#Best Generative AI Course Online

[callofdutymobileindia]

What Will You Learn in a Generative Artificial Intelligence Course?

In recent years, Generative Artificial Intelligence (AI) has taken the tech world by storm. From creating stunning artwork and composing music to generating realistic images, writing human-like text, and even building code, Generative AI has proven to be one of the most groundbreaking innovations in modern computing.

As demand for AI skills surges, more professionals and students are turning to Generative Artificial Intelligence Courses to gain hands-on expertise. But what exactly can you expect to learn in one of these programs? In this comprehensive guide, we’ll walk you through the core concepts, tools, skills, and applications covered in a typical Generative Artificial Intelligence Course—so you can decide if it’s the right path for your career.

What Is a Generative Artificial Intelligence Course?

A Generative Artificial Intelligence Course is a specialized training program designed to teach students how machines can create new data—such as images, videos, audio, or text—based on patterns learned from existing datasets. This field relies heavily on deep learning architectures, including Generative Adversarial Networks (GANs) and Transformer-based models like GPT (Generative Pre-trained Transformer).

Whether offered online or offline, these courses aim to equip learners with both theoretical knowledge and practical skills using real-world tools like ChatGPT, Midjourney, DALL·E, Runway ML, and more.

Core Topics You Will Learn in a Generative Artificial Intelligence Course

1. Foundations of Artificial Intelligence and Machine Learning

Most Generative AI courses begin with an overview of AI, machine learning (ML), and deep learning concepts to ensure that students have the right foundation.

You’ll learn:

The differences between AI, ML, and deep learning

Supervised vs unsupervised learning

Neural networks and activation functions

Key ML algorithms and their use cases

These basics are essential before diving into advanced generative models.

2. Introduction to Generative Models

This is where the course starts to specialize in generative techniques. You’ll explore:

What generative models are

How they differ from discriminative models

Types of generative models: GANs, VAEs (Variational Autoencoders), Flow-based models

Use cases in image generation, content creation, and design

By understanding how machines generate data, you’ll grasp the true power of this technology.

3. Generative Adversarial Networks (GANs)

GANs are at the core of many Generative AI innovations. In a Generative Artificial Intelligence Course, you will study:

The architecture of GANs: Generator vs Discriminator

How adversarial training works

Common challenges in training GANs (like mode collapse)

Practical applications: AI-generated art, deepfakes, and synthetic data

You’ll also work on GAN-based projects that involve training your own models using Python and deep learning libraries such as TensorFlow or PyTorch.

4. Transformer Models and Large Language Models (LLMs)

Modern Generative AI wouldn't be possible without transformer-based models. This module covers:

The architecture of transformers

Understanding attention mechanisms

Pre-training and fine-tuning of LLMs

How GPT (like ChatGPT), BERT, and T5 work

You’ll also learn about text generation, summarization, translation, and prompt engineering using models like GPT-3, GPT-4, and Claude.

5. Hands-On with ChatGPT and Prompt Engineering

Prompt engineering is a critical skill in working with language-based AI systems. You'll learn:

How to craft effective prompts

Techniques for zero-shot and few-shot learning

Multi-turn prompt workflows for custom applications

Building tools and chatbots with ChatGPT

Courses often include exercises that involve designing AI-powered writing assistants, content generators, or helpdesk bots.

6. Image and Art Generation with DALL·E, Midjourney, and Stable Diffusion

Visual creativity is one of the most exciting applications of Generative AI. In this section, you’ll explore:

How text-to-image models work

Image generation using DALL·E 2 and 3

Style control, composition, and quality tuning

Using Midjourney for creative and commercial visual tasks

Basics of Stable Diffusion and control over output fidelity

Many courses include mini-projects where you generate art, product mockups, or marketing visuals using AI tools.

7. Video, Audio, and Multimodal Generation

Advanced Generative Artificial Intelligence Courses cover cross-domain or multimodal AI, including:

Video generation with Runway ML

AI-generated music and voice using tools like Jukebox or ElevenLabs

Text-to-video pipelines

Ethical considerations in synthetic media

These modules prepare you for careers in advertising, media, content creation, and digital entertainment.

8. Programming and Tools Integration

Hands-on practice is crucial. You'll get familiar with:

Python programming (basic to intermediate)

Libraries: PyTorch, TensorFlow, Hugging Face Transformers, OpenAI APIs

Deployment: Streamlit, Flask, or Gradio for building interfaces

GitHub for version control and collaboration

This technical component helps you transition from just using tools to building your own AI-powered applications.

9. Real-World Projects and Case Studies

Most top-rated Generative Artificial Intelligence Courses emphasize project-based learning. You’ll build:

AI writing tools

AI logo and banner designers

Virtual assistants

Product mockup generators

AI video explainers for businesses

These projects become part of your professional portfolio and can help you land internships or job interviews.

10. Ethical Use and Limitations of Generative AI

Responsible AI usage is critical. You’ll study:

Deepfake detection and ethical implications

Bias in training data and model outputs

Legal rights over AI-generated content

Privacy and consent in generative media

Understanding these issues prepares you to use AI ethically and legally in professional environments.

11. Career Guidance and Certification

Finally, most career-oriented courses also offer:

Resume-building workshops for AI roles

LinkedIn profile optimization

Mock interviews and hiring partner access

Globally recognized certificates

Institutes like the Boston Institute of Analytics offer career services as part of their Generative Artificial Intelligence Course, making it easier for students to transition into the workforce.

Benefits of Taking a Generative Artificial Intelligence Course

Stay ahead in the fast-growing AI job market

Automate repetitive tasks and enhance productivity

Build creative projects without needing advanced design skills

Launch AI-powered tools, services, or startups

Develop a future-ready resume and skill set

Final Thoughts

A Generative Artificial Intelligence Course is more than just a tech class—it’s your entry into one of the most transformative technologies of our time. From mastering tools like ChatGPT and Midjourney to building your own generative applications, these courses empower you to become a creator, not just a consumer, of AI.

Whether you’re just starting out or looking to upgrade your skills, choosing the right course can make all the difference. If you're searching for a structured, hands-on, and industry-recognized learning experience, the Boston Institute of Analytics offers a leading-edge Generative Artificial Intelligence Course that blends real-world projects with expert mentorship and career support.

[dreamingofnextseason]

Just a PSA

I appreciate y’all pointing out when photos I’ve posted are AI generated 🙏

I’m not a fan of them, but I haven’t fine tuned my eyes to notice every possible discrepancy of not real life/AI generated pictures.

[caelum-in-the-avatarverse]

Fandom can do a little gatekeeping. As a treat.

So I finally decided to archive-lock my fics on AO3 last night. I’ve been considering it since the AI scrape last year, but the tipping point was this whole lore.fm debacle, coupled with some thoughts I’ve been thinking regarding Fandom These Days in general and Fandom As A Community in particular. So I wanna explain why I waited so long, why I locked my stuff up now, and why I’ve come to the conclusion that I’m a-okay with making it harder for people to see my stories.

Lurkers really are great, tho

I’m a chronic lurker, and have been since I started hanging out on the internet as a teen in the 00s. These days it’s just cuz I don’t feel a need to socialize very often, but back then it was because I was shy and knew I was socially awkward. Even if I made an account, I’d spend months lurking on message boards or forums or Livejournals, watching other people interact and getting a feel for that particular community’s culture and etiquette before I finally started interacting myself. And y’know, that approach saved me a lot of embarrassment. Over the course of my lurking on any site, there was always some other person who’d clearly joined up five minutes after learning the place existed, barged in without a care for their behavior, and committed so many social faux pas that all the other users were immediately annoyed with them at best. I learned a lot observing those incidents. Lurk More is Rule 33 of the internet for very good reason.

Lurking isn’t bad or weird or creepy. It’s perfectly normal. I love lurking. It’s hard for me to not lurk - socializing takes a lot of energy out of me, even via text. (Heck it took 12 hours for me to write this post, I wish I was kidding--) Occasionally I’ll manage longer bouts of interaction - a few weeks posting here, almost a year chatting in a discord there - but I’m always gonna end up going radio silent for months at some point. I used to feel bad about it, but I’ve long since made peace with the fact that it’s just the way my brain works. I’m a chronic lurker, and in the long term nothing is going to change that.

The thing with being a chronic lurker is that you have to accept that you are not actually seen as part of the community you are lurking in. That’s not to say that lurkers are unimportant - lurkers actually are important, and they make up a large proportion of any online community - but it’s simple cause and effect. You may think of it as “your community”, but if you’ve never said a word, how is the community supposed to know you exist? If I lurked on someone’s LJ, and then that person suddenly friendslocked their blog, I knew that I had two choices: Either accept that I would never be able to read their posts again, or reach out to them and ask if I could be added to their friends list with the full understanding that I was a rando they might not decide to trust. I usually went with the first option, because my invisibility as a lurker was more important to me than talking to strangers on the internet.

