Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Microsoft just released a full AI degree for free It's called AI For Beginners, and it's a complete 12-week, 24-lesson curriculum. Free, on GitHub, no signup It starts from zero and builds up. The history of AI, neural networks and deep learning, computer vision, natural language processing, transformers and... large language models, even genetic algorithms and AI ethics. Every lesson comes with reading, runnable Jupyter notebooks in both PyTorch and TensorFlow, quizzes, and hands-on labs. So you're not just reading theory, you're writing real code. There's also a beginner track if you're totally new: "Hello AI World," a simple neural network from scratch, an image classifier, and a sentiment analyzer. Here's the link: Bookmark thisshow more

Yarchi

18,252 subscribers

54,263 views • 3 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

19 Comments

starmex3 months ago

starts from zero and builds all the way, saving this

Yarchi3 months ago

definitely worth saving

Insomnia3 months ago

most under value info here

Yarchi3 months ago

appreciate it

slash1s3 months ago

wanna research it

Yarchi3 months ago

you're welcome bro

Cyril Gupta3 months ago

This will be one of the best free AI learning resources I've seen this year.

Noisy3 months ago

these were the most useful 24 seconds i can remember, thanks.

Yarchi3 months ago

hahah thanks

pikashuk3 months ago

tbh most free courses fall off around week 4 lol this one different?

Gipp 🦅3 months ago

microsoft is a real genius in this regard

Cryton3 months ago

Free, hands-on, and no signup? That's genuinely one of the best ways to start learning AI.

Laughter_lift3 months ago

.

𝗢𝗠𝗘𝗚𝗔3 months ago

12 weeks of runnable notebooks free that actually sticks

Harry Tandy3 months ago

thanks for the link, bookmarked it instantly

Blum3 months ago

definitely not one to miss. saved

AI Mastery Guide3 months ago

12 weeks, free, no signup, that's a solid deal for anyone starting from zero.

Ridark3 months ago

This video is really very useful and deep

Shadow Nick3 months ago

thanks for sharing legend!

Related Videos

Don't waste 2 years figuring out AI on your own in 2026. a free GitHub repo from Microsoft with 56,200 stars just gave out the entire framework to master "AI Engineering in 2026" In only 12 weeks. You can go from 0 % →100 % [ here is how to do that] 4% → Introduction and History of AI 8% → Knowledge Representation and Expert Systems 13% → Perceptron 17% → Multi-Layered Perceptron and Creating Your Own Framework 21% → Intro to Frameworks (PyTorch/TensorFlow) and Overfitting 25% → Intro to Computer Vision, OpenCV 29% → Convolutional Neural Networks and CNN Architectures 33% → Pre-trained Networks, Transfer Learning and Training Tricks 38% → Autoencoders and VAEs 42% → Generative Adversarial Networks and Style Transfer 46% → Object Detection 50% → Semantic Segmentation, U-Net 54% → Text Representation, BoW/TF-IDF 58% → Semantic Word Embeddings, Word2Vec & GloVe 63% → Language Modeling, Training Your Own Embeddings 67% → Recurrent Neural Networks 71% → Generative Recurrent Networks 75% → Transformers and BERT 79% → Named Entity Recognition 83% → Large Language Models, Prompt Programming and Few-Shot Tasks 88% → Genetic Algorithms 92% → Deep Reinforcement Learning 96% → Multi-Agent Systems 100% → AI Ethics and Responsible AI it replaces 10 paid courses on agentic engineering. watch it today, then read the article below on how to generate alpha using graph engineering for hedge fund ↓

