Lilly Tech Systems
Multi-Agent System Architecture
Architect multi-agent AI systems with orchestration, tool use, memory, and scalable communication patterns.
Course Lessons
Follow these lessons in order for a complete understanding of multi-agent system architecture.
1. Multi-Agent Overview
Learn about multi-agent overview in the context of multi-agent system architecture.
2. Agent Communication Patterns
Learn about agent communication patterns in the context of multi-agent system architecture.
3. Orchestrator Architecture
Learn about orchestrator architecture in the context of multi-agent system architecture.
4. Tool-Using Agent Design
Learn about tool-using agent design in the context of multi-agent system architecture.
5. Memory Architecture for Agents
Learn about memory architecture for agents in the context of multi-agent system architecture.
6. Scaling Agent Systems
Learn about scaling agent systems in the context of multi-agent system architecture.
7. Agent Architecture Patterns
Learn about agent architecture patterns in the context of multi-agent system architecture.
What You'll Learn
By the end of this course, you will be able to:
Understand Core Concepts
Gain deep understanding of the principles and patterns that define multi-agent system architecture.
Apply in Practice
Implement real-world solutions using the architectural patterns and code examples from each lesson.
Make Architecture Decisions
Evaluate trade-offs and choose the right approaches for your specific requirements and constraints.
Build Production Systems
Design and implement production-ready AI systems that are reliable, scalable, and maintainable.