Lurking is like sitting on a park bench, quietly people-watching and eavesdropping on the conversations other people are having around you. You’re in the park, but you’re not actively participating in anything happening there. You can see and hear things that you become very interested in! But if you don’t introduce yourself and become part of the conversation, you won’t be able to keep listening to it when those people walk away. When fandom migrated away from Livejournal, people moved to new platforms alongside their friends, but lurkers were often left behind. No one knew they existed, so they weren’t told where everyone else was going. To be seen as part of a fandom community, you need to submit to the mortifying ordeal of being known, etc. etc.

There’s nothing wrong with lurking. There can actually be benefits to lurking, both for the lurkers and the communities they lurk in. It’s just another way to be in a fandom. But if that is how you exist in fandom--and remember, I say this as someone who often does exist that way in fandom--you need to remember that you’re on the outside looking in, and the curtains can always close.

I’ve always been super sympathetic to lurkers, because I am one. I know there’s a lot of people like me who just don’t socialize often. I know there’s plenty of reasons why someone might not make an account on the internet - maybe they’re nervous, maybe they’re young and their parents don’t allow them to, maybe they’re in a bad situation where someone is monitoring their activity, maybe they can only access the internet from public computer terminals. Heck, I’ve never even logged into AO3 on my phone--if I’m away from my computer I just read what’s publicly available. 

I know I have people lurking on my fics. I know my fics probably mean a lot to someone I don’t even know exists. I know this because there are plenty of fics I love whose writers don’t know I exist.

I love my commenters personally; I love my lurkers as an abstract concept. I know they’re there and I wish them well, and if they ever de-lurk I love them all the more.

So up until last year I never considered archive-locking my fic, because I get it. The AI scraping was upsetting, but I still hesitated because I was thinking of lurkers and guests and remembering what it felt like to be 15 and wondering if it’d be worth letting a stranger on the internet know I existed and asking to be added to their friends list just so I could reread a funny post they made once.

But the internet has changed a lot since the 00s, and fandom has changed with it. I’ve read some things and been doing some thinking about fandom-as-community over the last few years, and reading through the lore.fm drama made me decide that it’s time for me to set some boundaries.

I still love my lurkers, and I feel bad about leaving any guest commenters behind, especially if they’re in a situation where they can’t make an account for some reason. But from here on out, even my lurkers are going to have to do the bare minimum to read my fics--make an AO3 account.

Should we gatekeep fandom?

I’ve seen a few people ask this question, usually rhetorically, sometimes as a joke, always with a bit of seriousness. And I think…yeah, maybe we should. Except wait, no, not like that--

A decade ago, when people talked about fandom gatekeeping and why it was bad to do, it intersected with a lot of other things, mainly feminism and classism. The prevalent image of fandom gatekeeping was, like, a man learning that a woman likes Star Wars and haughtily demanding, “Oh, yeah? Well if you’re REALLY a fan, name ten EU novels” to belittle and dismiss her, expecting that a “real fan” would have the money and time to be familiar with the EU, and ignoring the fact that male movie-only fans were still considered fans. The thing being gatekept was the very definition of “being a fan” and people’s right to describe themselves as one.

That’s not what I mean when I say maybe fandom should gatekeep more. Anyone can call themselves a fan if they like something, that’s fine. But when it comes to the ability to enjoy the fanworks produced by the fandom community…that might be something worth gatekeeping.

See, back in the 00s, it was perfectly common for people to just…not go on the internet. Surfing the web was a thing, but it was just, like, a fun pastime. Not everyone did it. It wasn’t until the rise of social media that going online became a thing everyone and their grandmother did every day. Back then, going on the internet was just…a hobby.

So one of the first gates online fandom ever had was the simple fact that the entire world wasn’t here yet.

The entire world is here now. That gate has been demolished.

And it’s a lot easier to find us now. Even scattered across platforms, fandom is so centralized these days. It isn’t a network of dedicated webshrines and forums that you can only find via webrings anymore, it’s right there on all the big social media sites. AO3 didn’t set out to be the main fanfic website, but that’s definitely what it’s become. It’s easy for people to find us--and that includes people who don’t care about the community, and just want “content.”

Transformative fandom doesn’t like it when people see our fanworks as “content”. “Content” is a pretty broad term, but when fandom uses it we’re usually referring to creative works that are churned out by content creators to be consumed by an audience as quickly as possible as often as possible so that the content creator can generate revenue. This not-so-new normal has caused a massive shift in how people who are new to fandom view fanworks--instead of seeing fic or art as something a fellow fan made and shared with you, they see fanworks as products to be consumed.

Transformative fandom has, in general, always been a gift economy. We put time and effort into creating fanworks that we share with our fellow fans for free. We do this so we don’t get sued, but fandom as a whole actually gets a lot out of the gift economy. Offer your community a story, and in return you can get comments, build friendships, or inspire other people to write things that you might want to read. Readers are given the gift of free stories to read and enjoy, and while lurking is fine, they have the choice to engage with the writer and other readers by leaving comments or making reclists to help build the community.

And look, don’t get me wrong. People have never engaged with fanfic as much as fan writers wish they would. There has always been “no one comments anymore” wank. There have always been people who only comment to say “MORE!” or otherwise demand or guilt trip writers into posting the next chapter. But fandom has always agreed that those commenters are rude and annoying, and as those commenters navigate fandom they have the chance to learn proper community etiquette.

However, now it seems that a lot of the people who are consuming fanworks aren’t actually in the community. 

I won’t say “they aren’t real fans” because that’s silly; there’s lots of ways to be a fan. But there seem to be a lot of fans now who have no interest in fandom as a community, or in adhering to community etiquette, or in respecting the gift economy. They consume our fics, but they don’t appreciate fan labor. They want our “content”, but they don’t respect our control over our creations.

And even worse--they see us as a resource. We share our work for free, as a gift, but all they see is an open-source content farm waiting to be tapped into. We shared it for free, so clearly they can do whatever they want with it. Why should we care if they feed our work into AI training datasets, or copy/paste our unfinished stories into ChatGPT to get an ending, or charge people for an unnecessary third-party AO3 app, or sell fanbindings on etsy for a profit without the author’s permission, or turn our stories into poor imitations of podfics to be posted on other platforms without giving us credit or asking our consent, while also using it to lure in people they can datascrape for their Forbes 30 Under 30 company? 

And sure, people have been doing shady things with other people’s fanworks since forever. Art theft and reposting has always been a big problem. Fanfic is harder to flat-out repost, but I’ve heard of unauthorized fic translations getting posted without crediting the original author. Once in…I think the 2010s? I read a post by a woman who had gone to some sort of local bookselling event, only to find that the man selling “his” novel had actually self-published her fanfic. (Wish I could find that one again, I don’t even remember where I read it.)

But aside from that third example, the thing is…as awful as fanart/writing theft is, back in the day, the main thing a thief would gain from it was clout. Clout that should rightfully go to the creators who gifted their work in the first place, yeah, but still. Just clout. People will do a lot of hurtful things for clout, but fandom clout means nothing outside of fandom. Fandom clout is not enough to incentivize the sort of wide-scale pillaging we’re seeing from community outsiders today.

Money, on the other hand… Well, fandom’s just a giant, untapped content farm, isn’t it? Think of how much revenue all that content could generate.

Lurkers are a normal and even beneficial part of any online community. Maybe one day they’ll de-lurk and easily slide into place beside their fellow fans because they already know the etiquette. Maybe they’re active in another community, and they can spread information from the community they lurk in to the community they’re active in. At the very least, they silently observe, and even if they’re not active community members, they understand the community.

Fans who see fanworks as “content” don’t belong in the same category as lurkers. They’re tourists. 

While reading through the initial Reddit thread on the lore.fm situation, I found this comment:

[ID: Reddit User Cabbitowo says: ... So in anime fandoms we have a word called tourist and essentially it means a fan of a few anime and doesn't care about anime tropes and actively criticizes them. This is kind of how fandoms on tiktok feel. They're touring fanfics and fanart and actively criticizes tropes that have been in the fandom since the 60s. They want to be in a fandom but they don't want to engage in fandom 

OP totallymandy responds: Just entered back into Reddit after a long day to see this most recent reply. And as a fellow anime fan this making me laugh so much since it’s true! But it sorta hurts too when the reality sets in. Modern fandom is so entitled and bratty and you’d think it’s the minors only but that’s not even true, my age-mates and older seem to be like that. They want to eat their cake and complain all whilst bringing nothing to the potluck… :/ END ID]

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“Tourist” is an apt name for this sort of fan. They don’t want to be part of our community, and they don’t have to be in order to come into our spaces and consume our work. Even if they don’t steal our work themselves, they feel so entitled to it that they’re fine with ignoring our wishes and letting other people take it to make AI “podfics” for them to listen to (there are a lot of comments on lore.fm’s shutdown announcement video from people telling them to just ignore the writers and do it anyway). They’ll use AI to generate an ending to an unfinished fic because they don’t care about seeing “the ending this writer would have given to the story they were telling”, they just want “an ending”. For these tourist fans, the ends justify the means, and their end goal is content for them to consume, with no care for the community that created it for them in the first place.

