Learn Agentic AI – Build Multi-Agent Automation Workflows

The shift from standard Large Language Model applications to true Agentic AI marks a significant evolution in software engineering. This course serves as a comprehensive guide for professionals looking to move beyond simple chat-based interfaces by mastering the Microsoft AutoGen framework. Students dive deep into the architecture of multi-agent systems where individual, specialized agents collaborate to solve complex, multi-step problems autonomously. The curriculum meticulously covers the integration of the Model Context Protocol (MCP), enabling agents to interact with external data sources, databases, and web browsers effectively. Participants learn how to engineer context, define agent roles, and implement human-in-the-loop strategies that ensure accuracy without sacrificing speed. By building specific practical applications—such as a Jira-integrated bug analysis agent and a Playwright-powered browser automation tool—you gain hands-on experience in creating production-ready agentic workflows. This course empowers developers and automation engineers to design resilient AI systems capable of self-correction, state management, and orchestration, effectively bridging the gap between theoretical AI concepts and real-world industrial automation. It is a essential program for those aiming to future-proof their skill set in an era where autonomous workflows are becoming the standard for software and data operations.