#chatgpt prompt engineering course

[genzeeacademy]

[businessiideahindi]

Prompt Engineering से पैसे कमाएँ |Unique way to earn money online..

Prompt Engineering : online सफलता के लिए प्रभावी Prompt डिज़ाइन करना | Online संचार के तेजी से विकसित हो रहे परिदृश्य में, Prompt Engineering एक महत्व��ूर्ण कौशल के रूप में उभरी है, जो जुड़ाव बढ़ाने, बहुमूल्य जानकारी देने और यहां तक ​​कि डिजिटल इंटरैक्शन का मुद्रीकरण करने का मार्ग प्रशस्त कर रही है। यह लेख Prompt Engineering की दुनिया पर गहराई से प्रकाश डालता है, इसके महत्व, सीखने के सुलभ…

[jcmarchi]

Mastering the Art of AI Prompts: 5 Techniques for Advanced Users

New Post has been published on https://thedigitalinsider.com/mastering-the-art-of-ai-prompts-5-techniques-for-advanced-users/

Mastering the Art of AI Prompts: 5 Techniques for Advanced Users

The use of large language models (LLMs) like ChatGPT is exploding across industries. Even scientists are leaning on AI to write or at least polish their work. A recent analysis of five million scientific studies published in 2023 found a rapid increase in certain words, such as meticulous, intricate, and commendable. The reason for this increase? The use of LLMs. 

AI’s impact is already massive, rapidly transforming the workplace. But we’re still at the early stages, trying to strike a balance between harnessing AI without leaning too much on it and compromising quality. At my company Jotform, we have incorporated AI tools to automate tedious tasks, or as I call it, “busywork,” and free up employees to focus on the meaningful work that only humans can do. I view AI tools like ChatGPT as valuable resources—low-cost, efficient AI assistants. But as anyone who’s used ChatGPT will tell you, it’s not 100% reliable or accurate. And it’s only as effective as the prompts you give it.

I recently asked ChatGPT how to develop your prompt engineering skills. The first response was: “Experimentation and Iteration: Continuously experiment with different types of prompts and refine them based on the AI’s outputs. Track what works and what doesn’t, and iteratively improve your prompts.” 

In other words, practice makes perfect. 

With this in mind, here are my top strategies for taking your prompt writing to the next level. 

Try meta-prompts

Communication is the lynchpin of a successful relationship. Understanding how people communicate and how to best communicate with them can help grow a stronger bond and overcome inevitable misunderstandings when there is a disconnect between words and intentions or emotions. In the same vein, your interactions with ChatGPT can vastly improve if you explicitly ask it how to best communicate with it. I regularly ask ChatGPT how to phrase prompts in order to get the information or feedback I’m seeking. The more information you give ChatGPT about the results you’re after, the better it can help you generate an effective prompt. 

Here’s a sample meta-prompt:

“How would you phrase a prompt to get detailed feedback on an article from ChatGPT? What information would you include to get the most relevant insight?”

In seconds, ChatGPT churned out a prompt template with a brief explanation of why it included each part of the prompt. This kind of insight helps you write better prompts in the future. 

Make it an ongoing dialogue

In most research tools, each query is isolated. You can’t build on a previous search to refine or dig deeper. ChatGPT has the advantage of enabling you to continue a thread, just like a dialogue between two people—a Socratic dialogue, if you will, where you are the teacher and ChatGPT is the student. I find this capability especially useful if I’m new to a subject and would like to begin with a basic level of understanding before diving into the nitty gritty.

To engage in dialogue with ChatGPT, start with a broad prompt and refine the subsequent prompts based on the responses. 

A sequence of prompts might look like this:

“In a few sentences, can you explain the mechanics of a tennis serve?”

“Why does the server shift their weight from the back foot to the front foot?”

“Can you briefly explain kinetic energy transfer?” 

This technique can help you to get more nuanced responses and explore areas and perspectives you might not have otherwise considered. 

Give ChatGPT a reference text

ChatGPT can be a bit of a smooth talker. Ask it about any subject under the sun and it will happily wax poetic for as long as you’d like. The rub: it’s not always accurate. That’s why providing ChatGPT a reference text can help ensure the replies you receive are grounded in reliable sources. 

As OpenAI explains, “In the same way that a sheet of notes can help a student do better on a test, providing reference text to these models can help in answering with fewer fabrications.” Feed ChatGPT the sources that you already know and trust and let the LLM extract the information you need. 

The prompt could be:

“Use the following article in quotes to answer questions.” 

ChatGPT: Sure, please go ahead and provide the articles you’d like me to use for answering your questions.

