Google publishes some of the highest-quality free AI material on the internet. DeepMind adds research-grade depth. Here's our pick.
Great starting points — Google's intro courses are interactive and free.
Google · Coursera
Self-paced course teaching anyone how to use AI tools at work. Practical prompting, productivity, responsible use.
Google for Developers
Google's classic free ML course with videos, interactive visualizations, and TensorFlow exercises. Recently updated.
Google Cloud Skills Boost
Bite-sized course explaining what GenAI is, how LLMs work, and Google Cloud tools to build with.
Kaggle (Google)
Hands-on micro-courses with notebooks you run in-browser. The fastest practical intro to ML in Python.
Gemini-specific resources and learning paths for Google Cloud's GenAI stack.
Google Cloud Skills Boost
A 10-course learning path covering LLMs, image generation, responsible AI, attention models, and applications.
Google AI for Developers
Official docs to start building with Gemini — Python & JS, multimodal, function calling, system instructions.
Kaggle (Google)
Neural network basics with Keras / TensorFlow. Comes after Intro to ML and pairs well with Andrew Ng's specialization.
Kaggle × Google
A community-built but Google-aligned 5-day intensive covering embeddings, RAG, agents, fine-tuning with Gemini.
For students who want to go deep into reinforcement learning and the science behind modern AI.
DeepMind · YouTube
David Silver's lectures on RL — still the gold-standard introduction to the field that produced AlphaGo.
DeepMind · YouTube
A modern survey of deep learning from DeepMind researchers — CNNs, transformers, generative models, RLHF.
Google Research / DeepMind
Read the source. Follow the original papers and blog posts — Transformers, AlphaFold, Gemini, Veo, and beyond.