Learn about the real architecture behind modern AI.
Each module builds on the last. Start with how agents are structured, then layer in retrieval, connectivity, and dynamic specialization.
From single agents juggling tools to orchestrators directing fleets of specialists. Learn the tradeoffs between swarms, pipelines, and hierarchies.
Retrieval-Augmented Generation grounds your LLM in real data. Explore chunking, embeddings, vector stores, and advanced retrieval strategies like HyDE and re-ranking.
MCP is the universal plug standard for AI. Learn how tools, resources, and prompts are exposed through a unified interface that any agent can consume.
Skills let a single agent load specialized knowledge on demand, like progressive disclosure for agent capabilities. A lightweight path to multi-agent power.