Day 04 · AI & ML on Google Cloud
AI & ML — Pick a Module
Each module is a self-contained session. Start with the foundation.
Module 1 · Ready
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AI Foundations
Use case → Predictive vs Generative → the Google Cloud stack → how models learn → your first model in BigQuery ML.
Start Module 1 →
Module 2 · Ready
Generative AI
Foundation models & Gemini → prompts → grounding & tuning → AI agents → building agents on Google Cloud.
Start Module 2 →
Module 3 · Ready
AI Development Options
Four ways to build: pre-trained APIs, BigQuery ML, AutoML, and custom training — and how to choose.
Start Module 3 →
Module 4 · Ready
AI Development Workflow
The end-to-end ML lifecycle — data prep, training, evaluation, deployment, MLOps, and how a neural net learns.
Start Module 4 →