Classes
Practical AI systems, taught from first principles to production.
Each track connects mental models, implementation, architecture, and the failure modes that matter in real systems.
First class
Conversational Analytics with Looker
Semantic modeling, data agents, instructions, verified queries, evaluation, APIs, and governance.
PlannedProduction Agent Engineering
ADK, MCP, A2A, registry-driven routing, reliability, HITL, state, and observability.
PlannedMathematical Foundations for ML
Linear algebra, probability, optimization, PCA, SVD, regression, embeddings, and neural networks.
PlannedProduction ML on GCP
Vertex AI pipelines, feature engineering, serving, batch inference, CI/CD, monitoring, and cost.