Machine Learning Crash Course
by Google
Google's own fast, interactive intro to ML, with visualizations and hands-on exercises.
Overview
Google's Machine Learning Crash Course is a polished, self-paced introduction used internally to train Googlers. Recently modernized, it covers linear and logistic regression, generalization, neural networks, embeddings, and now includes modules on LLMs and responsible AI. Interactive widgets and Colab-based programming exercises make the concepts stick, and it's completely free.
At a Glance
- Topic
- ML
- Level
- Beginner
- Format
- Course
- Cost
- Free
- Duration
- ~15 hours
- Provider
- Hands-on
- Yes — code/exercises
- Certificate
- None
What You’ll Learn
- ✓Regression, classification, and generalization
- ✓Neural networks and embeddings
- ✓Fairness and responsible AI basics
- ✓Intro to how LLMs fit in
Highlights
- •Interactive visualizations
- •Recently updated with LLM content
- •Free and self-paced
Who It’s For
Best For
- ✓Beginners who want a fast, structured intro
Prerequisites
- •Basic Python
- •Intro algebra
FAQ
What is Machine Learning Crash Course?
A free, self-paced crash course from Google covering ML fundamentals with interactive visualizations and Colab exercises.
Is Machine Learning Crash Course free?
Machine Learning Crash Course is free to access.
What level is Machine Learning Crash Course for?
Machine Learning Crash Course is aimed at a beginner audience. Recommended background: Basic Python, Intro algebra.
How long does Machine Learning Crash Course take?
Expect roughly ~15 hours. Most learners work through it at their own pace.
What will I learn from Machine Learning Crash Course?
You'll learn: Regression, classification, and generalization; Neural networks and embeddings; Fairness and responsible AI basics; Intro to how LLMs fit in.