Lecture Video

https://www.youtube.com/watch?v=d6X1ttDML5w

Lecture Slides

Section 1: Agentic AI

Section 2: LLM Foundations for Agents

Section 3: Agent Architecture and Execution Patterns

Section 4: Tool Calling, Actions and MCP

Section 5: Context, Memory and State

Section 6: RAG and Knowledge for Agents

Section 7: Agent Workflows and Multi-Agent Systems

Section 8: Reliability and Failure Handling

Section 9: Security and Guardrails

Section 10: Evaluation and Observability

Section 11: Production: Scale, Latency and Cost

Section 12: Complete Agent Design and Interview Playbook

Section 13: Bonus: Building a Production-Ready Agent in Pythonon 13