Designing Multi-Agent Systems: Collaboration and Workflows

О курсе

"Master the design and orchestration of collaborative AI systems in this hands-on course on multi-agent workflows using CrewAI, Agno, Mem0, AutoGen, and LangGraph. You’ll learn how to move beyond single-agent prompting to build teams of coordinated AI agents that plan, execute, and review complex tasks together. Module 1 introduces the foundations of multi-agent coordination, role hierarchies (Planner, Executor, Reviewer), and the CrewAI framework for agent orchestration. Module 2 guides you through designing role-based workflows, implementing a Researcher–Writer–Editor content team, and analyzing coordination efficiency using CrewAI logs and metrics. Module 3 focuses on shared and private memory models using Mem0, covering context hand-off, synchronization, and memory performance tuning for multi-agent pipelines. Module 4 explores advanced orchestration with Agno, a real-world Customer Support automation case study, and comparative benchmarking of CrewAI, AutoGen, and LangGraph. By the end of this course, you will: - Build and orchestrate multi-agent workflows using CrewAI and Agno - Integrate shared memory with Mem0 for context-aware collaboration - Design role-based pipelines simulating human-style teamwork - Compare leading frameworks to choose the right stack for production"

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