Class 17: Working with AI Agent Frameworks
Summary: Practical implementation of AI agents using industry-standard frameworks for real-world applications
Learning Objectives:
- Utilize established AI agent libraries effectively
- Design multi-step agent workflows
- Implement agent memory and state management
Key Topics:
- LangChain framework deep dive
- LlamaIndex for knowledge retrieval applications
- Smolagents and lightweight agent implementations
- Agent observability and debugging techniques
Activities:
- Build agents using multiple frameworks
- Agent framework comparison project
- Production-ready agent deployment exercise