Then, provide ChatGPT with the article (title and publication will usually do the trick) and your questions. 

Assign ChatGPT a role

One of the most useful, and admittedly fun, capabilities of ChatGPT is to adopt different personas. You probably know the parable of the blind men and the elephant. Each man feels a different part of the elephant and describes the animal based on their limited perspective. As humans, we tend to assume our reality is correct even when it’s based on a limited point of view. Incorporating various perspectives empowers us to understand something more fully. 

By simply instructing ChatGPT to adopt a persona, we can get a new perspective.

Consider these two prompts and personas:

Prompt: Rewrite the following text from the perspective of a poet: A bridge over water connects two lands. 

ChatGPT:

Between shores, where rivers dance and whisper, A bridge, slender and resolute, spans the liquid silver, Uniting distant lands with an arch of promise, A testament to the yearning of hearts and soil.

Prompt: Rewrite the following text from the perspective of an engineer: A bridge over water connects two lands. 

ChatGPT

A bridge over water functions as a structural solution, effectively connecting two separate landmasses. It spans the gap with precision-engineered materials, ensuring stability and durability while facilitating transportation and communication between the two regions.

At Jotform, our marketing team might use this technique to examine an issue from the perspective of different buyer personas. It’s a simple technique with myriad use cases. 

Model the reply you want

While ChatGPT might not be the most reliable narrator, it is extremely logical. Rather than trying to describe the response you want, which can be surprisingly challenging, you can give ChatGPT an example and it will apply the same logic. 

Let’s say I’m working on a marketing campaign and want to use ChatGPT to come up with snappy, compelling copy. 

I could use the following prompt:

Prompt: “I will write words and I’d like you to come up with a corresponding adjective. For example, if I write ‘pretty,’ you might write “more beautiful than the stars in the sky.”

ChatGPT: 

Of course, I’m ready! Please provide the words you’d like me to transform.

Me: nervous

ChatGPT: Nervous as a leaf trembling in the gale of a tempest.

I might consider that on second thought, that’s not the tone I’m after. So I tweak the prompt. 

Prompt: I will write words and I’d like you to come up with a corresponding adjective. For example, if I write ‘pretty,’ you might write “cuter than the prize-winning pig at the Texas State Fair.”

ChatGPT: Got it! Please provide the words you’d like me to transform.

Me: nervous

ChatGPT: Nervous as a cat at a rocking chair convention.

In this case, I’d get an idea for my marketing copy—and a chuckle, at no extra charge.

[bhawaybhalla]

Prompt Engineering: The #1 Skill That Will Unlock Your AI Potential in 2024

Imagine having a superpower that allows you to converse with the most advanced AI systems on the planet, shaping their output to perfectly suit your needs. Welcome to the dynamic world of prompt engineering – the art and science of crafting the instructions that guide AI models to generate amazing text, translate languages, write different kinds of creative compositions, and much more. In this…

[harisystems]

What is Prompt Engineer - Prompt Engineer Courses by Open AI - AI - Chat...

[theeuniversesays]

Expert_Juwelier

2 days agoPrompt Engineering is the Alchemy of the Digital Age: turning words into actions, dreams into software. ?

✨ If coding was the job of yesterday, crafting the perfect prompt is tomorrow

#TechTrends #AIRevolution#TechInsights#promptengineering#chatgpt4

[patricia-taxxon]

the thing that upsets people about consumer grade AI art services is that it's filling in a part of the scale we haven't seen before. like on one end you have picrews, incredibox, patatap, and on the other you have clip studio paint and FL studio. the line between a participatory art piece and an art program is blurry, and AI (again, the consumer grade service) lies in a middle sector we haven't seen yet. more user agency than a picrew but far far less than even the most foolproof art tools. this is kinda why I struggle to feel threatened by AI art tools, cus any direction it could develop brings it closer to categories we know. Chatgpt's new engine is more railroaded and micromanaged than ever, unburdening the user with even needing to engineer their own prompts or understand the way the technology works, but the cost is that it works in a handful of new styles that are now instantly recognizable, like a famous picrew. it could grow to be more user-focused, giving you more agency and backend access to get the exact image you want, but of course giving the user more workload is a regression from what "AI" is supposed to be in its corporate brand, an opting out of authorship.

