Click each week to expand and see full multi-agent sessions, team building, and AI society projects
Introduction to multi-agent systems and agent communication
Build a 3-agent research team: researcher, writer, and editor. Each agent has specialized role. Complete a research task collaboratively.
Deliverable: Working agent team + research output + collaboration logs
Implement the same multi-agent task using CrewAI and AutoGen. Compare ease of use, performance, and results.
Deliverable: Comparison report + code for both implementations
Choose your multi-agent system project: software development team, content production pipeline, customer service network, or research collective. Define agent roles and interactions.
Complex coordination patterns and agent orchestration
Advanced coordination mechanisms, hierarchical agents, supervision patterns...
Creating agents with specific skills and expertise
Role specialization, skill definition, expert agents, domain-specific agents...
Handling disagreements and building consensus mechanisms
Conflict resolution strategies, voting mechanisms, consensus building...
Scaling to 10+ agents and complex interactions
Scaling strategies, performance optimization, large agent networks...
Self-organizing systems and swarm intelligence
Emergent behaviors, swarm intelligence, self-organization...
Monitoring, scaling, and maintaining agent societies
Production deployment, monitoring, error handling, maintenance...
Final multi-agent system and AI Mastery Course graduation
Due: End of Week 36
Complete multi-agent AI society (10+ agents) with: Specialized roles, communication protocols, coordination mechanisms, production deployment, monitoring dashboard, and comprehensive documentation.
🎓 AI Mastery Course Completion!
Congratulations on completing all 5 levels of the AI Mastery Course. You are now an AI expert capable of building autonomous, intelligent systems.
Create collaborative agent teams that solve complex problems
Join Waitlist - Save 35% →