Teaching ML and AI to Coders
summary
Explains a concrete program: a TensorFlow syllabus turned into three MOOCs (with deeplearning.ai), a YouTube channel, hands‑on codelabs, university partnerships and bootcamps — Bangkit academy (300 students) and employer‑backed cohorts — that aim to scale developers into ML practitioners. Claims measurable reach: about 600,000 learners on the specializations, an employment-oriented developer certificate with ~1,200 holders, and direct deployment tooling (TensorFlow mobile, JS, embedded) to move models from code to production.
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chapters (9)
- 0:00Intro
- 0:58The Life Cycle Curve
- 2:45The number of AI practitioners
- 4:39Making AI easy
- 14:23Results
- 22:34TensorFlow vs PyTorch
- 24:48Practice Practice Practice
- 27:18How to Get Started
- 29:48Questions
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