Build Autonomous AI Agents with AutoGen & MCP –End-to-End Agentic AI Workflows with 6 Agents for Real-World Automation
What you'll learn
- Get a detailed understanding of LLMs, AI Agents, MCP, Multi-Agent Systems, and Agentic AI
- Build Multi Agentic workflows using Microsoft AutoGen Framework
- Develop Specialized Agents such as Jira Agent for Bug analysis, Playwright Agent for browser Automation, API Agent for testing, DB Agent for data analysis
- Build intelligent, autonomous AI agents that collaborate, self-correct, and execute complex tasks without constant human intervention
- Understand the power of Context Engineering to enable AI agents to work effectively toward defined goals
- Gain a thorough understanding of AutoGen framework concepts including Assistant Agents, human-in-the-loop collaboration, termination strategies, and state-savin
- Build an Agent Factory design pattern to create reusable specialized agents for multi-purpose use
- Get in-depth knowledge of MCPs and how their configurations are defined for real-world applications