take This Course?

The AI Builder Club March 2025 Online Program By Jason Zhou is perfect for:

✅ Indie hackers and solopreneurs who want to build and sell AI tools

✅ Developers and engineers ready to learn no-code/low-code workflows

✅ Agencies and consultants who want to offer AI services

✅ Content creators and marketers who want to automate tasks

✅ Anyone interested in launching their first AI project in weeks, not months

You don’t need deep technical skills. If you understand how to use basic tools and APIs, you can follow along and build powerful systems.

Why AI Builder Club March 2025 Is a Game-Changer

The Jason Zhou – AI Builder Club March 2025 Online Program isn’t your average “AI 101” course. It’s an execution-based masterclass for building real-world tools that deliver value and create income.

What sets it apart?

🛠 Project-Based Learning: You’ll finish the course with actual AI tools, not just notes.

🔁 Updated for March 2025: Covers the latest changes in GPT-4o, Claude 3.5, open-source models, and tool integrations.

📦 Monetization Focus: Learn not just to build—but to launch and earn.

⚙️ Template Driven: Pre-built frameworks accelerate your learning and implementation.

🤝 Community Access: Get direct feedback and support from builders just like you.

You’ll walk away with both the knowledge and the tools to launch your own AI business or automate your company’s internal operations.

Student Reviews and Results

“Before this course, I had no idea how to build with GPT. After just a few weeks, I launched a content repurposing AI tool that’s now making passive income.” “Jason makes complex workflows simple and fun. The AI Builder Club March 2025 Online Course By Jason Zhou changed the way I think about automation.” “The best course I’ve taken on practical AI applications. No fluff. Just build, ship, and launch.”

Where to Buy the Course

The Jason Zhou – AI Builder Club March 2025 Online Course is available now from trusted platforms.

👉 We recommend buying directly from ECOMKEVIN COURSE

This platform ensures secure checkout, immediate access, and all bonus material included.

Final Thoughts

AI isn’t a buzzword anymore — it’s a core skill for entrepreneurs and digital professionals. The Jason Zhou – AI Builder Club March 2025 Program gives you the tools, strategies, and step-by-step projects to turn ideas into fully functional AI products.

Whether you want to automate workflows, build your first AI SaaS, or generate income by solving niche problems with smart tools—this course is your complete blueprint.

If you’re serious about AI, now is the time to act. Get started with Jason Zhou’s most practical and powerful course yet — and start building the future with your own hands.

 gives you the tools, strategies, and step-by-step projects to turn ideas into fully functional AI products.

Whether you want to automate workflows, build your first AI SaaS, or generate income by solving niche problems with smart tools—this course is your complete blueprint.

If you’re serious about AI, now is the time to act. Get started with Jason Zhou’s most practical and powerful course yet — and start building the future with your own hands.

 gives you the tools, strategies, and step-by-step projects to turn ideas into fully functional AI products.

Whether you want to automate workflows, build your first AI SaaS, or generate income by solving niche problems with smart tools—this course is your complete blueprint.

If you’re serious about AI, now is the time to act. Get started with Jason Zhou’s most practical and powerful course yet — and start building the future with your own hands.

[skillpilothub]

What You’ll Learn in a Data Science Bootcamp: A Syllabus Breakdown

At a time when companies are so dependent on information, it is not an exaggeration to say that the job of a data analyst is essential. Data analysts are vital whether they report to a retail company to understand their customer behaviours or a hospital to understand how to treat its patients better by making sense out of their data insights. So what can one do on those with little or no background in data? The following guide will help you, even starting with zero, on how to become a data analyst.

What Does a Data Analyst Do?

It is good to know what a data analyst does before getting straight to the steps. A data analyst gathers, analyses and interprets data in order to aid organizations undertake problem solving and make sound decisions.

Key Responsibilities Include:

Collection and cleaning up of data

operative Trends and pattern analysis

Report and dashboard creation

Presenting clear solutions to laypeople teams

Consider a data analyst as a translator, one who makes confusing numbers tell stories that other individuals can be able to act on.

Step 1: Understand the Role and Assess Your Interest

Everyone fond of the numbers is not suited to do the data analysis. It takes curiosity, attention to details, and communication abilities.

