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.