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Clawdemy

Production & Agents

Reinforcement learning, agents, ops, and shipping for real. 8 tracks · 94 lessons, in recommended order.

  1. Track 7

    Git Workflow: From Solo to Multi-Agent Teams

    Version control as collaboration infrastructure, from your first commit to coordinating AI agent teams on parallel branches.

    16 lessons ~5h Beginner
  2. Track 20

    AI Agents and Tool Use

    Give models tools, memory, and loops so they act, not just answer.

    11 lessons ~3h Intermediate
  3. Track 22

    Building with Claude

    Build real applications on the Claude API, step by step.

    12 lessons ~4h Intermediate
  4. Track 17

    Reinforcement Learning Foundations

    Agents, rewards, and policies: the foundations of reinforcement learning.

    10 lessons ~3h Intermediate
  5. Track 18

    Deep Reinforcement Learning

    Policy gradients, Q-learning, PPO, and the algorithms behind RLHF.

    18 lessons ~5h Advanced
  6. Track 21

    LLM Ops and Production

    Ship LLM apps: evaluation, deployment, monitoring, and cost.

    11 lessons ~3h Advanced
  7. Track 25

    Anatomy of an AI Agent Team: Inside a Real Multi-Agent System

    Read a real production multi-agent system's code and learn to build your own.

    8 lessons ~2h Advanced
  8. Track 26

    Engineering Agentic Systems

    The architect layer: configuration, tool design, orchestration, reliability.

    8 lessons ~2h Advanced

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