[vonbabbitt]

ok since people asked about the evil au. also please keep in mind this is a very 2000s/2010score au. its edgy and campy for fun

Isono Miki: Ultimate GFE Streamer

leans HARDCORE into GFE. constantly trying to manipulate money out of lonely people to fund a super bougie and comfortable lifestyle. snakesnake basically

Harada Keizou: Ultimate Butcher

butcher for the sole reason that he truly does enjoy chopping up and segmenting animals

just way over the top campy "haha i love killing and blood soooo much!!" 2010s deviantart creepypasta style

Chiba Airi: Ultimate Scammer

does exclusively ads for scummy faulty products and subscriptions and supplements so she can make mad bank

when we were discussing this in call we just kept saying "buy supplements" over and over and over again so thats the vibe

Kamimura Kazutoshi: Ultimate Cleanup Crew

its the same job but now he does it on the opposite side of the law

works directly in tandem with hasegawa, cleans up evidence and gets rid of bodies etc

personality wise....hes mostly the same LMAO

Hayashi Mai: Ultimate Hitman

doesnt ask questions. gets the job done

just in it for the thrill of the hunt. personality mostly the same but gets a bit feral edgy style when shes getting closer and closer to catching her target

Wada Masanari: Ultimate Con Artist

works with chiba and handles her phone lines

impersonates people's voices to give them the run-around when theyre trying to do something like cancel a subscription ("i wanna speak to the manager" "hi yes this is the manager now.")

buy supplements

Sasaki Hitomi: Ultimate Dictator

hey man gotta do something with those leadership skills

absolutely ruthless war criminal. this one is probably the most evil i think

Ojima Takeshi: Ultimate AI Artist

"nakamigawa i actually really like this design but i honestly think you could buff it up a lot with midjourney"

calls himself a "prompt engineer"

"wow cool drawing! i ran it through chatgpt to improve it a bit"

just a hardcore AI bro. thinks AI art is the absolute effing best and definitely real art

Okazaki Hanano: Ultimate Superhero

okay so shes not evil anymore

we thought it would be funny if in this evil AU shes just good now

still the rival of tsuno manami though

Hama Ran: Ultimate Occult Evangelist

just a straight up cultist

considers himself an "angel hunter", hunts down alleged "angels" and kills them in the name of his cult

tries to rope other people into his cult evangelism style

Tsuno Manami: Ultimate Supervillain

yeah pretty much what it says on the tin here

shes evil now

except shes actually good at it unlike okazaki

wants to take over the world or perhaps just blow it up maybe

Hiroaki Nakamigawa: Ultimate Model Coach

coaches young fashion models extremely harshly and pushes his fashion VERY hard

basically just yells at and insults these teenagers until they get eating disorders or quit forever

BRUTALLY mean

Tamba Ruiko: Ultimate Detective

except she absolutely fucking sucks at it

her detective-ing is an active detriment to everyone and actively sabotages crime scenes

she has no idea she sucks

Hasegawa Ken: Ultimate Information Broker

one smug motherfucker

works directly with kamimura in their little two man mafia

collects peoples information and uses it to blackmail them out of a massive amount of money and resources

Watari Nishino: Ultimate Demolitionist

we thought arson was way too basic

so now she blows stuff up with huge bombs

just for fun i guess. and can fun ever really be evil? certainly no way

Yanagi Shigeki: Ultimate Pick-up Artist

teaches those sigma male courses on how to pick up women

massive chauvinist

treats women like cattle and acts with the full intention of picking up as many of them as possible

[wispstalk]

"all I'll say" lol I'm full of shit y'all know I never shut up. I do actually want to talk about how I use chatGPT, I just don't wanna field tiresome arguments about souls and the inherent virtue of toil or whatever.

And no, I'm not using it to write for me. I'm with everyone on the "if no one cared enough to write it then I don't care to read it" thing. But if you understand its limitations and know how to prompt it, it really is an incredible tool for research.

Most recently I had it collate information so I could create history-based currency systems in the setting of Tamriel. With only books and search engines at my disposal, this might have taken me WEEKS. A keyword based search will bring up anything containing a phrase, e.g. "bullion currency," and those sources might not actually answer my questions.

Plus, when I ran into an economic concept I didn't understand, I could ask it to define the terms and then rephrase it if I wasn't grasping the definition.

And lastly I can make it provide sources. I use these for further reading (again saving hours of searching and avoiding dead ends) and also to verify the info it gives me. Yes, ChatGPT is sometimes wrong, but that was also always true of the shit you found on Google.

I did all this over the course of a day so I could find some historical grounds for Tanis doing stupid sleazy arbitrage schemes in Skyrim. I'm having fun! Chatgpt is fucking fun!! Just try it you won't go to hell because hell isn't real!!!!