I don’t think this is confined to a specific age group. This isn’t “13-year-olds on Wattpad” or “Zoomers on TikTok” or whatever pointless generation war we’re in now. This is coming from people who are new to fandom, whose main experience with creative works on the internet is this new content culture and who don’t understand fandom as a community. That description can be true of someone from any age group.

It’s so easy to find fandom these days. It is, in fact, too easy. Newcomers face no hurdles or challenges that would encourage them to lurk and observe a bit before engaging, and it’s easy for people who would otherwise move on and leave us alone to start making trouble. From tourist fans to content entrepreneurs to random people who just want to gawk, it’s so easy for people who don’t care about the fandom community to reap all of its fruits. 

So when I say maybe fandom should start gatekeeping a bit, I’m referring to the fact that we barely even have a gate anymore. Everyone is on the internet now; the entire world can find us, and they don’t need to bother learning community etiquette when they do. Before, we were protected by the fact that fandom was considered weird and most people didn’t look at it twice. Now, fandom is pretty mainstream. People who never would’ve bothered with it before are now comfortable strolling in like they own the place. They have no regard for the fandom community, they don’t understand it, and they don’t want to. They want to treat it just like the rest of the content they consume online.

And then they’re surprised when those of us who understand fandom culture get upset. Fanworks have existed far longer than the algorithmic internet’s content. Fanworks existed long before the internet. We’ve lived like this for ages and we like it.

So if someone can’t be bothered to respect fandom as a community, I don’t see why I should give them easy access to my fics.

Think of it like a garden gate

When I interact with commenters on my fic, I have this sense of hospitality.

The comment section is my front porch. The fic is my garden. I created my garden because I really wanted to, and I’m proud of it, and I’m happy to share it with other people. 

Lots of people enjoy looking at my garden. Many walk through without saying anything. Some stop to leave kudos. Some recommend my garden to their friends. And some people take the time to stop by my front porch and let me know what a beautiful garden it is and how much they’ve enjoyed it. 

Any fic writer can tell you that getting comments is an incredible feeling. I always try to answer all my comments. I don’t always manage it, but my fics’ comment sections are the one place that I manage to consistently socialize in fandom. When I respond to a comment, it feels like I’m pouring out a glass of lemonade to share with this lovely commenter on my front porch, a thank you for their thank you. We take a moment to admire my garden together, and then I see them out. The next time they drop by, I recognize them and am happy to pour another glass of lemonade.

My garden has always been open and easy to access. No fences, no walls. You just have to know where to find it. Fandom in general was once protected by its own obscurity, an out-of-the-way town that showed up on maps but was usually ignored.

But now there’s a highway that makes it easy to get to, and we have all these out-of-towner tourists coming in to gawk and steal our lawn ornaments and wonder if they can use the place to make themselves some money.

I don’t care to have those types trampling over my garden and eating all my vegetables and digging up my flowers to repot and sell, so I’ve put up a wall. It has a gate that visitors can get through if they just take the time to open it.

Admittedly, it’s a small obstacle. But when I share my fics, I share them as a gift with my fellow fans, the ones who understand that fandom is a community, even if they’re lurkers. As for tourist fans and entrepreneurs who see fic as content, who have no qualms ignoring the writer’s wishes, who refuse to respect or understand the fandom community…well, they’re not the people I mean to share my fic with, so I have no issues locking them out. If they want access to my stories, they’ll have to do the bare minimum to become a community member and join the AO3 invite queue.

And y’know, I’ve said a lot about fandom and community here, and I just want to say, I hope it’s not intimidating. When I was younger, talk about The Fandom Community made me feel insecure, and I didn’t think I’d ever manage to be active enough in fandom spaces to be counted as A Member Of The Community. But you don’t have to be a social butterfly to participate in fandom. I’ll always and forever be a chronic lurker, I reblog more than I post, I rarely manage to comment on fic, and I go radio silent for months at a time--but I write and post fanfiction. That’s my contribution.

Do you write, draw, vid, gif, or otherwise create? Congrats, you're a community member.

Do you leave comments? Congrats, you're a community member.

Do you curate reclists? Congrats, you're a community member.

Do you maintain a fandom blog or fuckyeah blog? Congrats, you're a community member.

Do you provide a space for other fans to convene in? Congrats, you're a community member.

Do you regularly send asks (off anon so people know who you are)? Congrats, you're a community member.

Do you have fandom friends who you interact with? Congrats, you're a community member.

There’s lots of ways to be a fan. Just make sure to respect and appreciate your fellow fans and the work they put in for you to enjoy and the gift economy fandom culture that keeps this community going.

[bhawaybhalla]

Unlock Your AI Potential: 10 Amazing Free AI Courses to Launch Your Learning Journey

Artificial intelligence (AI) is everywhere. From the way we interact with our smartphones to self-driving cars and groundbreaking medical diagnoses, AI’s impact is undeniable. Building a foundation in AI opens a world of career possibilities and empowers you to understand the technology shaping our future. The best part? You can dive into this fascinating field without spending a dime! In this…

[keynotespeakeraj]

Ultimate Lead Generation Course | DGAS by Amit Jadhav

Digital Growth Accelerator System DGAS by Amit Jadhav is an ultimate lead generation course. Utilize established tactics, gain access to exclusive templates, checklists, worksheets, leverage digital and AI automation tools to facilitate the implementation and automation of your growth. Get registered now!

[shewriter]

Helpful Websites & Apps for Writers

A list of helpful websites, apps, and other resources for writers and writing.

Websites for Writers A list of different writing resources, such as online writing communities, research help, free online writing courses, and free writing worksheets.

NaNoWriMo Alternatives A list of different online writing communities and word tracking tools.

Online Writing Communities A tumblr thread with a short list of online writing communities. Includes a writing website for fantasy and science fiction writers, and a website for offering and receiving critique on writing.

Helpful Sites for Writers A short list of helpful resources for writers. Includes websites for character names, an online age calculator, an online height comparison tool, a slang dictionary, and a website to check the weather anywhere in the world.

53 Best Tools for Writers A detailed list of online tools, websites, and apps for writers. Includes both free and paid apps and programs. Note: Please do your research, as a few of the listed websites/apps appear to use generative AI.

Creative Writing Tools A lengthy, detailed list of several resources for writers, including writing apps and programs, online dictionaries, online writing courses, ambient noise websites, image websites, and online PDF tools. Note: Please do your research. There is an entire section of generative AI websites/apps.

The 23 Best Writing Tools of 2025: A Guide for Writers A lengthy, detailed list of different writing programs and apps, online organization and productivity tools, and online editing tools. Includes both free and paid apps and programs. Note: Please do your research, as a few of the listed websites/apps appear to use generative AI.

The Best Book Writing Software A list of different writing programs and apps. Includes both free and paid apps and programs. Each review includes the software’s pros and cons.

For more helpful websites for writers, check out some others I’ve shared: Dictionary & Thesaurus Names for Your Characters Detailed Character Profiles

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I’m a writer, poet, and editor. I share writing resources that I’ve collected over the years and found helpful for my own writing. If you like my blog, follow me for more resources! ♡

[what-even-is-thiss]

Free or Cheap French Learning Resources So You Can Talk to Belgians

I will update this list as I learn of any more useful ones. If you want general language learning resources check out this other post. This list is French specific. Find lists for other specific languages here.

For the purposes of this list "free" means something that is either totally free or has a useful free tier. "Cheap" is a subscription under $10USD a month, a software license or lifetime membership purchase under $100USD, or a book under $30USD. If you want to suggest a resource for this list please suggest ones in that price range that are of decent quality and not AI generated.

WEBSITES

Lawless French - A free website with french lessons, vocab lists, reviews of different programs, worksheets, and an AI chatbot. The website is in English.

TV5 Monde - TV5 Monde is a TV network that provides French language TV to audiences globally. They also have free video lessons and listening exercises for learners. The website is available in multiple languages.

University of Montreal French Course - This is an online course in Canadian French for beginners on edX that can be taken for free. If you want college credit for it though, you'll have to pay for the certificate. The course is provided regularly but it also happens on a specific schedule so pay attention to when it starts next if you want to take this one.

Le Point du FLE - A website originally made for French tutors but it also has a lot of links to different resources like worksheets and dictionaries that can be useful for self study. The website is entirely in French.

French Today - A website with free articles and lessons explaining different aspects of French culture and casually spoken French. They have different articles explaining specific words and phrases related to different topics like tennis or mother's day for example. They also sell audiobook lessons but those are quite expensive at $70+. The website is mostly in English.

