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AI Courses Across the Web
Learn directly from the companies building AI — handpicked free and paid programs from the world's leading AI labs, universities, and platforms.
Google for Developers
Machine Learning Crash Course
Google's own ML training with TensorFlow. 25 lessons, 40+ exercises, and real case studies from Google products. Covers gradient descent, neural networks, and fairness in ML.
DeepLearning.AI
DeepLearning.AI
ChatGPT Prompt Engineering for Developers
Andrew Ng and OpenAI's Isa Fulford co-teach prompt engineering fundamentals. Covers iterative prompting, summarization, inference, transformation, and expanding with GPT-4.
NVIDIA Deep Learning Institute
NVIDIA
Generative AI Explained
NVIDIA's Deep Learning Institute covers the foundations of generative AI — how diffusion models, GANs, and LLMs work under the hood, with GPU-accelerated examples.
Microsoft
Microsoft
Generative AI for Beginners
Microsoft's 21-lesson GitHub course teaching core generative AI concepts from LLMs to building real applications. Open source, with code examples in Python and TypeScript.
fast.ai
fast.ai
Practical Deep Learning for Coders
Jeremy Howard's legendary top-down course. No fluff — you train real image classifiers, NLP models, and diffusion models from day one. Used by thousands of AI practitioners worldwide.
Hugging Face
Hugging Face
NLP Course
The definitive open-source NLP course. Master transformers, fine-tuning BERT and GPT models, tokenizers, and deploying models to the Hugging Face Hub — all with hands-on notebooks.
Stanford / Coursera
Coursera
Machine Learning Specialization
Andrew Ng's world-famous 3-course specialization. Supervised learning, unsupervised learning, recommender systems, and reinforcement learning — the gold standard ML curriculum.
Anthropic
Anthropic
Anthropic's Prompt Engineering Guide
Anthropic's official interactive guide to mastering Claude. Covers prompt structure, system prompts, advanced techniques like chain-of-thought and XML formatting for production AI apps.
OpenAI
OpenAI
OpenAI Academy
OpenAI's official learning hub covering GPT-4o, Assistants API, function calling, embeddings, and fine-tuning. Essential reading for anyone building on the OpenAI platform.
MIT OpenCourseWare
MIT
Introduction to Deep Learning
MIT's flagship deep learning course — 6.S191. Covers RNNs, CNNs, generative models, reinforcement learning, and deploying neural nets. Full lecture recordings and labs freely available.
AWS / DeepLearning.AI
AWS
Generative AI with Large Language Models
A deep, technical 3-week course by AWS and DeepLearning.AI. Covers the full LLM lifecycle: pre-training, fine-tuning, RLHF, and deploying to AWS infrastructure at scale.
Meta AI
Meta
Llama Recipes & Fine-Tuning Hub
Meta's official Llama learning resources — from getting started with Llama 3 to advanced fine-tuning recipes, multimodal use cases, and integrating Llama into production applications.
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