Machine Learning Crash Course — Google for Developers
machine-learningcoursegooglellmfairness
Abstraction: Google's free practical ML course with interactive modules
Key points:
- Free, self-paced course active since 2018 with millions of learners worldwide
- Modular structure: each module is independent so learners can skip to relevant topics
- Core ML models track covers regression, classification, categorical data (one-hot encoding, feature hashing, mean encoding), and feature crosses
- Advanced models track includes an LLM module covering tokens, transformers, and how LLMs predict text
- Real-world track covers productionization, automation, and ML fairness (bias auditing and mitigation)
- 2026 refresh added recent AI advances and increased interactive learning emphasis
Connections: Google · Machine Learning · Large Language Models · Fairness In ML
Source: https://developers.google.com/machine-learning/crash-course