Problem:Most novices believe that it is more concerned with coding or math, but pay insufficient attention to the storytelling part and critical thinking.

Solution: Start by reading job descriptions or talking to professionals. Ask yourself:

Is it that I like solving puzzles?

Do I get along or am I comfortable with spreadsheets or numbers?

Is my preference to get the solution based on data?

Real-life example: Sarah, a customer support rep, saw trends in the field of complaints and began to monitor it in Excel. She did not realize it at the time, but she was already engaging in this kind of basic data analysis.

Step 2: Learn the Basics of Data and Analytics

You don’t need a degree in statistics to start, but you do need foundational knowledge.

Core Areas to Learn:

Spreadsheets (Excel or Google Sheets): These are often the first tools used for data analysis.

Statistics and Math: Understand averages, medians, probability, and standard deviation.

Data Visualization: Learn how to create charts and graphs that make data easy to understand.

Basic SQL (Structured Query Language): This helps you access and retrieve data from databases.

Antithesis: Some argue that you need to master advanced programming languages first. But in reality, many data analysts begin with spreadsheets and work their way up.

Step 3: Learn a Data Analysis Tool or Language

Once you’ve mastered the basics, it’s time to get comfortable with one or more tools used in the field.

Commonly Used Tools:

SQL: For querying databases

Python or R: For advanced analysis and automation

Tableau or Power BI: For creating dashboards and visual reports

Practical Tip: Don’t try to learn everything at once. Choose one tool based on the kind of job you’re aiming for. If you're interested in marketing analysis, Excel and SQL might be enough to start. If you’re leaning towards finance or research, Python may be more useful.

Step 4: Work on Real Projects

The theoretical study is amazing, but the practice is what leads to development.

Problem: Most learners are helpless upon completion of courses: they have experience only.

Solution: Run your own project. For example:

Open government data analysis

Follow your own spending and start trending

Compare the house prices locally based on the available information provided by the government

Real-life example:  John, a teacher who was transformed into a data analyst, will have opportunities to find patterns and causes of absence by relying on school attendance data. He worked in Excel and later was able to include Tableau to add visualizations. It turned into a powerful resume item during job applications.

Step 5: Build a Portfolio

Employers would like to know what you are capable of. Portfolio demonstrates your abilities in practice and helps to prove that you are ready to be hired.

What to Include:

The description of the project in brief consists of the following:

Tool and approaches employed

Visual aids such as charts or dashboard

Your convictions and conclusions

You are able to share a portfolio on your personal blog, LinkedIn, or GitHub. It is all a matter of clarity and confidence with which you can deliver your work.

Step 6: Practice Communication Skills

Becoming a data analyst is not merely all about numbers. You should communicate your results to those who may not be conversant with data in any way.

Key Skills to Develop:

Clearly formulated writing

Creating great slide decks

Giving a secure presentation during meetings

Antithesis: Some others suppose that powerful technical proficiency is a guarantee on its own. Nevertheless, analysts that are somehow incompetent in communicating their results will not have much impact.

Step 7: Apply for Entry-Level Roles or Internships

With a few solid projects and basic tools under your belt, you’re ready to start applying. Look for roles like:

Junior Data Analyst

Reporting Analyst

Business Intelligence Intern

Tailor your resume to highlight practical skills and include links to your portfolio.

Final Thoughts

Turning into a data analyst is not a race. You do not require being a mathematical genius or a coding master to start. Curiosity, an ability to learn and patience to develop skills gradually are also needed.

Summary Checklist:

Understand the role

master fundamentals (spreadsheet, statistics, SQL)

Select any one analysis tool

Carry out real world projects

Create a portfolio

Practice communication

Take entry level jobs

It may seem overwhelming at first, but many successful analysts started just where you are—curious, uncertain, but ready to learn.

[aimarketresearch]

Augmented Reality (AR) and Mixed Reality (MR) Market Size, Share, Trends, Growth and Competitive Outlook

Executive Summary Augmented Reality (AR) and Mixed Reality (MR) Market :

The global augmented reality (AR) and mixed reality (MR) market size was valued at USD 52.21 billion in 2023, is projected to reach USD 1,374.15 billion by 2031, with a CAGR of 50.5% during the forecast period 2024 to 2031.