[chipotle]

The robots have come for your em dashes

Did you know em dashes are a sign of AI writing? Since when? Well, that’s what all the LinkedIn influencers say! Humans don’t use them in writing, right? They use hyphens. Of course we use em dashes—they’re basic punctuation marks! We use em dashes as a pause for emphasis—like I did in the first sentence in this paragraph—or to set off a quasi-parenthetical phrase, like I just did in this sentence. A hyphen is used to form compound words, or to break words by syllable at the end of lines. They’re not the same. Nobody better tell the influencers about en dashes; they’ll spontaneously combust. So where’d this idea come from? You got me, but I’d guess it stems from the nature of AI-generated text. It always shows a certain level of polish: no spelling or grammatical mistakes, complete sentences, a clear organization and structure. LLMs get this right in their “first drafts” because the majority of text they were trained on is itself polished—and it turns out that this level of polish covers the correct use of em dashes. Is there a better way to detect AI-generated text than looking for em dashes, then, smart guy? All generative AI is, by literal definition, statistically median, and this isn’t something that can be overcome by creative prompt engineering. Flair and personality in human writing comes from individualistic, quirky choices born of a writer’s likes, dislikes, and life experiences. LLMs don’t have any of those. So LLM-generated text tends to read like pleasantly anodyne business memos, or book reports by a precocious ninth-grader. So if the text you’re playing “robot or not” with is a business memo, a high school paper, or a blog post by the kind of LinkedIn influencer who thinks em dashes are a sign of AI writing, it might be a challenge. In other circumstances, it shouldn’t be. But it apparently is! The problem—and, dear reader, there is no gentle way to put this—a lot of ostensibly smart people neither write particularly well, nor read enough to get a sense of what good writing is like. Most of the writing they deal with—memos, emails, text messages, Amazon and Yelp reviews—is slapdash, unpolished. So if they come across anything in those contexts that looks refined yet relatively generic, they suspect ChatGPT. Apparently, we’ve so come to expect a lack of writing style from humans—and I mean style in the sense of Strunk & White, not in the sense of actual style—that we’re suspicious of it when we see it. If you don’t want your writing to be mistaken for AI, what should you do? Use “fuck” more often. To support my writing, consider a tip on Ko-fi.com. (originally published at Coyote Tracks)

[dreamycircuit]

How AI is Changing Jobs: The Rise of Automation and How to Stay Ahead in 2025

AI and Jobs

Artificial Intelligence (AI) is everywhere. From self-checkout kiosks to AI-powered chatbots handling customer service, it’s changing the way businesses operate. While AI is making things faster and more efficient, it’s also making some jobs disappear. If you’re wondering how this affects you and what you can do about it, keep reading — because the future is already here.

The AI Boom: How It’s Reshaping the Workplace

AI is not just a buzzword anymore; it’s the backbone of modern business. Companies are using AI for automation, decision-making, and customer interactions. But what does that mean for jobs?

AI is Taking Over Repetitive Tasks

Gone are the days when data entry, basic accounting, and customer support relied solely on humans. AI tools like ChatGPT, Jasper, and Midjourney are doing tasks that once required an entire team. This means fewer jobs in these sectors, but also new opportunities elsewhere.

Companies are Hiring Fewer People

With AI handling routine work, businesses don’t need as many employees as before. Hiring freezes, downsizing, and increased automation are making it tougher to land a new job.

AI-Related Jobs are on the Rise

On the flip side, there’s massive demand for AI engineers, data scientists, and automation specialists. Companies need people who can build, maintain, and optimize AI tools.

Trending AI Skills Employers Want:

Machine Learning & Deep Learning

Prompt Engineering

AI-Powered Marketing & SEO

AI in Cybersecurity

Data Science & Analytics

Click Here to Know more

The Decline of Traditional Job Offers

AI is shaking up industries, and some job roles are disappearing faster than expected. Here’s why new job offers are on the decline:

AI-Driven Cost Cutting

Businesses are using AI to reduce operational costs. Instead of hiring new employees, they’re investing in AI-powered solutions that automate tasks at a fraction of the cost.

The Gig Economy is Replacing Full-Time Jobs

Instead of hiring full-time staff, companies are outsourcing work to freelancers and gig workers. This means fewer stable job opportunities but more chances for independent workers.

Economic Uncertainty

The global economy is unpredictable, and businesses are cautious about hiring. With AI improving efficiency, companies are choosing to scale down their workforce.

Click Here to Know more

Preparing for an AI-Driven Future

Feeling worried? Don’t be. AI isn’t just taking jobs — it’s also creating new ones. The key is to stay ahead by learning the right skills and adapting to the changing landscape.

