During college, while doing a geophysics internship aboard an oil rig, I realized that software was the future—so I switched my major to computer science. After more than a decade working at Google, I had a similar moment where I realized that AI is the future of computer science. Today, I lead Google’s machine learning education effort, in the hope of making AI and its benefits accessible to everyone.
AI can solve complex problems and has the potential to transform entire industries, which means it's crucial that AI reflect a diverse range of human perspectives and needs. That’s why part of Google AI’s mission is to help anyone interested in machine learning succeed—from researchers, to developers and companies, to students like Abu.
To help everyone understand how AI can solve challenging problems, we’ve created a resource called Learn with Google AI. This site provides ways to learn about core ML concepts, develop and hone your ML skills, and apply ML to real-world problems. From deep learning experts looking for advanced tutorials and materials on TensorFlow, to “curious cats” who want to take their first steps with AI, anyone looking for educational content from ML experts at Google can find it here.
Learn with Google AI also features a new, free course called Machine Learning Crash Course (MLCC). The course provides exercises, interactive visualizations, and instructional videos that anyone can use to learn and practice ML concepts.
Our engineering education team originally developed this fast-paced, practical introduction to ML fundamentals for Googlers. So far, more than 18,000 Googlers have enrolled in MLCC, applying lessons from the course to enhance camera calibration for Daydream devices, build virtual reality for Google Earth, and improve streaming quality at YouTube. MLCC's success at Google inspired us to make it available to everyone.
There’s more to come from Learn with Google AI, including additional courses and documentation. We’re excited to help everyone learn more about AI.
