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📊 Lesson 3-5: Framework Survey

Coming Soon

This lesson is currently under development. We're working on comprehensive content covering:

- CrewAI, LangGraph, and AutoGen feature comparison
- Framework selection criteria and use cases
- Performance benchmarks and trade-offs
- Migration strategies between frameworks
- Best practices for each framework

**Want to contribute?** Check out our [GitHub repository](https://github.com/karthikkpro/ai-agent-engineer-course) or join our discussions!

Learning Objectives

  • Compare major multi-agent frameworks
  • Understand framework selection criteria
  • Evaluate performance and scalability
  • Choose the right framework for your use case

Key Topics

  • CrewAI: Crew-based orchestration, role management
  • LangGraph: State machines, DAG workflows
  • AutoGen: Conversational agents, group chats
  • Feature Matrix: Comprehensive comparison
  • Selection Criteria: When to use each framework

This lesson will be available soon. Stay tuned for updates!