1. Learn AI and Data Analytics

The best way to future-proof your career is to understand AI. Free courses on platforms like Coursera, Udemy, and Khan Academy can get you started.

2. Develop Soft Skills AI Can’t Replace

AI is great at automation, but it lacks emotional intelligence, creativity, and critical thinking. Strengthening these skills can give you an edge.

3. Embrace Remote & Freelance Work

With traditional jobs shrinking, freelancing is a great way to stay flexible. Sites like Upwork, Fiverr, and Toptal have booming demand for AI-related skills.

4. Use AI to Your Advantage

Instead of fearing AI, learn how to use it. AI-powered tools like ChatGPT, Jasper, and Canva can help boost productivity and creativity.

5. Never Stop Learning

Technology evolves fast. Stay updated with new AI trends, attend webinars, and keep improving your skills.

Click Here to Know more

Final Thoughts

AI is here to stay, and it’s changing the job market rapidly. While some traditional roles are disappearing, new opportunities are emerging. The key to surviving (and thriving) in this AI-driven world is adaptability. Keep learning, stay flexible, and embrace AI as a tool — not a threat.

Click Here to Know more

Share this blog if you found it helpful! Let’s spread awareness and help people prepare for the AI revolution.

[blackjackkent]

Here is the thing that bothers me, as someone who works in tech, about the whole ChatGPT explosion.

The thing that bothers me is that ChatGPT, from a purely abstract point of view, is really fucking cool.

Some of the things it can produce are fucking wild to me; it blows my mind that a piece of technology is able to produce such detailed, varied responses that on the whole fit the prompts they are given. It blows my mind that it has come so far so fast. It is, on an abstract level, SO FUCKING COOL that a computer can make the advanced leaps of logic (because that's all it is, very complex programmed logic, not intelligence in any human sense) required to produce output "in the style of Jane Austen" or "about the care and feeding of prawns" or "in the form of a limerick" or whatever the hell else people dream up for it to do. And fast, too! It's incredible on a technical level, and if it existed in a vacuum I would be so excited to watch it unfold and tinker with it all damn day.

The problem, as it so often is, is that cool stuff does not exist in a vacuum. In this case, it is a computer that (despite the moniker of "artificial intelligence") has no emotional awareness or ethical reasoning capabilities, being used by the whole great tide of humanity, a force that is notoriously complex, notoriously flawed, and more so in bulk.

-----

During my first experiment with a proper ChatGPT interface, I asked it (because I am currently obsessed with GW2) if it could explain HAM tanking to me in an instructional manner. It wrote me a long explanatory chunk of text, explaining that HAM stood for "Heavy Armor Masteries" and telling me how I should go about training and preparing a character with them. It was a very authoritative sounding discussion, with lots of bullet points and even an occasional wiki link Iirc.

The problem of course ("of course", although the GW2 folks who follow me have already spotted it) is that the whole explanation was nonsense. HAM in GW2 player parlance stands for "Heal Alacrity Mechanist". As near as I've been able to discover, "Heavy Armor Masteries" aren't even a thing, in GW2 or anywhere else - although both "Heavy Armor" and "Masteries" are independent concepts in the game.

Fundamentally, I thought, this is VERY bad. People have started relying on ChatGPT for answers to their questions. People are susceptible to authoritative-sounding answers like this. People under the right circumstances would have no reason not to take this as truth when it is not.

But at the same time... how wild, how cool, is it that, given the prompt "HAM tanking" and having no idea what it was except that it involves GW2, the parser was able to formulate a plausible-sounding acronym expansion out of whole cloth? That's extraordinary! If you don't think that's the tightest shit, get out of my face.

----

The problem, I think, is ultimately twofold: capitalism and phrasing.

The phrasing part is simple. Why do we call this "artificial intelligence"? It's a misnomer - there is no intelligence behind the results from ChatGPT. It is ultimately a VERY advanced and complicated search engine, using a vast quantity of source data to calculate an output from an input. Referring to that as "intelligence" gives it credit for an agency, an ability to judge whether its output is appropriate, that it simply does not possess. And given how quickly people are coming to rely on it as a source of truth, that's... irresponsible at best.

The capitalism part...

You hear further stories of the abuses of ChatGPT every day. People, human people with creative minds and things to say and contribute, being squeezed out of roles in favor of a ChatGPT implementation that can sufficiently ("sufficiently" by corporate standards) imitate soul without possessing it. This is not acceptible; the promise of technology is to facilitate the capabilities and happiness of humanity, not to replace it. Companies see the ability to expand their profit margins at the expense of the quality of their output and the humanity of it. They absorb and regurgitate in lesser form the existing work of creators who often didn't consent to contribute to such a system anyway.