This Augmented Reality (AR) and Mixed Reality (MR) Market report provides key statistics on the market status of global and regional manufacturers and is a valuable source of guidance and direction for companies and individuals interested in the industry. All the information, facts, and statistics covered in the report lead to actionable ideas, improved decision-making and better deciding business strategies. This report comprehensively studies consumption or sales of the market, focuses on the top players with respect to sales, price, revenue and market share (volume and value) for each region. All the market drivers and restraints in the Augmented Reality (AR) and Mixed Reality (MR) Market report have been derived using SWOT analysis.

Augmented Reality (AR) and Mixed Reality (MR) Market research report takes into consideration several industry verticals such as company profile, contact details of manufacturer, product specifications, geographical scope, production value, market structures, recent developments, revenue analysis, market shares and possible sales volume of the company. This Augmented Reality (AR) and Mixed Reality (MR) Market report is very reliable as all the data and information regarding the  industry is collected via genuine sources such as websites, journals, annual reports of the companies, and magazines. Augmented Reality (AR) and Mixed Reality (MR) Market research report consists of latest, comprehensive and most up-to-date market information and a precious data.

Discover the latest trends, growth opportunities, and strategic insights in our comprehensive Augmented Reality (AR) and Mixed Reality (MR) Market report. Download Full Report: https://www.databridgemarketresearch.com/reports/global-augmented-reality-ar-and-mixed-reality-mr-market

Augmented Reality (AR) and Mixed Reality (MR) Market Overview

**Segments**

- By Component: Hardware, Software - By Device Type: Head-Mounted Display, Head-Up Display, Handheld Device - By Technology: Augmented Reality, Mixed Reality - By Industry: Gaming, Entertainment, Healthcare, Aerospace & Defense, Automotive, Retail

The global Augmented Reality (AR) and Mixed Reality (MR) market is segmented based on various factors such as component, device type, technology, and industry. In terms of components, the market can be divided into hardware and software. Hardware segment includes devices like head-mounted displays, head-up displays, and handheld devices, while software segment comprises the necessary programs and applications for AR and MR technologies. When it comes to device types, AR and MR market is categorized into head-mounted displays, head-up displays, and handheld devices. The technology segment includes Augmented Reality and Mixed Reality, each offering unique capabilities and applications. Additionally, the market is also segmented by industry, with key sectors being gaming, entertainment, healthcare, aerospace & defense, automotive, and retail, among others.

**Market Players**

- Microsoft Corporation - Alphabet Inc. (Google) - Apple Inc. - Sony Corporation - Magic Leap Inc. - Samsung Electronics Co. Ltd. - Facebook Technologies, LLC - HTC Corporation - PTC Inc. - Seiko Epson Corporation

Some of the major players in the global Augmented Reality (AR) and Mixed Reality (MR) market include Microsoft Corporation, Alphabet Inc. (Google), Apple Inc., Sony Corporation, Magic Leap Inc., Samsung Electronics Co. Ltd., Facebook Technologies, LLC, HTC Corporation, PTC Inc., and Seiko Epson Corporation. These companies are actively involved in the development and commercialization of AR and MR technologies, offering innovative solutions and driving market growth through strategic partnerships, acquisitions, and product launches.

The global Augmented Reality (AR) and Mixed Reality (MR) market is currently witnessing significant growth and is poised for further expansion in the coming years. One of the key drivers of this market is the increasing adoption of AR and MR technologies across various industries. In the gaming sector, AR and MR are revolutionizing the gaming experience by providing immersive and interactive gameplay. Entertainment industry is leveraging AR and MR for creating captivating content and engaging audiences in new ways. The healthcare sector is utilizing AR and MR for training healthcare professionals, surgical procedures, and patient care, leading to improved outcomes and efficiency.

Moreover, the aerospace & defense industry is utilizing AR and MR technologies for training simulations, maintenance procedures, and enhancing situational awareness. Automotive sector is incorporating AR and MR for enhancing driver safety, providing real-time information, and creating futuristic driving experiences. Retail industry is implementing AR and MR to offer interactive shopping experiences, virtual try-on solutions, and personalized shopping recommendations to customers. The versatility and applicability of AR and MR technologies across diverse industries are driving market growth and innovation.