Don't waste 2 years figuring out AI on your own in 2026. a free GitHub repo from Microsoft with 56,200 stars just gave out the entire framework to master "AI Engineering in 2026" In only 12 weeks. You can go from 0 % →100 % [ here is how to do that] 4% → Introduction and History of AI 8% → Knowledge Representation and Expert Systems 13% → Perceptron 17% → Multi-Layered Perceptron and Creating Your Own Framework 21% → Intro to Frameworks (PyTorch/TensorFlow) and Overfitting 25% → Intro to Computer Vision, OpenCV 29% → Convolutional Neural Networks and CNN Architectures 33% → Pre-trained Networks, Transfer Learning and Training Tricks 38% → Autoencoders and VAEs 42% → Generative Adversarial Networks and Style Transfer 46% → Object Detection 50% → Semantic Segmentation, U-Net 54% → Text Representation, BoW/TF-IDF 58% → Semantic Word Embeddings, Word2Vec & GloVe 63% → Language Modeling, Training Your Own Embeddings 67% → Recurrent Neural Networks 71% → Generative Recurrent Networks 75% → Transformers and BERT 79% → Named Entity Recognition 83% → Large Language Models, Prompt Programming and Few-Shot Tasks 88% → Genetic Algorithms 92% → Deep Reinforcement Learning 96% → Multi-Agent Systems 100% → AI Ethics and Responsible AI it replaces 10 paid courses on agentic engineering. watch it today, then read the article below on how to generate alpha using graph engineering for hedge fund ↓

Avid

14,619 views • 2 months ago

Build a neural network from scratch, train it, and optimize it for real-world AI infrastructure during our PyTorch Associate Training the day before PyTorch Conference North America on October 19th. Your instructor, Faradawn Yang of NVIDIA AI explains how this training will give you hands on experience with the latest AI accelerators & prepare you for the PyTorch Certified Associate (PTCA) certification exam. #PyTorchCon

Build a neural network from scratch, train it, and optimize it for real-world AI infrastructure during our PyTorch Associate Training the day before PyTorch Conference North America on October 19th. Your instructor, Faradawn Yang of NVIDIA AI explains how this training will give you hands on experience with the latest AI accelerators & prepare you for the PyTorch Certified Associate (PTCA) certification exam. #PyTorchCon

PyTorch

17,476 views • 9 days ago

if you’re passionate about ai skills & literacy, this is for you. these programs are free, beginner-friendly, and come with a certificate after completing each course. → google learn ai { free courses by google covering ai fundamentals, prompt writing, and practical use cases for work and business. perfect for beginners. → anthropic courses { learn how to use claude and understand responsible ai, safety, and effective prompting directly from the team building frontier models. → amazon aws ai training { introductory to advanced ai and machine learning courses, including generative ai on aws. great if you want cloud + ai skills. → codecademy { interactive, hands-on coding lessons. you can learn python, data science, and ai-related programming skills step by step in your browser. any of these courses can take you from a complete beginner with zero experience or poor ai skills to a more advanced level. and since they’re completely free, you’ve got no excuses left to become ai literate. thanks for your attention.

if you’re passionate about ai skills & literacy, this is for you. these programs are free, beginner-friendly, and come with a certificate after completing each course. → google learn ai { free courses by google covering ai fundamentals, prompt writing, and practical use cases for work and business. perfect for beginners. → anthropic courses { learn how to use claude and understand responsible ai, safety, and effective prompting directly from the team building frontier models. → amazon aws ai training { introductory to advanced ai and machine learning courses, including generative ai on aws. great if you want cloud + ai skills. → codecademy { interactive, hands-on coding lessons. you can learn python, data science, and ai-related programming skills step by step in your browser. any of these courses can take you from a complete beginner with zero experience or poor ai skills to a more advanced level. and since they’re completely free, you’ve got no excuses left to become ai literate. thanks for your attention.

m0h

19,482 views • 7 months ago

AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):

AI coding just arrived in Jupyter notebooks - and bhupesh ganger (Jupyter co-founder) and I will show you how to use it. Coding by hand is becoming obsolete. The latest Jupyter AI - built by the Jupyter team and showcased at JupyterCon this week - brings AI assistance directly into notebooks. Most AI coding assistants struggle with Jupyter notebooks. Jupyter AI was designed specifically for them. This is the first course to teach it. In this course, Brian and I teach you to: - Generate and debug code directly in notebook cells through an integrated chat interface - Provide the right context (like API docs) to help AI write accurate code - Use Jupyter AI's unique notebook features: drag cells to chat, generate cells from chat, attach context for the LLM We've integrated Jupyter AI directly into the DeepLearningAI platform, so you can start using it immediately. Since Jupyter AI is open source, you can also install and run it locally afterward. Whether you're experienced with notebooks or learning them for the first time, this course will prepare you for AI-assisted notebook development. Start using Jupyter AI (free):

Andrew Ng

118,878 views • 11 months ago

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today.