Consequently, the more I hear about AI lately, the more hopeful I am that the thing does go bankrupt and collapse, that the ruling goes through where they have to obliterate their data stores and start over from scratch. I think "AI" as a concept needs to be taken away from us until we are responsible enough to use it.

But goddamn. I would love to live in a world where we could just marvel at it, at the things it is able to do *well* and the elegant beauty even of its mistakes.

[techit-rp]

The Rise of AI Investment Bankers: Is Your Finance Career Future-Proof?

In the high-stakes world of investment banking, where deals are made in boardrooms and valuations change in milliseconds, a new player has entered the game—Artificial Intelligence. And it's not just another tool. It's transforming the very foundation of how deals are sourced, structured, and sold.

So, the big question is: Are you ready for an AI-powered future in finance?

If not, Online Certification Courses for Financial Analytics might just be the bridge you need.

From Suits to Servers: How AI is Changing the Game

For decades, investment banking has been driven by human insight, analytical grit, and long hours spent creating pitch decks and financial models. But today, AI tools are doing in minutes what used to take analysts days. Whether it’s building DCF models, conducting industry research, or generating deal summaries, machine learning and generative AI are speeding up operations and redefining what it means to be a banker.

Some major developments include:

Moelis & Company adopting AI assistants for pitchbook generation.

Nomura using AI to recommend trade ideas and automate risk assessments.

Tiger Global integrating AI into deal sourcing and market intelligence.

JPMorgan’s COiN (Contract Intelligence) analyzing complex legal documents in seconds.

AI isn't coming. It's already here—and thriving.

Why Should You Care?

If you’re an aspiring financial analyst or investment banker, AI changes the game in three big ways:

Efficiency is the New Currency: Analysts are now expected to do more in less time. AI helps, but you’ll need to know how to guide it.

Skillsets Are Evolving: Excel is still key—but now you also need to understand Python, SQL, and maybe even prompt engineering for AI tools like ChatGPT or Rogo.

Certification Is No Longer Optional: Recruiters want proof that you’re AI- and data-savvy. That’s where Online Certification Courses for Financial Analytics come in.

Online Certification Courses for Financial Analytics: Your Launchpad Into the Future

In an AI-first finance world, standing out means staying ahead. Top-rated Online Certification Courses for Financial Analytics offer you:

Hands-on training with AI and analytics tools like Tableau, Power BI, and Python.

Modules on machine learning for finance, risk modeling, and big data applications.

Real-world case studies from investment banking, fintech, and equity research domains.

Placement assistance and resume building for high-impact finance careers.

Whether you’re a recent B.Com graduate or a working professional, these online programs give you flexible, industry-driven education that’s tailored to the future of finance.

“AI won’t replace bankers, but bankers using AI will replace those who don’t.” – A new-age finance maxim

How AI is Reshaping Analyst Roles

Let’s take a typical analyst job. Five years ago, it meant:

Sourcing data from Bloomberg.

Creating valuation models from scratch.

Preparing pitchbooks late into the night.

Today?

Data comes from AI—scraped, sorted, and summarized.

Valuation models are auto-built, and analysts just review assumptions.

Pitchbooks are auto-generated, with visuals ready to go.

The analyst's job has moved from "doer" to "strategic reviewer." That requires financial knowledge + data fluency.

Success Story: How Online Learning Changed the Game

Take Arjun, a mechanical engineering graduate from Pune. After completing an Online Certification Course in Financial Analytics, he landed a role at a mid-tier investment bank in Mumbai—not as a traditional analyst, but as a Financial Data Strategist.

His job? Use AI tools to find undervalued assets, build predictive models, and support M&A decisions. A job that didn’t exist five years ago.

Conclusion: The Future is Hybrid—So Should You Be

Investment banking is not dying. It’s evolving. The future belongs to professionals who understand both finance fundamentals and data-driven tools.

Whether you want to work in M&A, private equity, or financial strategy, investing in Online Certification Courses for Financial Analytics is a smart bet.

It’s not just about keeping up with AI—it’s about working with it.

[callofdutymobileindia]

How to Choose the Right Generative AI Course? Key Factors to Consider

In today’s rapidly evolving tech landscape, Generative AI is transforming industries—from art and marketing to finance and healthcare. Tools like ChatGPT, Midjourney, DALL·E, and Runway ML are reshaping how we generate content, design products, and solve problems. As demand for AI skills skyrockets, enrolling in a Generative AI course can be a smart move for professionals and beginners alike.

