GoogleCloudPlatform/asl-ml-immersion

A curriculum repo of notebooks and samples from Google Cloud's internal ML bootcamp program, covering everything from classical ML to generative AI on GCP services. The content is structured around training exercises rather than production patterns, which limits how directly it transfers to building a real product. That said, it is one of the better organized first-party references for teams evaluating Vertex AI or trying to understand how GCP's generative AI services fit together, since the examples are written to be run, not just read. Reservation: the material is clearly bootcamp-oriented, so some notebooks are deliberately simplified for pedagogy rather than optimized for a production use case. Not a substitute for actual GCP documentation when building something real. Worth bookmarking if a team is evaluating GCP as an ML platform and wants worked examples beyond the official quickstarts. -> Best for: technical PM or AI engineer evaluating Google Cloud's ML and generative AI stack