In addition to industry applications, advancements in AR and MR hardware and software are pushing the boundaries of what these technologies can achieve. Companies like Microsoft Corporation, Apple Inc., and Alphabet Inc. (Google) are investing heavily in developing cutting-edge hardware such as head-mounted displays and handheld devices that offer seamless AR and MR experiences. Software companies like PTC Inc. and Facebook Technologies, LLC are creating innovative applications and platforms that enable businesses and consumers to leverage AR and MR for various use cases.

Furthermore, the global AR and MR market is characterized by intense competition and rapid technological advancements. Market players are continuously striving to enhance the user experience, improve the performance of AR and MR technologies, and expand their market presence through strategic collaborations and acquisitions. As consumer awareness and acceptance of AR and MR continue to increase, the market is expected to witness robust growth and widespread adoption across industries. The future of AR and MR technologies holds immense potential for transforming how we interact with the digital world and creating new opportunities for businesses and consumers alike.The global Augmented Reality (AR) and Mixed Reality (MR) market is experiencing a significant surge in growth due to the increasing adoption of these technologies across various industries. AR and MR have transformed the gaming sector by offering immersive gameplay experiences and innovative content delivery methods. In the entertainment industry, these technologies are reshaping how content is created and consumed, engaging audiences in new and interactive ways. The healthcare sector is leveraging AR and MR for training purposes, surgical procedures, and patient care, leading to improved outcomes and enhanced efficiency in the sector. Aerospace & defense industries are utilizing AR and MR for training simulations, maintenance procedures, and improving situational awareness. Automotive companies are integrating AR and MR to enhance driver safety, provide real-time information, and create futuristic driving experiences. Retailers are implementing AR and MR to offer interactive shopping experiences, virtual try-on solutions, and personalized shopping recommendations, enhancing the overall customer experience.

Key market players such as Microsoft Corporation, Apple Inc., and Alphabet Inc. (Google) are heavily investing in developing cutting-edge hardware like head-mounted displays and handheld devices to provide seamless AR and MR experiences. Software companies like PTC Inc. and Facebook Technologies, LLC are creating innovative applications and platforms that enable businesses and consumers to leverage AR and MR for various use cases. The competitive landscape of the AR and MR market is characterized by rapid technological advancements and intense competition among players. Companies are continuously focusing on enhancing user experience, improving technology performance, and expanding market presence through strategic collaborations and acquisitions. As consumer awareness and acceptance of AR and MR technologies increase, the market is expected to witness substantial growth and widespread adoption across industries, unlocking new opportunities for businesses and consumers alike.

Looking ahead, the future of AR and MR technologies holds immense potential for transforming digital interactions and creating unique business prospects. With advancements in hardware and software capabilities, AR and MR are poised to offer even more immersive, engaging, and practical solutions across various sectors. The continuous evolution of these technologies, coupled with the innovative strategies of market players, will drive further growth and innovation in the global AR and MR market. As businesses across industries continue to explore the benefits of AR and MR applications, the market is projected to expand significantly, positioning these technologies as integral tools for enhancing experiences and driving business success in the digital age.

The Augmented Reality (AR) and Mixed Reality (MR) Market is highly fragmented, featuring intense competition among both global and regional players striving for market share. To explore how global trends are shaping the future of the top 10 companies in the keyword market.

Learn More Now: https://www.databridgemarketresearch.com/reports/global-augmented-reality-ar-and-mixed-reality-mr-market/companies

DBMR Nucleus: Powering Insights, Strategy & Growth

DBMR Nucleus is a dynamic, AI-powered business intelligence platform designed to revolutionize the way organizations access and interpret market data. Developed by Data Bridge Market Research, Nucleus integrates cutting-edge analytics with intuitive dashboards to deliver real-time insights across industries. From tracking market trends and competitive landscapes to uncovering growth opportunities, the platform enables strategic decision-making backed by data-driven evidence. Whether you're a startup or an enterprise, DBMR Nucleus equips you with the tools to stay ahead of the curve and fuel long-term success.