YOUTUBE CHANNELS

HelloFrench - A channel by a woman named Elisabeth who is a Belgian living in France. She has videos about vocabulary, culture, news, slang, and listening practice videos with her husband. The channel is fully in French but with English video titles. There are often French language subtitles onscreen and vocabulary words will pop up onscreen with English translations. Likely best for upper beginner to lower advanced learners depending on the video.

Easy French - A channel part of the easy languages network that has a mix of videos with phrases and dialogues for beginners and interviews with french speakers on the street mostly in Paris but they have made trips to other French speaking regions like Madagascar. The channel has dual language French and English subtitles onscreen. They also have a podcast for intermediate learners.

French Comprehensible Input - A channel with listening practice and comprehensible input for absolute beginners to advanced. The channel discusses a variety of different topics and has different series reading through and discussing French comic books and a series for absolute beginners discussing one different word or concept per video.

French Mornings With Elisa - A channel that's mostly about the nitty gritty of different aspects of grammar, pronunciation, French dictation, and French Culture. The channel is entirely in clear and slow French and subtitles are available in English but only auto generated in French. The channel is mostly targeted at intermediate learners. Elisa also has a podcast for intermediate learners discussing more history and everyday topics.

Français avec Nelly - A channel for French learners entirely in French. It's kind of a catch all channel for upper beginner to advanced learners with discussions of grammar, culture, different learning resources, and travel vlogs and listening and conversation practice. French and English subtitles are available.

Piece of French - A channel by a woman named Elsa who makes vlogs in clear french about everything from traveling to voting to history to teaching her boyfriend French. The channel is in French with English descriptions and video titles. Some videos put vocab words on screen with English translations while others don't.

maprofdefrancais - A channel about Quebec specific culture and language. The host speaks relatively quickly but subtitles are available in French. The channel is entirely in French and better for intermediate to advanced learners.

READING PRACTICE

French graded readers by Olly Richards - French probably has the most books available on storylearning. It seems to be the language they use to test out new book ideas. Every chapter of the books has comprehension questions and vocabulary lists. Short stories and conversations for beginner and intermediate, 30 day mastery series, climate change, world war 2, and western philosophy in easy French. The books are $5-$20 new depending on whether you buy them digital or not and how old they are. They're also fairly easy to find used for much cheaper either at used bookstores or on amazon.

News in French - A free daily email newsletter of news in French for French learners. They also have a paid tier at $5 a month that provides access to their archives, vocabulary lists for every article, and an audio version of their articles.

Journal en français facile - This can either be counted as news articles or a podcast because you can read it or listen to it. It's daily news articles/podcasts for intermediate French learners by Radio France International. They also provide grammar exercises and practice tests. The website is entirely in French.

bibliothèque rose - This is a series for French speaking kids age 6-9. They have original stories as well as novelizations of things like disney movies or winx club. The books range from about $5-$10. The link I provided is for buying them in North America but if you're in Europe you may be able to buy them directly from the company website.

Lire en français facile - Books made for learners of French. They are simplified versions of classic literature that are sorted by CEFR level (A1,B2, etc.). They have definitions of certain vocabulary words in the margins in French. The link I've provided is in French and has a list of them but doesn't have a link to buy them. There isn't really a convenient place to just buy all of them and you may have to do a little digging on amazon or ebay to find the one you want but they're almost never impossible to find for under $20 in my experience.

PODCASTS

Radio France - National public radio station made by the French government and also an app. This is a site made for native speakers but it does indeed have a lot of podcasts and French language music. They also have a news in easy french podcast as mentioned earlier. There's also a lot of content for children that may be easier to understand depending on your level. The website/app is free with an account.

Easy French Poetry - A podcast in slow French. Every episode the host reads out a classic French poem and discusses the history of the poem and a bit about the author. They also often talk about common analysis of the poem and explain different vocabulary words.

Learn French in Your Car - This is one of those classic learn a language in your car CDs that has been put on spotify for free.

French Voices Podcast - A series for intermediate to advanced learners. It's a series of interviews with French speakers about their regions and things they're experts in. The podcast hasn't updated in a few years but there's over 130 episodes in the archive.

Français avec Fluidité - This podcast discusses everyday topics and culture in French, mostly about France. There's also the occasional interview. Likely best for upper beginner to upper intermediate.

innerFrench - A podcast aimed at intermediate learners that discusses a variety of topics. The website and episode descriptions are in French.

Easy French Podcast - A podcast by the hosts of the Easy French Youtube Channel aimed at intermediate learners where they discuss different topics and answer questions from listeners.

SELF STUDY TEXTBOOKS AND DICTIONARIES

French all-in-one For Dummies - The for dummies series has one of the more affordable complete self study course French textbooks out there. It comes with a CD for listening and pronunciation practice. You can also buy the individual books in the series on pronunciation or grammar. The complete course book is usually around $25 new but you can also find it used fairly easily.

The Complete French Grammar Course - This series also has books on other things like pronunciation but each book is individually about $30 new. They are also available used however so if this series seems good for you there's still ways to buy it for under $15.

French Made Easy - This series is a budget option at about $10-$15 per book but there are multiple books in the series. It's good enough though.

Easy French Step by Step - This is the McGraw Hill budget option at usually less than $10 that only focuses on the most essential vocabulary and grammar. In other lists I recommend the McGraw Hill complete all-in-one series but for some reason their French version is like $40. They're also harder to find used because they double as workbooks and people write all over them.

Merriam-Webster's French-English Dictionary - This is the classic dictionary for learners with thousands of words with decent explanations and new editions are less than $8 with older editions being even cheaper.

DK French Visual Dictionary - This dictionary is organized by subject and has pictures and translations in English. It goes for $15-$30 depending on which edition you buy. In general older editions are cheaper and it's decently easy to find used.

Exercises in French Phonics - A book written in the early 80s that helps learners make sense of reading French phonetically. Much like English, it can be difficult to sound out or guess at the pronunciation of words in French and this book is designed to help with that. It can be bought from anywhere between $2-$10 depending on how new your copy is.

SERIES FOR LEARNERS AND KIDS SHOWS

French in Action - A series made in the 1980s for use in French classrooms. The series follows different people in everyday situations and is useful for beginner to upper beginner learners. You have to pay for the supplementary workbooks but in the US and Canada the videos at least are free. Outside the US and Canada you may need to pay or use a VPN to access them depending on your country.

Totally Spies - Yup, Totally Spies is a French series. The French language YouTube channel has full episodes and a few full seasons as well as clip compilations. The series is aimed at preteens so the language used is pretty fast paced but because it's an animated series there's also a lot of exaggerated visual storytelling which makes it easier to follow.

Extr@ - A 13 episode sitcom made for French learners that follows an American student moving to Paris.

The Adventures of TinTin - This website has free TinTin animated shorts, movies, tv shows, and documentaries going all the way back to the late 50s. The website is available in multiple languages.

[schizodiaries]

I’m seeing a lot of great discussion on my dashboard about generative AI and psychosis. I’m so glad psychotic and schizospec people are talking about this again, and I’m not sure there’s anything else I could add that hasn’t already been brought up.

All I wanted to say was my psychotic break happened just before the big genAI boom. If it had happened even a year later, I’m almost certain AI generated content would have made it so much worse for me. I was already having a hard time browsing the web, unable to tell if what I was seeing was real or manufactured by an outside force. Knowing how things are nowadays with AI (the fake images, fake videos and audio, fake posts, fake chatbots) I can’t help but worry that more people are going to be at risk of experiencing a serious break from reality.

If you know anyone who is psychotic or schizospec, has a family history of schizophrenia, is prone to mental health issues, etc., I encourage you to have a discussion with them about what generative AI is and how it works. They likely won’t be able to avoid it altogether since it’s so prevalent online, and they might even willingly engage with it out of boredom or curiosity. I think one help thing we can do for our potentially psychotic loved ones is to equip them with knowledge about what they’re dealing with. That way if they do end up losing touch with their senses, they might have an easier time reality checking and coming down from it. But of course if the time does come when they have a major psychotic break, please be there for them and support them as best you can. Never let them feel alone, afraid, or ashamed.

[callofdutymobileindia]

What Is a Generative AI Learning Course and Why Is It Important in 2025?

The rise of Generative AI is transforming how we live, work, and create. From content writing and image generation to product design and personalized marketing, generative technologies like ChatGPT, DALL·E, Midjourney, and Runway ML are now integral parts of modern workflows.

As the demand for AI-savvy professional’s increases, so does the need for high-quality education in this field. That’s where a Generative AI Learning Course comes into play.

But what exactly is a Generative AI Learning Course? And more importantly, why is it so essential in 2025?

Let’s explore everything you need to know.

What Is a Generative AI Learning Course?

A Generative AI Learning Course is a structured program designed to teach students and professionals how machines can create new content—text, images, audio, video, or even code—using advanced algorithms.

