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.