Gen AI Architect Course Overview

After this course you'll understand:

• Standing up the lab – Choosing Granite 4 Tiny, serving it through Ollama, launching Bionic with Docker Compose, and validating the model hookup.
• Tool-call fundamentals – How assistants request deterministic tools, how the UI mediates the workflow, and how to debug payloads end-to-end.
• Enterprise integrations – Connecting MCP services such as Postgres, importing OpenAPI specs, and attaching those capabilities to assistants safely.
• Agentic RAG pipelines – Surfacing datasets, files, and ad-hoc documents as tools so every response cites grounded knowledge.
• Operations on Kubernetes – Installing K3s, contrasting Compose vs. cluster deployments, and promoting the stack via the Bionic CLI.
• Prompt engineering discipline – Layering system/developer/user prompts while iterating through the /api/chat endpoint.