These courses typically cover:

Foundations of Artificial Intelligence and Machine Learning

Deep learning models like Generative Adversarial Networks (GANs) and Transformers

Hands-on training with tools like ChatGPT, DALL·E, Midjourney, and more

Prompt engineering, ethical AI use, and deployment of AI applications

Whether you’re a developer, designer, marketer, or entrepreneur, a Generative AI Learning Course equips you with future-proof skills to innovate and lead in the age of intelligent automation.

Key Components of a Generative AI Learning Course

1. Core AI and ML Concepts

The course typically begins with foundational topics like:

What is AI, ML, and deep learning?

Supervised vs unsupervised learning

Neural networks, backpropagation, and activation functions

This base knowledge is crucial for understanding how generative models learn patterns and generate content.

2. Introduction to Generative Models

Students are introduced to core generative models such as:

GANs (Generative Adversarial Networks) – for image and video generation

VAEs (Variational Autoencoders) – for structured and scalable data generation

Transformers and LLMs – for natural language processing and text generation

Each model comes with hands-on projects to help learners build real applications.

3. Tool-Based Training

One of the biggest advantages of a Generative AI Learning Course is direct exposure to the tools currently used in the industry:

ChatGPT – for chatbots, writing, summarizing, and ideation

DALL·E – for text-to-image creation

Midjourney – for stylized and creative artwork generation

Runway ML – for AI video editing and generation

Stable Diffusion – for open-source image generation

ElevenLabs, Jukebox, etc. – for audio generation

Learners use these tools in projects like content generation, visual branding, and app prototyping.

4. Prompt Engineering

You’ll also master prompt engineering, the science of crafting precise and effective input prompts to get desired outputs from models like ChatGPT, Gemini, and Claude.

Learn how different prompt styles affect AI behavior

Explore few-shot and zero-shot learning techniques

Design multi-step conversational flows for chatbot development

Prompt engineering is one of the most in-demand skills in Generative AI today.

5. Projects and Applications

Courses focus heavily on real-world use cases and projects such as:

AI-generated blog content

Social media post design

AI logo and product image creation

Chatbot for customer support

Automated presentation or video generation

These projects not only reinforce learning but also help build a job-ready portfolio.

6. Responsible and Ethical AI Use

Top-tier courses include critical discussions around:

AI bias and fairness

Deepfake misuse

Ownership of AI-generated content

Data privacy and intellectual property rights

This ensures learners are equipped to use Generative AI responsibly and ethically.

7. Certification and Career Guidance

Most courses offer:

Industry-recognized certification

LinkedIn profile optimization

Resume writing for AI roles

Mock interviews and placement support

Leading institutes like the Boston Institute of Analytics include dedicated career services as part of their Generative AI Learning Course.

Why Is a Generative AI Learning Course Important in 2025?

1. Generative AI Is Driving the Future of Work

As companies integrate AI into their operations, the ability to understand and use generative tools is becoming a core requirement across industries:

Marketing teams use AI to create content at scale.

Designers use text-to-image tools for rapid prototyping.

Developers embed AI into software products.

HR teams use AI for automated onboarding and communication.

A Generative AI Learning Course provides the cross-functional knowledge needed to adapt and excel in these evolving roles.

2. Demand for AI Skills Is Exploding

According to LinkedIn’s Emerging Jobs Report, roles involving AI, machine learning, and prompt engineering are among the fastest-growing worldwide.

By enrolling in a Generative AI Learning Course, you’ll gain:

Job-ready technical skills

Knowledge of industry-standard tools

A certificate to boost your credibility

In short, it gives you a competitive edge in the AI job market.

3. Generative AI Enables Creativity and Innovation

Generative AI doesn’t replace creativity—it amplifies it.

With the right training, you can:

Write scripts, articles, and copy in seconds

Generate visuals or videos for social media and ads

Create prototypes for apps, games, or websites

Build AI-powered tools that solve real problems

A good learning course unlocks these creative possibilities and teaches you to use AI as your co-creator.

4. It’s Relevant for Every Industry

You don’t have to be a software engineer to benefit from a Generative AI Learning Course. The technology is now relevant across sectors:

Education: Personalized lesson plans, AI tutoring

Healthcare: Patient communication, medical research summaries

Finance: Automated reporting, chatbot-based banking

Entertainment: AI-generated music, scripts, or animations

E-commerce: AI-written product descriptions and visuals

Whatever your field, this course can help you innovate within it.

What to Look for in a Generative AI Learning Course?

To choose the right course, make sure it includes:

Updated curriculum with 2025 tools

Hands-on projects using real-world tools

Career support and certifications

Live or recorded lessons with expert instructors

Flexible formats (online, weekend, hybrid)

Programs like the one from Boston Institute of Analytics check all these boxes and are highly rated for their practical, job-oriented training.

Final Thoughts

A Generative AI Learning Course is more than just a certification—it’s your gateway to one of the most revolutionary technologies of our time. In 2025, the ability to understand and apply Generative AI will no longer be optional. It will be essential.

Whether you want to accelerate your career, start a new one, or explore your creative potential, the right course will equip you with the tools, techniques, and mindset to succeed in an AI-driven world.

Don’t wait for the future—start building it.

Enroll in a trusted Generative AI Learning Course today and position yourself at the forefront of innovation.

[generativeaitraining]

Generative AI and Predictive AI: Comparing Two Powerful Technologies

Artificial Intelligence (AI) is transforming industries at an unprecedented pace. Among the many AI advancements, Generative AI and Predictive AI stand out as two of the most impactful technologies. While both leverage AI to process and analyze data, they serve vastly different purposes. This article will break down their definitions, how they work, key differences, applications, and their potential future impact. Generative AI Training

What is Generative AI?

Generative AI is a branch of artificial intelligence that focuses on creating new content, data, or outputs. It learns from vast amounts of data and uses that knowledge to generate original text, images, audio, and even videos.

How Generative AI Works

Generative AI models rely on advanced machine learning techniques like deep learning and neural networks. Some well-known Generative AI models include:

GPT (Generative Pre-trained Transformer): Creates human-like text, used in chatbots and content generation.

DALL·E: Generates realistic and artistic images from text descriptions.

Stable Diffusion: Produces high-quality AI-generated images. Gen AI Online Training

Applications of Generative AI

Generative AI is widely used across various industries, including:

Content Creation: Writing articles, blog posts, scripts, and marketing copy.

Art and Design: Generating artwork, illustrations, and design elements.

Healthcare: Assisting in drug discovery and medical imaging.

Gaming and Entertainment: Creating characters, music, and even entire game worlds. Generative AI Training

What is Predictive AI?

Predictive AI, also known as predictive analytics, is an AI-powered technology designed to analyze past data and make future predictions. It uses statistical algorithms and machine learning to forecast outcomes based on patterns in historical data. Gen AI Online Training

How Predictive AI Works

Predictive AI models function using:

Machine Learning Algorithms: Such as regression analysis, decision trees, and neural networks.

Data Mining: Extracting meaningful patterns from structured and unstructured data.

Big Data Analytics: Processing large datasets to uncover trends and make predictions.

Applications of Predictive AI

Predictive AI is highly valuable in industries that rely on forecasting, including:

Finance: Stock market analysis, fraud detection, and risk assessment.

Healthcare: Predicting disease outbreaks and patient diagnoses.

Retail: Demand forecasting and personalized recommendations.

Manufacturing: Predictive maintenance to prevent equipment failures.

Generative AI vs Predictive AI: Key Differences

While both technologies utilize AI and machine learning, they serve distinct purposes. Here’s a comparison:

Feature

Generative AI

Predictive AI

Purpose

Creates new content and data

Predicts future outcomes based on past data

Core Function

Content generation

Data forecasting

Examples

ChatGPT, DALL·E, Stable Diffusion

Forecasting tools, fraud detection, medical diagnosis

Industries

Media, Art, Marketing, Gaming

Finance, Healthcare, Retail, Manufacturing

Data Usage

Learns from datasets to generate new outputs

Analyzes historical data to predict trends

The Future of Generative AI and Predictive AI

Both Generative AI and Predictive AI will continue to evolve and shape various industries. Some potential future developments include:

Enhanced Creativity: Generative AI will produce even more realistic and sophisticated content.

Improved Accuracy: Predictive AI will refine its forecasting capabilities with better data and algorithms.

AI Synergy: The combination of both technologies could lead to AI systems that generate solutions while predicting their outcomes.

Conclusion

Understanding Generative AI vs Predictive AI is crucial as both technologies are revolutionizing industries in different ways. Generative AI is transforming creative fields, while Predictive AI is optimizing decision-making and forecasting. As AI continues to evolve, businesses and individuals can leverage both technologies to enhance innovation and efficiency.

Visualpath is the Leading and Best Institute for learning in Hyderabad. We provide Generative AI Online Training Course. You will get the best course at an affordable cost.