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today.

CyrilXBT

18,550 views • 26 days ago

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

✨ It's not even 2026 yet, but you can start using AI world models today! This is World Labs running inside my app 🏡 Interior AI letting you redesign your home with AI and then walk through it! It's really cool and of course not perfect especially since for now it's based on just one image, but multi-image will allow for more precise understanding of the room As always this is just the first version, and it'll get better from here World Labs is founded by Fei-Fei Li, a Computer Science professor from Stanford University, and other people like Justin Johnson, Christoph Lassner, and Ben Mildenhall "each a world-renowned technologist in computer vision and graphics" The tech essentially comes down to img2splat, search what a guassian splat is if you don't know It's in beta and wait list, but I'm trying to get this live for everyone as soon as possible as it seems like such an essential feature for interior design P.S. I also tried to worldify people photos (for Photo AI) but World Labs for safety right now seems to block it off and make it a black square, maybe in the future

@levelsio

430,981 views • 1 year ago

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today. Follow CyrilXBT for more elite resources that build real depth the moment they drop.

STANFORD JUST PUT ITS ENTIRE ARTIFICIAL INTELLIGENCE CURRICULUM ON YOUTUBE FOR FREE. CS221. The same course that produced engineers now running AI labs, building frontier models, and getting paid $500,000 a year at the companies everyone is trying to work for. Most people have never heard of it. The ones who have are not telling you about it. Here is what the course actually covers: Search algorithms. The mathematical foundation behind every AI that finds optimal solutions in complex environments. Constraint satisfaction. How AI reasons through problems with thousands of interdependent variables simultaneously. Markov decision processes. The probabilistic framework behind every AI agent that makes sequential decisions under uncertainty. Machine learning from first principles. Not how to use sklearn. How the math actually works underneath it. Neural networks. Built from the ground up before jumping to applications. Logic and knowledge representation. How AI systems reason about the world formally. Natural language processing. The foundation of everything happening in LLMs right now. Robotics and computer vision. How AI perceives and acts in physical environments. Every concept that powers every AI product you use daily is in this curriculum. Not a surface level overview. The actual mathematics. The actual algorithms. The actual reasoning. This is what separates engineers who build AI from operators who use it. Stanford charged $60,000 a year for students to sit in this classroom. They put the whole thing on YouTube. Bookmark this before you open any other AI resource today. Follow CyrilXBT for more elite resources that build real depth the moment they drop.

CyrilXBT

54,956 views • 5 months ago

Just found an open-source tool that lets you see how well an AI can actually use a computer. it’s called OSWorld 2.0. you give the AI a real task on a computer, then watch to see if it can figure everything out and finish it. it gives you: → real computer tasks, not simple questions → tasks that can take many steps to finish → the same computer setup for every AI → websites made for testing → all the files and tasks for free this is also the environment used to test computer-use systems from OpenAI and Anthropic. so if you’re building AI agents, researching computer use, or just want to see what these models can actually do, you can run the same tests yourself instead of relying only on benchmark scores. the labs publish the scores. this repo is where the actual tests come from. bookmark this.

Just found an open-source tool that lets you see how well an AI can actually use a computer. it’s called OSWorld 2.0. you give the AI a real task on a computer, then watch to see if it can figure everything out and finish it. it gives you: → real computer tasks, not simple questions → tasks that can take many steps to finish → the same computer setup for every AI → websites made for testing → all the files and tasks for free this is also the environment used to test computer-use systems from OpenAI and Anthropic. so if you’re building AI agents, researching computer use, or just want to see what these models can actually do, you can run the same tests yourself instead of relying only on benchmark scores. the labs publish the scores. this repo is where the actual tests come from. bookmark this.

