Multi-Agent Systems: Collaborative AI Architectures

In the evolving landscape of artificial intelligence, single-prompt interactions are giving way to sophisticated networks of specialized agents working together. This course provides a clear path into the world of agentic workflows, showing you how to move beyond simple chatbots toward integrated systems. You will transition from understanding basic AI interactions to designing collaborative environments where multiple agents communicate, reason, and execute complex goals autonomously. Through this text-based curriculum, you will: Understand the foundational definitions and core components of autonomous AI agents; Analyze different communication protocols and coordination strategies for agent groups; Explore agentic design patterns such as reflection, planning, and tool-use; Apply retrieval-augmented generation (RAG) principles within multi-agent environments; Practice designing task-specific workflows that leverage the strengths of specialized agents; Evaluate safety, ethics, and control mechanisms in decentralized AI systems. The course begins with essential terminology and the architecture of individual agents before progressing to complex interaction patterns and modern orchestration techniques. This program is designed for beginners and tech-curious professionals interested in the next frontier of AI automation, requiring no prior experience with agentic frameworks. Start building the foundations of collaborative AI today.