Call on – +91-7032290546

Visit: https://www.visualpath.in/online-gen-ai-training.html

[cannimumsable]

yeah so if you genuinely don't know how to write an email instead of using chatgpt and getting something that 1: has a chance to just fucking suck (and potentially be noticeably AI) and 2: uses stolen content, ruins the environment and indicates to the gen-AI companies that you want more gen-AI bullshit that will steal things and ruin the environment, you can look up how to write an email or look up email examples. here's a website, here's another, here's the wikihow page (it's a bit shit but it does its job), here's a good one for formal emails, and here's an email I sent today (more examples under the cut):

something that's really annoying right now is that most websites are desperately trying to sell you their cool funky AI friend that can write the email for you, and look at me: you have to tell it to go fuck itself (in your head, don't use it). this isn't about you being a moron for not being about to write an email, I struggled with it for a while too, I still do sometimes, writing emails notoriously sucks. gen-AI sucks more.

also, this might not be the case for everyone, but please at least try to learn how to write the email before using chatgpt, it will help you forever. if you have a question about emails or if you're not sure how to write one specific email, you can send an ask: I'm not all-knowing but I'll do my best to help.

I can mostly help for college/high school levels and I am studying in a French school, so the codes may not be exactly the same, but I am in fact being taught by English speakers, sometimes native ones.

I'll give more general advice at the end, but here are a few examples of emails I would send.

If there's even a small chance of your teacher not recognizing you, write at the top something like "I am Name Last name, I am in your X-Y-Z class on Mondays from 8AM to 9AM". This isn't too useful in high school because your teachers likely know you, but in college your teachers might not. This will give them context.

Do your best to avoid typos or grammar errors. Reread your email, especially if the teacher is a language teacher.

Be polite, always, unless the teacher explicitly specified they don't care.

You do not need to beg for anything, don't debase yourself, and if a teacher makes you debase yourself, report them. You shouldn't have to beg for something that you ask for in an email. (so no more than one please per email, and avoid this one please if possible).

If it's possible and safe for you, prefer discussing important matters IRL.

Remember who you're talking to. Is the teacher strict or chill? Younger or older? Are they a white abled man or a Black disabled woman? Are they very into "respect the teacher!!" or do they put themselves at your level? Are you a 15 y/o high school student or a 20 something college student? Is this teacher familiar with you? Have they been understanding in the past? etc.

Generally, despite all my warnings above, a simple polite email will be fine with most teachers. If you're not sure how to identify the above possibilities or how to alter your emails depending on them, just write a formal, polite email (like seen above).

Some universities have online courses that teach you how to write emails. If there is a web-type course in your university and you can take it, take it.

Mine has one. I hate it. They defined a tweet as a "post on a blogging platform". I have to complete it or I don't pass. It still has a good tutorial for writing emails. You are lucky in the sense that emails are like the basic thing that even the boomer teachers know how to do (even if they don't like doing it), so there are a lot of resources for people who haven't written emails yet and need to learn.

If possible, ask your teacher at the start of the year what email to contact them with - if you're lucky, they'll say things about what kinds of emails they want.

If you're lucky still, someone else will send a shit email and the teacher will make a point during the class to remind how to write a proper email.

I put "Dear name" everywhere, but if it's not an extremely formal setting, some teachers will be fine with a "Hello". If you're not sure of the receiver's gender, use their title (Dr. etc).

For the extension: sometimes teachers aren't allowed to give you an extension or are assholes who don't want to give you an extension. In that case, don't bother writing another email (again: don't beg. + it will make them dislike you which you don't want).

This works more in work settings, but I read once that it's good to say "I will be taking a day off" rather than "May I take a day off/is it possible to take a day off". Just say that it's going to happen.

Know your rights. I can't know them for you. Figure out what the teacher can and cannot do through legal documents on your school's website or whatever. Know your rights depending on your state or country.

If you have a bad memory and don't want to have to look up how to write an email everytime, open your notes app or your blocknote or any preferred place to take notes and write down the important. I'd advise to note common greetings, subjects, opening and closing lines. Same for your teachers, if you need to remember which one is a bitch and which one is chill, write their name down with a description.

[bellanoche-oxo]

I'm sorry this isn't a commission, but I just have a question about your art. Feel free to ignore this, of course. I was really amazed by your Miku drawing from December 16th. Seeing such a high-level piece, I wanted to achieve something similar, but no matter how much I try, I can't replicate your shading and highlights. I was so genuinely curious that I couldn't sleep. Could you possibly give me any hints or advice?

Hey, sorry for making you wait so much for this answer, i've been finishing some projects and i barely had free time. Anyways i'll try to do my best on explaing my coloring and lighting methos and you also asked me to explain how i create the folings of the clothes. Please take in consideration that 1 i am not native in english so it's a bit difficult for me to explain myself sometimes in this language and i may have some misspelings, sorry about that, and also 2 i am not great at explaing my drawing process bc i kind of turn off my brain when i draw lol, but i can explain the fundamentals that i know and help me create! Last thing i want to let you know is that i've started glazing my art, this is a metho to protect the images for AI images generators and it leaves a kind of pattern /effect on the image that i did not put there during the drawing process.

with all of this said let me start explaining things!

Learn the basics:

This may come as a cliche i guess, but yes my first ever advise to anyone is learn the basic theory on lighting and colors (on anything related to art tbh). You don't really need to spend a lot of money on books and such as there are lots of resources online like videos and documents you can read for free. It's not necesary to be an expert and even the smallest mount of knoledge is enought to inpruve your art a lot! , i find it very interesting to learn the way things work too so don't think you'll get bored of it!

To be frank, i am actually not very good at lighting lol. My lights and shadows are not very correct, but since i do have a lot o control over my colors and i know very well how to used them it kind of compensates and creates a very recognisable (i think) style.

just u know basic shitty advise that everyone is going to give you but it works! if you have free time try watching some videos or reading some documents about color theory shadow and lighting!

Your working space:

So this is something that works FOR ME not everyone likes it, you can try it see if you like it and if you do, cool! if you don't … that's cool too! When drawing on digital i prefer it when my base layer is grey instead of white. It helps with my headaches too but it's more about the fact that starting in a middle tone when coloring (in my opinion) makes the process of briging out both shadows and lights easier, let me give you an example:

Drawing from complete light (white) to compplete darkness (black) may condicion you to actually lose control in the contrast betwen these areas, i prefer staring in a middle place (grey) and that way is i want to show darkness i'll use a darkr color and if i want to show light i'll use a lighter color, but if i start on white i can't use anything lighter. I think i did a HORRIBLE job explaing myself there, but yeah it just helps me control my color valius a bit more lol.

this is the color that i used:

Another inportant thing about your woking space is you brushes, in my case i prefer using textured brushes that mix well, and i prefer using very thick strokes, if it's too think i'll just color pick the transparent color and ease it! I work in CSP i don't know what you use, but just in case i'll give you the setiings of the brushes i use the most with their codes so you can find them

Sculpting with lights and shadows

As i said before, i am not very good with light yet, so this is something that i do to help me with the process. When you think about it, lighting is used in art to give volume to the piece, not in every case bc rules in art are not there to be followed but to asist us when we need to take a creative decision. The way that we can start with our Sculpting is by creating a very easy first guide othe the shadows and lights and to do it with very big block, so that we get the general shape first,we don't neet to get lost in the detailds yet

The actual coloring

When drawing my process is divided in three stages. I first create the doodle/lineart, that doesn't neet to be super neat as i will fix it during the rendering. The basic colors, and the rendering.

During the preparation for the rendering when doing the base colors i recomend that you give special atention to the focal points of your illustration, in this case for example that's her face and the top of the hair, that's why i gave so much more atention for this part in comparation to the shirt, that it's literally not shadowed yet. Then another step that i use normally before rendering and that i can NOT RECOMEND ENOUGHT!!!! GO WILD WITH THE COLOR CURVES!!!! OMG!!!! THAT STUPID LITTLE TOOL IS SO FUCKING COOL!!!!!!!!! like for real, it gives effects that i have not been able to achive in any other way and omggggggg use the fucking color curves pleaaaaaaseeeeee

ok i'm notmal again , lets continue.

For the rendering i usually convine all the layers of the drawing on one layer, then use a textured brush that has low opacity of mixes very well fot the actual work. Tbh here is very i can't really help you a lot, bc i have no idea what i'm doing when i render i just don't know, the only thing i recognise is that i try to esare or clean the lines from the doodle/lineart, and i focus a lot on creating volume in the places that are more important.

Skins

An specific thing that i do a lot when it comes to coloring skin is using an undertone in red (literally) I will put the basi color, use the brush to mark where i want shadows to be in a very vibrant red and then use a blue / green / pruple (depends on the skin) to finish the shadowing. Thios metho is nice for lots of occasions, but take in consideration that it doesnt work for example for very dark scenarios where the character is suppoused to be in the shadows, as that red tone works as a outline for the light. It just depends on the situation.

