Advanced AI Agents & Multi-Agent Systems
Master production-grade multi-agent systems and autonomous workflows
Who Should Take This Course
Experienced developers, AI engineers, and researchers who have built basic agents and want to master advanced architectures and production-grade multi-agent systems.
Prerequisites
Strong programming skills, prior experience building AI agents, understanding of async programming and distributed systems. Completion of Coding Agents course or equivalent experience required.
Advanced Curriculum
13 advanced topics for production-grade multi-agent systems
Advanced Agent Architectures
Multi-Agent Coordination and Collaboration
Communication Protocols and Message Passing
Agent Hierarchies and Organizational Structures
Specialized Agent Types
Custom Tool and Function Creation
Long-term Memory and Knowledge Management
Continuous Learning and Adaptation
Orchestration Patterns and Workflows
Advanced Error Handling and Recovery
Security in Multi-Agent Systems
Performance Optimization and Scaling
Comprehensive Evaluation Frameworks
Mastery Outcomes
Advanced Projects
Project 1: Multi-Agent Collaboration System
Build a system where multiple specialized agents collaborate to solve complex problems. Implement task delegation, coordination, and result synthesis.
Project 2: Hierarchical Agent Organization
Create a hierarchical agent system with manager agents coordinating worker agents. Implement escalation, load balancing, and organizational patterns.
Project 3: Autonomous Workflow System
Design an autonomous system that plans and executes complex workflows without human intervention. Handle dynamic replanning and error recovery.
Final Project: Production Multi-Agent Application
Build a complete production-ready multi-agent application for a complex domain. Include monitoring, scaling, security, and comprehensive evaluation.
Ready to Master Multi-Agent Systems?
Join this advanced course and build production-grade multi-agent systems that solve complex real-world problems.