Learn Agentic AI – Build Multi-Agent Automation Workflows

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

Requirements
None. Basic knowledge of Python helps, but it is also covered in the last section of the course as optional learning.

Description
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.  Even if you're new to this space, we start from the absolute basics—no prior knowledge of agent frameworks is required.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.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.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.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.This course uses Python Stack & Python basics has been thoroughly discussed in the last section of the course for brush up.

Who this course is for:
AI Engineers, QA Engineers, Developers, Software Engineers, Business Analyst /Managers