Clothes foldings:

Ok so here the only thing i can give you an advise with is to remember that the way that clothes fold dependes on gravity and that gravity works in curves most of the time that have two (or more) attachment points that are going to determinate theit trajectory. Example:

And remeber that this creates (again) a volume, that there is an inside part, that it's probably going to be draker, and an outside part, that it's going to be lightter. With this info you can start practicing with images of clothes.

this is as much information as i am able to recolect on my coloring process bc i am horrible explaining , spacially on text and in english, and i am also not very much aware when i draw, i kind of disconect. I still hope this is enough to help you a bit on your learning journy.

I may try doing a video at some point if i ever have the time so i can explain my coloring while i actually do it bc if not in that situation i'm not sure i'll be able to remeber what it is that i did.

My last piece of advise is to watch speedpaints and livestreams of artists you like during their drawing process and maybe even tray to imitate them while they are drawing to see what it is that they do exccly.

hope you have a good day and lot of lucks ! be proud of being able to create and be proud of being an artist!

[dryndelicate]

@softsmooth69 has revealed some tricks of his trade in a comment answering @danni-gurrl. Having such complex prompt is always a good opportunity to run it through different engines.

This is my current go-to choice, the tengr.ai online AI service. That's pretty, but of course nowhere near as playful. I've chosen the two best images out of just four generated in one run with the "Portraiture" preset.

The new kid on the block is the "Quantum Mode" on tengr.ai. I've created 2 x 2 images, again with portrait preset, and picked the better two. The promise, that it is more faithfully delivering what the prompts requests seems to be working out.

My trusted Fooocus installation with DynaVisionXL got me this.

Finally my local installation with Flux 1.S revealed that Gencraft is definitely offering Flux to our dear friend. This is his girl. I had to wait for 9 images to be created to get at least two with some useful results.

[writingsoftarnishedsilver]

a personal post/reflection on ai use

some of you reading this may have seen the message i received accusing me of using ai to write my work. i wanted to take a moment to talk about how it made me feel and, more importantly, the impact that accusations like this can have on writers in general.

I won’t lie: seeing that message in my inbox, being told that the stories i spend hours writing aren't “real", that my effort and creativity don't belong to me, was really disheartening. then i had to defend my own writing against these accusations and that wasn’t exactly fun. and while i know i shouldn’t let it get to me, the truth is that it does, because I'm a real person!

It’s made me overthink everything i write. I already reread my fics multiple times before posting, checking for flow, consistency, and coherence, but now, i find myself second-guessing every sentence. Does this sound too robotic? Is my phrasing too formal or too stiff? Or maybe it’s not polished enough? Maybe it's too polished. What if i accidentally repeat a word or structure a sentence in a way that someone deems “ai-like”? Will i be accused of this again?

I want to be clear also that this isn’t about seeking sympathy. I just feel it's important to remind people that fanfic writers are real people with real emotions. We write because we love it, because we want to share stories for others to enjoy for free. And yet, there are people out there who treat “spotting ai” like some kind of witch hunt, who feel entitled to send accusations to complete strangers without any basis for it.

And I don't say this to be elitist, but for some context, I have a master’s degree in computer science. I work in tech every day. I specialize in machine learning. When I say there is no reliable way to tell whether a passage of text was written by ai or a human, i'm not just making shit up. ai detection tools are completely unreliable. they give false positives all the time, and they are, quite frankly, complete bullshit.

And I get that there are legitimate concerns about ai-generated work in creative spaces, especially when it comes to art, writing, and other forms of expression that people put their hearts into. I have taken ethics courses in ai for this reason. I understand why people are wary, and i’m not saying that those concerns aren’t valid. But this is exactly why we should be mindful of how we engage with content. If you don’t like something, if you suspect it was ai-generated and that bothers you, the best thing you can do is simply not engage. don’t read it, don’t share it, don’t support it.

But going out of your way to harass people, to send accusations without evidence, to act like you’re some kind of ai-detecting authority is not just absurd, but it’s harmful to real people because you will inevitably get it wrong!!!

At the end of the day, this is fan fiction. no one is paying for this. no one is being scammed. so why do people act like they need to police something that’s supposed to be fun, creative, and freely shared? if you love stories written by real people, support those writers. but please, stop making this space even more stressful for the people who are already here, giving their time and creativity to share something they love.

And if you still think making accusations about people using AI for their writing is the correct and virtuous thing to do, I invite you to read this online thread of freelance writers discussing the legitimate harm that has come to their livelihood due to the false positives of ai detection tools and false accusations.

[mariacallous]

After a lifetime on the frontiers of the fight against HIV, Linda-Gail Bekker could finally see the end of the epidemic in sight. For decades, HIV experts had dreamed of an elusive vaccine to block the ongoing chain of infections, which still sees more than 1 million people worldwide contract the virus annually. Bekker, a 62-year-old medical professor from the University of Cape Town, had helped identify a drug that could do just that.

But now, thanks to the Trump administration’s executive orders, it’s unclear when—or possibly even ever—this breakthrough medicine will see the light of day.

At the AIDS 2024 conference held in Munich last July, Bekker had triumphantly unveiled the results of a momentous clinical trial she had led, called PURPOSE 1. It showed that lenacapavir, an antiretroviral developed by the pharmaceutical company Gilead Sciences, could prevent sexual transmission of HIV with 100 percent efficacy by disrupting the function of the virus’s capsid protein, which allows it to replicate.

Even more remarkably, compared with existing daily pre-exposure prophylaxis (PrEP) pills, which do a similar job, injections are only required every six months. While not strictly a vaccine, lenacapavir promises to be the next best thing. It was named as 2024’s “Breakthrough of the Year” by the prestigious journal Science, and Gilead promptly committed to manufacturing 10 million doses by 2026, enough to treat 2.5 million people, ahead of anticipated regulatory approval later this year.

A collaborative effort between the medicines-financing initiative The Global Fund and PEPFAR, the US government’s global HIV/AIDS program, had pledged to procure 2 million of those doses over the course of three years, which would be directed toward countries with the highest incidence of HIV, most notably in sub-Saharan Africa. But with President Donald Trump’s decision to freeze all foreign aid funding, this plan has been left in tatters.

“There’s despondency and a sense of tragedy,” says Bekker. “Because just as we’ve had the breakthrough, we also see the taps turning off of resources. We had a laid-out map where the product would be supplied via PEPFAR and The Global Fund while we wait for generics [cheaper off-label versions of lenacapavir] to come online, which will take 18 months to two years. And at this moment, that plan is falling through in front of our eyes.”

While a temporary 90-day waiver has been issued for PEPFAR funding, this has only reinstated funding for life-saving antiretroviral treatments for HIV-positive individuals. Existing forms of PrEP are covered, but only for pregnant or breastfeeding women. There have been no indications that the planned purchase of lenacapavir will be fulfilled.

According to Kenneth Ngure, an HIV-prevention expert in Kenya and president-elect of the International AIDS Society, the loss of PEPFAR funding for prevention represents a major setback in the world’s ability to control HIV. “Even if The Global Fund partners with others, they will probably not be able to reach the number of doses they had promised,” he says. “We have this potential game-changer, which could accelerate the end of HIV as a public health threat, and yet it looks like access will be highly compromised.”

For Ngure and others, there is a sense of history repeating itself. The major limitation of PrEP is that adherence is notoriously poor, with studies showing that target groups often struggle to access or forget to take daily pills and feel stigmatized doing so. “We know that particularly for young people, taking a daily oral PrEP pill is challenging,” says Bekker. “We’ve tried all sorts of things, like sending text messages. São Paulo is even giving PrEP in a dispensing machine. But it’s sometimes very difficult to take something daily when you’re not sick and you’re doing it for prevention.”

Longer-acting injectables have long been viewed as a better way forward, and in 2021, the HIV field was galvanized by promising trial results for cabotegravir, a form of injectable PrEP that only needed to be administered every two months, with a trial demonstrating that people receiving this drug had 90 percent less risk of contracting HIV compared with oral pills. Yet access has been the major hurdle.

Last month a new study revealed that while regulators in 53 countries have approved cabotegravir, rollout has been painfully slow. Generic versions of the jab are not expected to become available until 2027. In Africa and Asia, where cabotegravir is most needed, the only access so far has been through so-called Phase 4 or implementation science studies, which attempt to understand more about the real-world challenges of offering a new drug by dispensing it to a few thousand people.

And also as a consequence of orders coming out of the White House, a number of these Phase 4 studies have abruptly ceased. “They’re very concentrated in East and Southern Central Africa,” says Bekker. “Some of them were PEPFAR supported, and with the stop-work order, these studies have ground to a halt.”

The frustration for researchers like Bekker is that while long-acting injectables are extremely effective at blocking HIV transmission, to end the epidemic, their rollout needs to be as rapid and as wide-reaching as possible. She points out that to prevent over a million new infections each year, these jabs need to be targeted at HIV hotspots and administered on a scale of millions—exactly as the plan with lenacapavir was proposing.

“We’ve seen with both cabotegravir and oral PrEP that if you get a new tool, but roll it out gently, that will not impact the epidemic,” says Ngure. “The number of new infections still outpaces the impact of the tool. You need something which is potent and to roll it out fast.”