But with countless programs available—online and offline—it’s essential to know how to choose the right course that matches your goals, learning style, and future career prospects. In this guide, we’ll walk you through the key factors to consider when selecting a Generative AI course so you can make an informed decision.

1. Understand What a Generative AI Course Offers

Before choosing a program, understand what a Generative AI course typically includes. These courses are designed to teach:

Foundations of AI and Machine Learning

Deep Learning models (especially GANs and transformer-based models)

Text, image, audio, and video generation tools

Prompt engineering techniques

Real-world projects using tools like ChatGPT, DALL·E, Midjourney, Runway, etc.

The best courses blend theory with hands-on experience, ensuring you not only learn the concepts but also know how to apply them effectively.

2. Define Your Learning Goals

The right Generative AI course depends largely on your personal or professional goals. Ask yourself:

Are you a beginner looking to explore the field?

Are you a developer or data scientist aiming to upskill?

Are you in marketing, design, or content creation and want to leverage AI tools?

Are you planning to build AI-powered products or startups?

Clearly defining your goal will help you choose a course that focuses on either the technical aspects (e.g., coding, model training) or practical applications (e.g., content generation, automation).

3. Check the Course Curriculum in Detail

Not all Generative AI courses are created equal. A high-quality curriculum should include the following:

Core Modules:

Introduction to Generative AI

Basics of Machine Learning & Deep Learning

Generative Adversarial Networks (GANs)

Transformers and Large Language Models (LLMs)

Ethics and Responsible AI

Tool-Based Training:

ChatGPT and Prompt Engineering

DALL·E and Text-to-Image generation

Midjourney or Stable Diffusion

Runway ML and video generation tools

Hands-On Projects:

AI Art Generation

AI Text Summarization & Copywriting

AI Music or Video Creation

Custom Chatbot or Application Building

Tip: Prefer a course that includes project-based learning, as this improves retention and builds a portfolio you can showcase to potential employers.

4. Assess the Instructor’s Expertise

An excellent instructor can make complex concepts easier to grasp. Look for courses taught by industry practitioners, AI researchers, or certified educators with:

Real-world AI experience

Published work or thought leadership in Generative AI

Teaching credentials or testimonials from past students

Check their LinkedIn profile, GitHub contributions, or YouTube tutorials to verify their authority in the field.

5. Evaluate Course Format: Self-Paced vs Instructor-Led

Depending on your schedule and learning preference, choose between:

Self-Paced Courses:

Learn anytime, at your own speed

Usually more affordable

Ideal for working professionals

Instructor-Led Courses:

Scheduled live classes with Q&A sessions

Often includes peer discussions, mentorship, and evaluations

Better for structured learners or beginners

Some hybrid programs offer recorded content + live doubt-clearing sessions, giving you the best of both worlds.

6. Look for Industry Recognition or Certification

A Generative AI course certification from a reputed institute adds value to your resume and LinkedIn profile. Recognized names like Boston Institute of Analytics, Coursera, edX, or Google-backed programs often carry more weight in hiring processes.

Ensure the certificate:

Is verifiable

Comes from a credible institution

Demonstrates skills employers are currently seeking

7. Read Student Reviews and Alumni Success Stories

Before enrolling, check testimonials, Google reviews, or Reddit discussions about the course. Look for answers to:

Did students find the content useful and up-to-date?

Did it help them apply skills in real-world projects or jobs?

Are alumni now working in AI, marketing, or tech fields?

Alumni case studies or LinkedIn mentions can give you real-world proof of course outcomes.

8. Check for Career Support and Job Placement Assistance

If you're taking a Generative AI course to switch careers or land a new role, see whether the course offers:

Resume building and LinkedIn optimization

Portfolio development (via hands-on projects)

Interview preparation

Placement opportunities or industry connections

Institutes like Boston Institute of Analytics often provide placement guidance and mentorship, which can significantly ease your transition into the AI industry.

9. Consider the Cost and ROI

Prices for Generative AI courses can range from ₹5,000 to ₹1,50,000+ depending on the platform, format, and institute. Ask yourself:

Is the curriculum comprehensive for the price?

Do you get lifetime access to materials?

Are there discounts, EMI options, or scholarships?

Sometimes, paying a bit more for a course with mentorship + certification + career support can deliver far greater value and return on investment (ROI) than a free YouTube playlist.

10. Ensure You Get Hands-on with Generative AI Tools

One of the biggest mistakes learners make is choosing a theoretical course. Generative AI is a practical field—you must work with:

ChatGPT: for chatbots, content generation, customer support

DALL·E & Midjourney: for marketing visuals, branding, and product design

Runway ML: for video editing and synthetic media

Custom APIs & Code: to integrate Generative AI into apps or websites

Look for a course that gives tool access, sandbox environments, or downloadable code notebooks for experimentation.

