Agent Architectures: Deep understanding of ReAct, HTN, and multi-agent patterns

Framework Mastery: Hands-on with LangChain, LangGraph, AutoGen, and CrewAI

Implementation Patterns: Memory systems, tool integration, and state management

Code Examples: Production-ready Python and JavaScript implementations

Architecture Patterns: Scalable, maintainable agent system designs

Best Practices: Testing, debugging, and deployment strategies

Development Workflows: Code generation, testing automation, DevOps integration

Enterprise Solutions: Customer service, business process automation

Industry Use Cases: Financial services, healthcare, e-commerce applications

Performance Metrics: Measurement frameworks and success indicators

Optimization Techniques: Memory management, computational efficiency

Production Deployment: Scaling, monitoring, and maintenance strategies

Agenda and Learning Objectives