Reasons to Consider This Report

To understand the Augmented Reality (AR) and Mixed Reality (MR) Market landscape and identify market segments that are most likely to guarantee a strong return

Stay ahead of the race by comprehending the ever-changing competitive landscape for Augmented Reality (AR) and Mixed Reality (MR) Market

Efficiently plan M&A and partnership deals in Augmented Reality (AR) and Mixed Reality (MR) Market by identifying market segments with the most promising probable sales

Helps to take knowledgeable business decisions from perceptive and comprehensive analysis of market performance of various segments of cannabis seeds market

Obtain market revenue forecasts for the Augmented Reality (AR) and Mixed Reality (MR) Market by various segments in regions.

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Data Bridge Market Research set forth itself as an unconventional and neoteric market research and consulting firm with an unparalleled level of resilience and integrated approaches. We are determined to unearth the best market opportunities and foster efficient information for your business to thrive in the market. Data Bridge endeavors to provide appropriate solutions to the complex business challenges and initiates an effortless decision-making process. Data Bridge is an aftermath of sheer wisdom and experience which was formulated and framed in the year 2015 in Pune.

Contact Us: Data Bridge Market Research US: +1 614 591 3140 UK: +44 845 154 9652 APAC : +653 1251 975 Email:- corporatesales@databridgemarketresearch.com

Tag: Augmented Reality (AR) and Mixed Reality (MR), Augmented Reality (AR) and Mixed Reality (MR) Size, Augmented Reality (AR) and Mixed Reality (MR) Share, Augmented Reality (AR) and Mixed Reality (MR) Growth

[skillbabu]

How learning best python skill  can transform your career in 2025

In 2025, tech skills are evolving faster than ever — and Python has become the top programming language powering the future of artificial intelligence and machine learning. Whether you're a beginner or looking to upskill, learning Python for AI and ML could be the career move that sets you apart in this competitive job market.

Key benefits of learning python for AI & ML in 2025

Future-Proof Skill

As automation and AI become integral to every industry, Python fluency gives you a competitive edge in an AI-first world.

Beginner-Friendly Yet Powerful

You don’t need a computer science degree to learn Python. It’s perfect for non-tech professionals transitioning into tech careers.

Freelance and Remote Opportunities

Python developers working in AI and ML are in high demand on platforms like Upwork and Toptal many command salaries above six figures, working remotely.

Community and Resources

With massive open-source support, free tutorials, and active forums, you can learn Python for AI even without formal education.

Create roadmap: python for Ai and Machine learning

Master the Basics Start with variables, data types, loops, functions, and object-oriented programming in Python.

Understand Data Science Foundations Learn to work with Pandas, NumPy, and Matplotlib for data preprocessing and visualization.

Dive into Machine Learning Explore supervised and unsupervised learning using Scikit-learn, then graduate to TensorFlow and PyTorch for deep learning.

Build Real Projects Hands-on experience is key. Start building real-world applications like:

Spam email classifier

Stock price predictor

Chatbot using NLP

Why python is the best language for AI & Machine learning

Python's simplicity, vast libraries, and flexibility make it the best programming language for artificial intelligence. With intuitive syntax and community support, it's a favorite among data scientists, developers, and AI engineers.

✅ High-demand Python libraries in AI:

TensorFlow and Keras – deep learning models

Scikit-learn – machine learning algorithms

Pandas & NumPy – data analysis and manipulation

Matplotlib & Seaborn – data visualization

These tools allow developers to build everything from predictive models to smart recommendation systems  all using Python.

Career Opportunities After Learning Python for AI

If you're wondering how Python for AI and ML can shape your future, consider this: tech companies, startups, and even non-tech industries are hiring for roles like:

Machine Learning Engineer

AI Developer

Data Scientist

Python Automation Engineer

NLP (Natural Language Processing) Specialist

According to LinkedIn and Glassdoor, these roles are not just high-paying but are also projected to grow rapidly through 2030.

Best courses to learn python for Ai & ML in 2025

Google AI with Python (Free course on Coursera)

Python course With SKILL BABU  

IBM Applied AI Certification

Udemy: Python for Machine Learning & Data Science

Fast.ai Deep Learning Courses (Free)

These programs offer certifications that can boost your resume and help you stand out to employers.

Conclusion: Choose  Your Best Career with Python in 2025

If you’re looking to stay ahead in 2025’s job market, learning Python for AI and machine learning is more than a smart move , it’s a career game-changer. With endless growth opportunities, high-paying roles, and the chance to work on cutting-edge technology, Python opens doors to a future-proof tech career.