11. Stay Updated: Is the Course Aligned with 2025 Trends?

Generative AI is evolving fast. Courses designed even two years ago may now be outdated. Make sure your chosen course includes:

Latest LLMs like GPT-4.5, Claude 3, or Gemini

Updated best practices in prompt engineering

Emerging use-cases like Agentic AI, multimodal AI, or enterprise applications

Also, ensure your course provides updates or free future modules to stay current.

12. Bonus: Community Access and Networking

A strong peer and mentor community helps in:

Sharing prompts, tools, and techniques

Collaborating on real-world AI projects

Getting feedback on your work

Finding freelance gigs or job referrals

Courses that offer Slack groups, Discord servers, or alumni communities provide immense long-term value.

Final Thoughts

Choosing the right Generative AI course is more than just clicking “Enroll.” It’s about identifying a program that aligns with your goals, learning style, and career path. Whether you're a content creator, designer, engineer, or entrepreneur, investing in the right course can unlock tremendous opportunities in this fast-growing field.

Look for a course with practical projects, expert guidance, tool mastery, and career support. If you're seeking a future-ready program that covers all these aspects, the Boston Institute of Analytics offers one of the most comprehensive and industry-relevant Generative AI certification courses available today. With expert faculty, hands-on training, and placement support, it could be your ideal launchpad into the world of AI innovation.

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Dickie Bush & Nicolas Cole – Create And Launch A Digital Course In 30 Days + Upsell

Dickie Bush & Nicolas Cole – Create And Launch A Digital Course In 30 Days + Upsell (50 Prompts To Build Your Sales Page, Outline & Write Your Course, Warm Up Your List, Launch Your Offer, And Follow Up Post Launch) Here’s How It Works: The Write The Course Prompt Library is an asynchronous system taken at your own pace – but designed to be completed over a 30-day period. All of the prompts are plug-and-play and work with your specific expertise as input. Here’s the simple 3-step process: Follow the 30-day roadmap. Each day has specific tasks and prompts to move you closer to launch – but you can work through it at whatever pace fits your schedule. Plug in your expertise. Every prompt is designed to work with YOUR knowledge, YOUR audience, and YOUR unique perspective as the input. Let AI handle the heavy lifting. Copy, paste, and customize our proven prompts in ChatGPT, Claude, or your AI writer of choice to create your course content, sales pages, and marketing materials. By the end of 30 days, you’ll have a complete course ready to launch and start generating income. What You’ll Learn In Create And Launch A Digital Course In 30 Days + Upsell 1) Topic & Research Acceleration Prompts Most course creators fail because they build something nobody wants. These prompts help you identify profitable topics and validate demand before you waste time creating. Inside this section, you’ll find: Our FFGA framework prompts that mine your existing analytics to reveal what your audience actually wants Competitor research templates that systematically identify market gaps and opportunities AI brainstorming prompts that generate multiple profitable course ideas based on your specific expertise The result? You’ll know exactly what your audience wants and will pay for instead of guessing and hoping. 2) Course Offer Blueprint Prompts Even great course ideas fail without the right positioning. These prompts help you to transform your idea into an irresistible offer with clear value and strategic pricing. You get: Complete offer stack development prompts that combine features, benefits, bonuses and strategic pricing Positioning frameworks that make you stand out from competitors and become the obvious choice Course naming templates and offer scripts that turn curious browsers into eager buyers With this set of prompts you’ll create offers so compelling that price becomes secondary to value. 3) Course Co-Writer Prompts This is where your course comes to life. This section includes: Course and module introduction templates that hook students from the very first lesson 5 different lesson formats (step-by-step, limiting beliefs, mistakes, listicles, universal) so you never run out of ways to teach Content supplement prompts for templates, resources, case studies and examples that reinforce learning Instead of staring at the blank pages wondering what to write, you’ll have prompts that guide you through every piece of content. 4) Sales & Marketing Engine Prompts The best course in the world won’t sell itself. So, in this section we give you the complete marketing system to turn interested prospects into paying customers. This includes: Complete sales page templates using our proven conversion framework that’s generated millions in sales Email sequence templates including 5-day validation, 9-day launch, and 5-day nurture campaigns Social media promotion prompts and upsell templates that maximize revenue per customer Most creators just “put it out there” and hope people buy. This helps you do better than that. More courses from the same author: Dickie Bush & Nicolas Cole