Managing AI Agents: Leading Agentic Workflows and Teams

Organizations are rapidly shifting from simple AI assistants to autonomous AI agents that can plan, execute, and collaborate. To lead this transition, businesses need leaders who understand how to design, coordinate, and supervise these agentic systems. This comprehensive text-based course equips you with the foundational knowledge and strategic skills to manage AI agents and orchestrate human-AI collaboration. You will transition from a traditional manager to an AI-ready leader capable of aligning agent workflows with business goals. What you'll learn: - Understand core agentic AI terminology, foundational concepts, and the evolution of autonomous systems. - Design multi-agent workflows that leverage specialized roles, task delegation, and retrieval-augmented generation patterns. - Implement human-in-the-loop protocols to ensure safety, quality control, and ethical AI alignment. - Formulate strategic plans for deploying AI agents across customer service, operations, and product development. - Measure agent performance, optimize prompt frameworks, and address common failure modes in agentic systems. - Build a career roadmap as an AI team lead or manager in the rapidly evolving landscape of intelligent automation. The course begins with essential terminology and the foundational mechanics of how autonomous agents operate. You will then progress through practical architectural patterns, management frameworks, governance strategies, and real-world business use cases through detailed written analysis and conceptual exercises. Designed specifically for beginners, aspiring project managers, business leaders, and operations professionals, this course requires no programming experience or technical prerequisites. Start your journey today and prepare to lead the next generation of hybrid human-AI workforces.