AI Engineer Agentic Track: The Complete Agent & MCP Course

Ed Donner

Ed Donner is a distinguished technology executive, entrepreneur, and educator dedicated to bridging the gap between cutting-edge artificial intelligence and real-world implementation. With decades of experience leading high-performing engineering teams in investment banking—notably serving as a Managing Director at Morgan Stanley—and co-founding the AI-driven recruitment platform untapt, Ed brings a rare blend of deep technical mastery and strategic business acumen to his courses. His teaching philosophy centers on dismantling complex AI concepts, such as agentic workflows, Model Context Protocol (MCP), and large language model architectures, into highly practical, production-ready frameworks. Whether guiding software engineers in building robust multi-agent systems or helping founders and corporate leaders navigate the strategic landscape of generative AI, Ed focuses on immediate applicability and architectural best practices. His hands-on, code-first instruction style empowers developers to write clean, scalable agentic code, while his leadership curriculum provides executives with the pragmatic mental models required to drive genuine business value. Through his structured tracks, Ed ensures that his students do not just understand AI theoretically but possess the tangible skills to build, deploy, and lead in the modern agentic era.