Learn AI Agent in 2026
Eight podcast-style lessons on building AI agents — listen, read the transcript, take a quiz, then prove your understanding with the final exam.
AI Agent Architecture
Five core agent patterns: ReAct, Plan-and-Execute, Reflexion, and more.
Tools & Function Calling
How agents call external APIs: schemas, retries, error handling, and routing.
Memory & Context Management
Short-term vs long-term memory, RAG, vector stores, and the context window problem.
Planning & Task Decomposition
How agents break down goals, replan on failure, and track sub-tasks.
Multi-Agent Systems
Supervisor patterns, role-based agents, handoffs, and team topologies.
Evaluation & Testing
How to measure agent quality: golden trajectories, LLM-as-judge, and benchmarks.
Production & Operations
Observability, cost control, rate limiting, and human-in-the-loop patterns.
Safety & Guardrails
Prompt injection, sandboxing, policy enforcement, and red-teaming.
Final Exam
Complete 7 more lessons to unlock.