With lenacapavir, things were supposed to be different. Gilead has partnered with six generic drugmakers, which have been licensed to produce enough of an off-label supply of lenacapavir to cover 120 countries. Estimates have suggested that if the global demand exceeded more than 20 million doses, the manufacturing costs could fall to just $35-40 per person per year. However, Bekker says that PEPFAR was expected to be a significant buyer, and without its financial clout the commercial viability of manufacturing generic lenacapavir at vast scales is in doubt.

“It requires a nice healthy demand to ensure that for each of the generic companies, it’s going to be worth their while,” says Bekker. “We are all hoping that governments [across sub-Saharan Africa] are writing the generic product into their budgets for the future, but the reality is that in the interim, we were relying on donor funding. Even my country, South Africa, which has a good GDP and funds 80 percent of its HIV response, is already purchasing antiretrovirals for 6 million individuals annually. I would imagine it will take them some years to be able to mobilize the money for lenacapavir as well.”

With PEPFAR seemingly now focused primarily on the treatment of existing patients, at the expense of prevention, clinicians like Nomathemba Chandiwana, a physician-scientist at the Desmond Tutu Health Foundation in South Africa, are concerned that the infection rate will begin to rise rather than fall, something which will have a marked public health impact across the African continent and beyond.

Speaking at last week’s NCD Alliance Forum in Kigali, Chandiwana explained that the consequences of new infections are not solely related to HIV itself. Research is increasingly showing that people living with long-term HIV infections, even those controlled by antiretroviral treatment, are at a greater risk of developing metabolic conditions such as hypertension, obesity and type 2 diabetes, a disease burden which is already on the rise in sub-Saharan Africa. “HIV itself disrupts your metabolism, as do many of the antiretrovirals,” says Chandiwana. “We see the same chronic diseases in people living with HIV as we do in the general population, but at an earlier age and in an accelerated fashion.”

Because of this, there is also a need for a new generation of HIV treatments, and one concept being explored was to use lenacapavir as a foundation of future combination therapies for those already with the virus. As well as potentially alleviating some of the metabolic side effects, it was hoped that this could lead to treatment protocols that did not require HIV-infected individuals to take daily medication.

“Various ideas have been mooted,” says Bekker. “Could you combine bimonthly cabotegravir with a six-monthly lenacapavir injection [as a form of viral suppression], so you’d only come in six times a year for treatment, and it would all be injectable? There’s a weekly antiretroviral pill in the works, and could you combine that with a six-monthly injectable? This could be very liberating for people, as they tell us all the time how stigmatizing it is to need to take daily medication.”

Yet many of these studies are now in doubt, as Bekker says they were expected to be funded by US resources. “It’s not just PEPFAR; we’re also worried about restrictions being placed on other sorts of research funding, such as the National Institutes of Health,” she says. “It’s just going to get harder to innovate and move progress forward.”

According to Ngure, there is still hope that other donors may emerge who can support The Global Fund in procuring lenacapavir, while Bekker says she is exploring new options for funding HIV prevention and research through European agencies, and possibly donor funding from sources in Scandinavia, Japan, and Australia. At the same time, she believes that the events of the past month have illustrated that African countries need to become capable of funding more preventative efforts themselves.

“Somehow Africa needs to step up and contribute to the fight,” she says. “I think that’s the big question. How much we can also contribute on this continent through countries which haven’t necessarily been able to cover a big amount of research and development but in the future need to.”

At the same time, she is afraid that without the same resources coming from the US, the unique opportunity provided by lenacapavir could be lost.

“It’s incredible that this has happened just as we’ve had the breakthrough,” she says. “I think this is going to set us back many years and ultimately cost a lot more in public health spending. Because ultimately, if we can bring this epidemic under control more quickly, it’s going to save the planet more money in the long run, and save lives too.”

[callofdutymobileindia]

Top 7 Best Generative AI Courses Online for Beginners and Professionals

Generative AI is transforming how businesses operate, how creatives innovate, and how developers build. From generating human-like text with ChatGPT to creating images, videos, music, and even code using tools like DALL·E and Midjourney, the applications of Generative AI are vast and growing.

As a result, both beginners and seasoned professionals are actively seeking quality Generative AI courses online to gain mastery over these powerful tools and techniques. But with so many options available, how do you choose the best one?

This article presents a complete breakdown of the top 7 modules or learning paths you should look for in a Generative AI course that caters to both beginners and professionals—ensuring you gain practical, future-ready skills from a single, integrated learning experience.

1. Foundations of Generative AI and Machine Learning

Every great Generative AI course begins with a strong foundation in artificial intelligence and machine learning. As a beginner, you need to understand:

What is AI and how it differs from traditional automation

Basics of machine learning: supervised vs unsupervised learning

Introduction to neural networks and deep learning

Understanding of model training, validation, and tuning

This module is essential because it gives you the context behind generative models, allowing you to fully understand how tools like GPT or DALL·E work at a conceptual level.

2. Introduction to Generative Models and Architectures

Once the foundation is in place, the next step is understanding how machines generate new data. This module introduces:

Generative Adversarial Networks (GANs)

Variational Autoencoders (VAEs)

Diffusion models

Transformer architectures like GPT (Generative Pre-trained Transformer)

By completing this segment, you’ll develop a deep understanding of the underlying mechanisms behind text, image, audio, and video generation tools.

3. Practical Training with Industry-Leading Tools

The most impactful Generative AI courses online provide hands-on learning with real-world tools. You’ll gain direct experience with:

ChatGPT: For natural language generation, content creation, chatbot development

DALL·E: For image generation using textual prompts

Midjourney: For artistic and stylized AI image generation

Runway ML: For AI-based video editing and generation

Stable Diffusion: For open-source image creation with greater control

Text-to-speech and voice cloning tools: For creating AI-generated audio

These tools are revolutionizing workflows in marketing, design, writing, development, education, and entertainment. Any course that doesn’t include them isn’t truly preparing you for the real world.

4. Mastering Prompt Engineering

Prompt engineering has become one of the most in-demand skills in 2025, especially with the rise of large language models (LLMs). A top-tier course will train you in:

Structuring prompts to get optimal results

Understanding zero-shot and few-shot prompting

Crafting system instructions and multi-turn dialogue flows

Fine-tuning responses for tone, accuracy, and creativity

Whether you’re working in content, design, research, or customer service, prompt engineering is your key to unlocking the full potential of generative tools.

5. Real-World Projects and AI Application Building

The best Generative AI courses online go beyond theory and let you build AI-powered applications. Look for a curriculum that includes project work like:

AI-powered content generation tools

Automated blog or social media writing tools

Visual asset generators for branding

AI chatbots for customer support or education

Video and animation projects using AI

Resume and portfolio building using AI

Not only will these projects solidify your learning, but they also create an impressive portfolio you can showcase to employers or clients.

6. Ethical AI, Bias Mitigation, and Responsible Use

With the power of Generative AI comes great responsibility. A professional-grade course must include a dedicated module on ethics, safety, and responsible use of generative technologies. This includes:

Understanding bias in AI models

Ethical implications of deepfakes, AI-written content, and synthetic media

Guidelines on copyright and ownership of AI-generated content

Ensuring consent, privacy, and data security in AI applications

In 2025, businesses are increasingly adopting Responsible AI practices, and being trained in ethical frameworks is a valuable career asset.

7. Certification, Career Support, and Continuous Learning

The final—and often most overlooked—component of a great Generative AI course online is career enablement. You should expect:

A globally recognized certification upon completion

Resume building and LinkedIn profile optimization tips

Mock interview sessions and placement support

Access to alumni networks or AI communities

Continuous learning resources (updates on new tools, model releases, etc.)

These services ensure that your learning leads to actual career opportunities—whether you’re job-seeking, freelancing, or starting your own AI-based venture.

Who Should Take a Generative AI Course Online?

These courses are designed for a diverse audience, including:

Students interested in AI, ML, or tech innovation

Working professionals looking to upgrade their digital skillset

Content creators and marketers aiming to scale their output

Designers and video editors who want to automate visuals

Educators building AI-enhanced teaching tools

Entrepreneurs and freelancers exploring AI product ideas

No prior coding experience? No problem. Top courses cater to both non-tech and tech learners.

Final Thoughts: Choose the Right Generative AI Course That Covers It All

In today’s digital economy, learning about Generative AI is no longer optional—it’s essential. But not all courses are created equal.

When choosing from the many Generative AI courses online, prioritize those that offer:

A complete curriculum (from foundational concepts to advanced tools)

Real-world projects and career-building support

Up-to-date coverage of tools like ChatGPT, DALL·E, and Midjourney

Ethical training and responsible AI use practices

A clear path from beginner to professional

If you're serious about building a career or business powered by Generative AI, invest in a course that’s designed with your future in mind.

Master the skills. Build the future. Start your journey into Generative AI today.