Multi-Agent Systems and Orchestration

The Multi-Agent Systems and Orchestration course teaches learners how to design and coordinate AI agents that work together as collaborative systems. Starting with the OpenAI Agents SDK, participants explore how to structure planner–executor architectures, enabling agents to break down complex tasks into coordinated subtasks. The course emphasizes orchestration strategies such as multi-agent collaboration, workflow delegation, and state sharing across agents, supported by design principles for efficiency and reliability. Learners also examine observability and monitoring techniques to track agent decisions, as well as fault tolerance strategies to handle errors gracefully in production settings. Advanced modules introduce hybrid human–agent workflows, parallel execution patterns, and enterprise-level orchestration for scalability. Through hands-on labs and guided projects, learners will build an Automated Research Team, demonstrating how multiple agents can gather information, analyze data, and synthesize findings. By course completion, participants will have the skills to design multi-agent systems that deliver scalable, reliable, and coordinated AI-driven solutions.