AI runs on data plumbing — readiness beats model choice
The data backbone for AI: quality, governance, pipelines, and unstructured data
Data, RAG & Agents
What enterprise architecture makes AI reliable, secure, and integrated?
The data backbone, build-buy-rent decisions, retrieval-augmented generation, and agentic workflows with autonomy ladders and human checkpoints.
Lessons in this module
Build, buy, rent, or open — sourcing is strategy, not procurement
APIs, platforms, and enterprise integration
RAG makes AI answer from your knowledge — if you govern the knowledge
Retrieval-augmented generation and knowledge systems
A model reads fragments, remembers nothing, and runs nothing — the rest is plumbing you own
Tokens, context and memory, tool calling, connectors and the five orchestration patterns
Agents act — so autonomy must be earned one rung at a time
AI agents and orchestration: from chat to workflows