In 2018, Google’s Engineering Education team released Machine Learning Crash Course, a free, online 15-hour self-study course that teaches fundamental machine learning (ML) concepts and principles. Our goal was to democratize access to machine learning knowledge, so anyone with a little bit of programming knowledge could develop the core skills necessary to become an ML practitioner.

Six years later, the landscape of artificial intelligence and machine learning has evolved significantly, with new technologies such as generative AI and large language models. But literacy in core ML concepts is still essential knowledge for anyone interested in building AI software, using AI tools or just better understanding how AI works.

To serve the needs of the next generation of AI developers and enthusiasts, we recently launched a completely reimagined version of Machine Learning Crash Course. The new course adds topics including large language models and AutoML, as well as expanded coverage of working with data and responsible AI.

With this update, we’ve also focused on making the course content more approachable and fun for beginners, incorporating a brand-new set of video explainers, interactive visualizations and real-world programming exercises.

The updated Crash Course now contains more than 130 exercise questions to test your knowledge. At the end of each module, you can take a quiz to test your knowledge and earn a badge of completion.

We're excited for you to dive into the improved Machine Learning Crash Course, whether you're just starting your ML journey or taking your skills to the next level. And we’d love to hear your feedback (click the “Send Feedback” button at the top of a course page to send us your comments).