Multi AI Agent Systems with crewAI - Syllabus

• Introduction
  • Overview of multi-agent systems with crewAI
  • Course objectives and key concepts
• Overview
  • Understanding AI agents and multi-agent systems
  • Key principles for designing effective agents
• AI Agents
  • Assigning roles, goals, and backstories to agents
  • Code examples for creating research and writing agents
• Create Agents to Research and Write an Article
  • Using crewAI for content creation and editing
  • Building a team of agents for article writing
• Key Elements of AI Agents
  • Understanding roles, memory, tools, and focus
  • Code examples for multi-agent customer support automation
• Mental Framework for Agent Creation
  • Defining goals and memory functions for agents
  • Conceptualizing multi-agent tasks
• Key Elements of Agent Tools
  • Assigning pre-built and custom tools to agents
  • Example: Tools for a customer outreach campaign
• Key Elements of Well-Defined Tasks
  • Breaking down tasks for better multi-agent collaboration
  • Example: Automating event planning with agents
• Multi-Agent Collaboration
  • Strategies for agent cooperation: series, parallel, hierarchical
  • Code example: Financial analysis with multi-agent systems
• Build a Crew to Tailor Job Applications
  • Using agents for resume tailoring and interview prep
  • Practical code examples for job application tasks
• Next Steps with AI Agent Systems
  • Advanced multi-agent systems with crewAI
  • Guidelines for designing complex agent systems
• Conclusion
  • Summary of key concepts and course takeaways
  • Next steps and certification details
• Next Step: Build Advanced Multi AI Agent
  • Advanced code examples for creating complex agents