Course Description:
This course covers the design and implementation of custom orchestration frameworks for AI agents. Learners will master microservices architecture, distributed state management, and event-driven communication while selecting and customizing frameworks for enterprise integration.

Lecture 1: Building Custom Orchestration Systems
Learn how to design orchestration systems that coordinate AI agents at scale. Explore microservices, message queuing, state management, and fault-tolerant recovery methods.

Key Objectives:

• Microservices architecture for AI agents
• Message queuing and event-driven systems
• State management across distributed agents
• Fault tolerance and recovery mechanisms

Lecture 2: Framework Selection & Customization
Evaluate and adapt orchestration frameworks to match enterprise needs. Learn how to use LangGraph, CrewAI, and custom-built solutions for multi-agent workflows.

Key Objectives:

• LangGraph: State machine management
• CrewAI: Team coordination patterns
• Custom framework development
• Integration with existing enterprise systems