MIKE

14,387 views • 25 days ago

Starting my Scientist's AI course. Anchor your AI understanding in mathematics and science. This brings clarity to AI, earned mathematically. It will help you think, reason, and speak precisely about AI, going beyond the tools and buzzwords. Hosted on my education platform. Learners get: • Data visualization of lesson concepts • Study space for reviewing fundamentals • Technique articles for supplementary exercises • Forum for asking questions • Lesson slides • Take and save your own notes • Lesson transcripts • Lesson search & watch history • Watch progress (pick up where you left off) • Support Watch the first lesson for free here: If you're interested in joining, become a member here:

Starting my Scientist's AI course. Anchor your AI understanding in mathematics and science. This brings clarity to AI, earned mathematically. It will help you think, reason, and speak precisely about AI, going beyond the tools and buzzwords. Hosted on my education platform. Learners get: • Data visualization of lesson concepts • Study space for reviewing fundamentals • Technique articles for supplementary exercises • Forum for asking questions • Lesson slides • Take and save your own notes • Lesson transcripts • Lesson search & watch history • Watch progress (pick up where you left off) • Support Watch the first lesson for free here: If you're interested in joining, become a member here:

Sean McClure

22,064 views • 8 months ago

Google just did it again. They just launched "Google Skills" a free platform to turn anyone into an AI expert. 3,000+ courses, labs & certificates from Google Cloud, DeepMind, and Grow with Google all in one place. → Learn AI, data, and coding from real Google engineers → Earn credentials that actually get you hired → Build hands-on projects with Gemini Code Assist → Compete on global leaderboards and share your wins No paywalls. No BS. Just world-class AI education free. This might be the biggest AI upskilling move of the decade. 👉

Google just did it again. They just launched "Google Skills" a free platform to turn anyone into an AI expert. 3,000+ courses, labs & certificates from Google Cloud, DeepMind, and Grow with Google all in one place. → Learn AI, data, and coding from real Google engineers → Earn credentials that actually get you hired → Build hands-on projects with Gemini Code Assist → Compete on global leaderboards and share your wins No paywalls. No BS. Just world-class AI education free. This might be the biggest AI upskilling move of the decade. 👉

Alex Veremeyenko

41,961 views • 11 months ago

you're not spending too much on ai. you're getting too little back. everyone brags about token spend. nobody measures the return. spent a week with allyhub and it broke my brain a little. it browses the real web and does real work. no prompts. you click, it runs. and it's free right now.

you're not spending too much on ai. you're getting too little back. everyone brags about token spend. nobody measures the return. spent a week with allyhub and it broke my brain a little. it browses the real web and does real work. no prompts. you click, it runs. and it's free right now.

Hasan

10,796 views • 3 months ago

google just released 15 AI tools that are completely FREE and can save thousands of $$$ every single monthly. all open-source. MIT licensed. save this in your bookmark." 1️⃣ pomelli ( builds your entire brand identity from just your website URL, then generates on-brand social posts, campaigns, and images. a free jasper + a junior brand marketer. no watermark, no gen cap in beta. 2️⃣ stitch ( describe an interface, get production-ready HTML/CSS/Tailwind + a figma export. google's free figma killer. 350 designs a month without paying a cent. 3️⃣ opal ( build no-code AI mini-apps and multi-step workflows just by describing them in plain english. basically a free n8n with Gemini baked in. no usage caps. 4️⃣ antigravity ( agentic IDE that plans, edits across files, and builds full apps from a single prompt. the "cursor-killer," free tier runs Gemini 3 Pro + Claude Sonnet 4.5. 5️⃣ mixboard ( canva x pinterest for AI. generate and remix images into moodboards, then edit right on the canvas with plain language. free while in beta. 6️⃣ disco ( turns your messy open browser tabs into custom interactive AI apps. competitor tabs become a comparison matrix, travel tabs become an itinerary. zero code. 7️⃣ notebookLM ( upload PDFs, videos, and notes, get instant summaries, mind maps, quizzes, even a podcast of your own material. replaces notion AI + perplexity + readwise. 8️⃣ Learn Your Way ( turns any topic into a personalized, AI-built course. immersive text, audio lessons, mind maps, and quizzes adapted to how you actually learn. free tutoring. 🔟 Google AI Studio ( prototype and ship AI apps in seconds with a free API key and a 1M-token context window. replaces the openai playground + paid API credits. 1️⃣1️⃣ Jules ( assign it a github issue, it spins up a VM, writes a plan, makes the changes, and opens a PR. a free devin. 15 tasks a day. 1️⃣2️⃣ Gemini CLI ( claude-code in your terminal. reads your codebase, runs commands, ships PRs. genuinely open source (Apache 2.0) and free. 1️⃣3️⃣ Code Wiki ( point it at any public github repo, get a living, self-updating wiki with architecture diagrams and a Gemini chat, every section hyperlinked to the code. 1️⃣4️⃣ Firebase Studio ( AI cockpit for your backend and cloud logic. heads up: existing users only, google is winding it down, so don't start a new project here. 1️⃣5️⃣ Gemini Code Assist ( free github copilot: 180k code completions a month + AI code reviews in VS Code, JetBrains, and github. the free tier that actually out-specs copilot. Follow me and turn on 🔔 post notifications.

