AI Agent Concepts

Foundations of autonomous AI agents — reasoning, planning, memory, tool use, multi-agent systems, and safety.

Curriculum

A structured path through the course content.

What agents are, the agent loop, autonomy spectrum, and core building blocks.

Chain-of-thought, tree search, task decomposition, and planning strategies.

Working memory, long-term storage, retrieval, and context management.

Function calling, API integration, tool selection, and error handling.

Agent coordination, communication protocols, and collaborative architectures.

RAG, knowledge graphs, semantic search, and information synthesis.

Guardrails, sandboxing, permission systems, and failure modes.

Benchmarks, testing strategies, and quality assessment.

Deployment, monitoring, scaling, and production systems.

Emerging agent paradigms and frontier research.