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🎯🦞

Learning Path

A structured curriculum to master autonomous AI agents. Four levels, from fundamentals to complex multi-agent systems.

📚4 levels
⏱️~15 hours total
🎯Hands-on projects

The Curriculum

Each level builds on the previous one. Start with Foundation if you're new to AI agents.

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Level 1

Foundation

Beginner

Understanding AI Agents

Learn what AI agents are, how they differ from traditional automation, and the core concepts behind autonomous systems.

What are AI agents?Autonomy vs automationThe agent loopWhen to use agents
2-3 hours
Start Foundation
🔧
Level 2

Implementation

Intermediate

Building with OpenClaw

Hands-on configuration and deployment. Set up your first agents and learn the OpenClaw configuration patterns.

OpenClaw architectureSOUL.md configurationAgent personasMemory systems
3-4 hours
Start Implementation
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Level 3

Optimization

Advanced

Making Agents Smarter

Advanced prompting, error handling, and continuous improvement. Learn to build agents that get better over time.

Advanced promptsError recoveryFeedback loopsPerformance tuning
4-5 hours
Start Optimization
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Level 4

Mastery

Expert

Multi-Agent Systems

Complex architectures with multiple agents working together. Orchestration, delegation, and enterprise patterns.

Agent orchestrationMulti-agent communicationEnterprise patternsScaling strategies
5-6 hours
Start Mastery

By the end, you'll be able to:

✓Build autonomous agents that handle complete business operations
✓Design self-healing loops that recover from failures automatically
✓Configure multi-agent systems with proper orchestration
✓Implement advanced memory and context management
✓Deploy agents in production with monitoring and logging
✓Scale from single-agent to enterprise multi-agent architectures

Ready to start learning?

Begin with the Foundation level. No prior experience with AI agents required.

🚀 Start with Foundation