AI Agents

Architecture, Implementation, and Practical Applications

Technical Architecture

Core components, ReAct patterns, memory systems, and planning engines

Tools & Frameworks

LangChain, AutoGen, CrewAI, and emerging development frameworks

Real-World Applications

Enterprise implementations, industry use cases, and ROI analysis

What You'll Learn

Build production-ready AI agents

Implement ReAct architecture patterns

Choose the right frameworks and tools

Design scalable agent systems

Deploy and monitor in production

Measure performance and ROI

Comprehensive Technical Deep Dive

29 Slides • Code Examples • Architecture Diagrams • Best Practices