Data Engineering With GCP Chapter 8 Part 2: Vertex AI, AutoML, and ML Pipelines
Part 1 covered the ML basics: what supervised and unsupervised learning are, how a simple model gets trained, and why data engineers should care about ML at all. Now in Part 2, Adi Wijaya moves into the GCP tools that make ML actually work in production. This is where theory meets infrastructure.