Learn Agentic AI – Build Multi-Agent Automation Workflows

<div>Welcome to the future of AI automation – Agentic AI with the AutoGen Framework. This course is your ultimate guide to building intelligent, autonomous AI agents that collaborate, self-correct, and execute complex tasks without constant human intervention.</div><div>&nbsp; Even if you're new to this space, we start from the absolute basics—no prior knowledge of agent frameworks is required.</div><div><br></div><div>You’ll start by mastering the core foundations – Large Language Models (LLMs), AI Agents, Multi-Agents, and the Model Context Protocol (MCP), which serves as the backbone for agent-to-tool communication. Next, you’ll learn how to engineer contexts and craft prompts that unlock the true potential of your AI agents.</div><div><br></div><div>Through hands-on projects, you’ll build real-world agents like Browser Automation Agents, Database Agents, API Agents, and Jira Agents. We’ll go beyond theory with advanced collaboration patterns, including multi-agent group chats, context-driven workflows, and automated validation.</div><div><br></div><div>By the end, you’ll have the skills to create production-ready agentic systems using the Agent Factory Pattern, empowering you to design reusable, scalable, and highly efficient AI workflows.</div><div><br></div><div>If you’re ready to level up from AI users to AI builders, this course will give you the tools and mindset to lead the next wave of AI innovation.</div><div><br></div><div>This course uses Python Stack &amp; Python basics has been thoroughly discussed in the last section of the course for brush up.</div>

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