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AI Agents

Make models that decide, plan, and act — not just answer.

From simple tool calls to multi-step planning agents. ReAct, MCP, memory, multi-agent patterns, safety, and how to evaluate agents that don't have a single "right answer". The path that takes you from prompt → autonomous workflows.

Start pathCertify on CertQuests

9h

Duration

10

Lessons

3.1k

Learners

Path map

Lessons unlock as you complete the previous one. Your progress is saved on this device.

  1. Lesson 1

    What an AI agent actually is — and what isn't

    9m35 XP

  2. Lesson 2

    ReAct — Reason + Act + Observe

    11m45 XP

  3. Lesson 3

    Tool use done right

    11m45 XP

  4. Lesson 4

    Planning — single-step vs multi-step

    10m40 XP

  5. Lesson 5

    MCP and the rise of agent protocols

    10m40 XP

  6. Lesson 6

    Memory — short-term, long-term, none

    9m35 XP

  7. Lesson 7

    Multi-agent — when worth it

    9m35 XP

  8. Lesson 8

    Agent safety and guardrails

    11m45 XP

  9. Lesson 9

    Evaluating agents

    11m45 XP

  10. Lesson 10

    Capstone — design a research agent

    14m70 XP