Start today. The future is written in Python.

[hollowharmonystarlight]

Introduction to RA Global Solutions BD

Introduction

RA Global Solutions BD is a dynamic, multi-service agency based in Bangladesh offering cutting-edge digital, educational, and business services to clients locally and internationally. With a focus on innovation, customer satisfaction, and long-term success, the organization empowers entrepreneurs, students, and enterprises through a variety of tailored solutions.

Why Choose RA Global Solutions BD?

Choosing RA Global Solutions BD means tapping into a reliable team that combines technology, creativity, and strategic thinking. From digital growth and global education support to freelancing training and outsourcing services, RA Global has established itself as a powerhouse for modern business and personal success.

✅ Key Benefits:

Wide range of professional services under one roof

Affordable and flexible pricing models

Skilled professionals with global experience

High customer satisfaction rate

Strong online presence and client feedback

1. Digital Marketing Mastery

Digital marketing is at the core of RA Global Solutions BD’s offerings. Their marketing team helps businesses grow online by optimizing their digital footprint through advanced strategies.

Search Engine Optimization (SEO)

SEO services are designed to improve visibility in search engines, ensuring your brand gets found. RA Global uses:

Keyword research

On-page & off-page SEO

Local SEO optimization

Monthly reporting

Social Media Marketing

Social platforms like Facebook, Instagram, LinkedIn, and TikTok are used to:

Increase brand engagement

Run creative ad campaigns

Grow follower base organically

Track performance using analytics

Pay-Per-Click (PPC) Campaigns

Maximize ROI with expertly managed Google Ads and Meta Ads:

Ad copywriting

Budget management

Performance optimization

A/B testing strategies

2. Web & App Development Services

Whether you’re launching a brand-new site or want to revamp an app, RA Global’s development team delivers fast, secure, and responsive results.

Custom Website Solutions

WordPress & Shopify development

SEO-optimized layouts

E-commerce & business websites

Responsive, mobile-first design

Mobile Application Development

Android & iOS app creation

Cross-platform frameworks (Flutter, React Native)

App store deployment

User interface/UX optimization

3. Graphic Design & Branding

Your brand’s visual identity makes a lasting impression. RA Global crafts unique visuals that resonate.

Logo and Brand Identity

Custom logo design

Color palette & typography planning

Business cards and digital signature templates

Visual Marketing Materials

Brochures, flyers, posters

Social media graphics

Corporate profiles and pitch decks

4. Business Process Outsourcing (BPO)

Outsourcing allows businesses to scale efficiently. RA Global’s BPO services help reduce costs and improve productivity.

Customer Support Solutions

Multilingual call center

Email & live chat support

24/7 availability

Data Entry & Virtual Assistance

Accurate data processing

Admin task outsourcing

Document digitization

5. Educational Consultancy

Planning to study abroad? RA Global provides end-to-end support.

Study Abroad Services

Admission assistance for Canada, UK, Australia

Institution matching based on profile

SOP writing & document processing

Visa & Application Guidance

Visa interview coaching

Financial documentation help

Embassy appointment scheduling

✅ FAQs

1. What services does RA Global Solutions BD offer?

RA Global offers digital marketing, web development, educational consultancy, BPO, corporate training, and travel packages.

2. How can I contact RA Global Solutions BD?

You can reach them via email, WhatsApp, or visit their official Facebook page for inquiries.

3. Does RA Global help with freelancing skills?

Yes! They offer freelancing support services including skill training and marketplace setup (Fiverr, Upwork).

4. What countries are covered in the study abroad program?

RA Global supports applications for Canada, UK, USA, Australia, and several European countries.

5. Do they offer corporate training?

Yes. Customized training programs for employees, startups, and enterprises are available both in-person and online.

6. Is RA Global Solutions BD affordable?

Absolutely. Their packages are flexible and designed to support students, startups, and growing businesses.

✅ Conclusion

RA Global Solutions BD is more than just a service provider — it's a partner in growth. Whether you're an entrepreneur looking to scale, a student aiming to study abroad, or a business needing outsourcing, RA Global delivers results.