Module 4 Agentic Roadmap

Agentic AI means systems that plan, call tools, observe results, and loop until a goal is met — not just answer once in chat. Your course Module 4 Chapter 2 focuses on this track.

Where to study in depth today

A full lesson path already exists under Module 2.9 Agentic AI & Multi-Agent Orchestration (tools, memory, multi-agent, orchestration). Use that for detailed reading and quizzes.

This 4.2 chapter is a short placeholder so Module 4 matches the course outline. Swap these stubs for your session notes when they unlock.

Outline to fill later

1. What makes an agent (perceive → reason → act → observe).
2. Tool calling and governance.
3. Single vs multi-agent patterns.
4. Human-in-the-loop and evaluation.

One-line summary

Module 4.2 is the course’s agentic chapter; study Module 2.9 for deep content until these stubs are expanded.

Key terms

• Agent — LLM-centered loop with tools and state.
• Tool calling — structured actions the model can request.
• HITL — human-in-the-loop checkpoints.