m0h

92,514 views • 2 months ago

Just tried the wildest AI agent I've seen in months It's called EvoX and it self-evolves every single time you use it Every task you complete, it extracts the useful pattern and saves it as a reusable skill. Next time a similar task comes up, it starts from what worked before, not from zero This is the future of AI agents. Here’s how it works 👇

Just tried the wildest AI agent I've seen in months It's called EvoX and it self-evolves every single time you use it Every task you complete, it extracts the useful pattern and saves it as a reusable skill. Next time a similar task comes up, it starts from what worked before, not from zero This is the future of AI agents. Here’s how it works 👇

Hasan Toor

25,741 views • 26 days ago

I challenged myself to build an AI-powered language learning app And ya, I built it using Adaptive AI. No coding. Just one detailed prompt and the AI turned my idea into a beautiful, functional app. Here's what it includes: ✨ AI language tutor 🗣️ Speaking practice 📚 Smart vocabulary review 🎯 Daily lessons & streaks 📈 Progress tracking 🌙 Clean, premium UI This is just the beginning. I'm documenting the entire process of building AI apps with prompts. Follow for more AI app builds. Comment "Learning" and I'll send you the full guide + complete Adaptive prompt via DM

I challenged myself to build an AI-powered language learning app And ya, I built it using Adaptive AI. No coding. Just one detailed prompt and the AI turned my idea into a beautiful, functional app. Here's what it includes: ✨ AI language tutor 🗣️ Speaking practice 📚 Smart vocabulary review 🎯 Daily lessons & streaks 📈 Progress tracking 🌙 Clean, premium UI This is just the beginning. I'm documenting the entire process of building AI apps with prompts. Follow for more AI app builds. Comment "Learning" and I'll send you the full guide + complete Adaptive prompt via DM

Hikaru

37,541 views • 2 months ago

this ad is 100% AI, now the only limit is your creativity with my ai content system it's possible to generate literally anything while keeping it visually indistinguishable from real video all you need is: - gpt-image-2 - kling 3.0 or Seedance 2.0 and 20mins of free time click below and do not miss on AI gold rush if you're a brand and need AI ads - you know who to DM

MAX

20,087 views • 4 months ago

This is the first open-sourced AI classroom. Not a chatbot that answers questions. A full classroom. It's called OpenMAIC. You type one topic. "Teach me quantum physics." Then it builds the whole thing for you: - An AI teacher who lectures out loud - AI classmates who ask questions and get called on - A whiteboard where the teacher draws diagrams and solves equations step by step - Interactive 3D simulations you can play with - Quizzes that grade you in real time The classmates are what got me. There's a roundtable mode where multiple AI agents with different personalities debate the topic while you watch. You learn from the argument, not the lecture. MIT licensed so free for anyone. You can export the whole lesson as PowerPoint or an interactive webpage and keep it. Repo:

This is the first open-sourced AI classroom. Not a chatbot that answers questions. A full classroom. It's called OpenMAIC. You type one topic. "Teach me quantum physics." Then it builds the whole thing for you: - An AI teacher who lectures out loud - AI classmates who ask questions and get called on - A whiteboard where the teacher draws diagrams and solves equations step by step - Interactive 3D simulations you can play with - Quizzes that grade you in real time The classmates are what got me. There's a roundtable mode where multiple AI agents with different personalities debate the topic while you watch. You learn from the argument, not the lecture. MIT licensed so free for anyone. You can export the whole lesson as PowerPoint or an interactive webpage and keep it. Repo:

Hasan Toor

23,811 views • 1 month ago