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Learn Agentic AI – Build Multi-Agent Automation Workflows (Udemy.com)

Build Autonomous AI Agents with AutoGen & MCP –End-to-End Agentic AI Workflows with 6 Agents for Real-World Automation

Created by: Rahul Shetty Academy

Last updated February 2026

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What you will 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

How it compares

Against the other 281 rated Udemy courses in Software Testing on CourseDuck:

  • Rating4.6 out of 5higher than 71% of them
  • Reviews2,632#62 of 282 by number of reviews
  • Length9.9 hourslonger than 63% of them
  • Last updatedFebruary 2026more recently than 64% of them

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Course 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.

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Instructor Details

Rahul Shetty Academy

"Nothing is Impossible. It all depends on how we are Trained on it."

"Teaching is my Passion. And it's my Profession. The only Business I know is Spreading Knowledge."

I'm Rahul Shetty (aka- Venkatesh), a QA instructor with a 15-year track record. Over 1 Million QA professionals from 195 countries have taken my courses on Selenium, Playwright, AI Testing, Software Testing (Jira), API Testing, Cypress, Postman, Appium, JMeter, and more..."

I lead top QA initiatives both online and offline — through Rahul Shetty Academy, one of the leading EdTech platforms for QA training; QASummit, a premier offline conference brand; and RS TekSolutions, my software consulting firm. Together, these ventures have helped hundreds of thousands of students master testing and automation, transforming their careers as Automation Engineers


"Many QA professionals aspire to learn cutting-edge automation, but 90% abandon their goals. It's not a lack of courses, but finding the right mentor who understands the QA mindset and tailors their teaching accordingly."

"As a QA engineer with nearly two decades of experience, I get it. I've built my courses strategically, focusing on practical skills and career growth. I believe I've cracked the code for teaching automation testing, and I'm thrilled to share it with you."

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Reviews

4.6

2,632 ratings on Udemy

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By Johnnie Finkley on 7/29/2026

This course is so difficult to follow since the instructor isn't showing you how to setup all the pieces to the course you spend hours trying to setup the basic things you don't understand.

By Akshay G P on 7/28/2026

This is a very well-structured course for anyone who wants to learn MCP in a practical, hands-on way. The concepts are explained clearly, and the real-world examples make it easy to understand and apply the knowledge. I highly recommend this course to both beginners and professionals looking to build a strong foundation in MCP. Thank you Rahul!

By Vikram Singh Gurjar on 7/5/2026

⭐⭐⭐⭐⭐ Excellent course! Rahul Shetty Sir explains AutoGen, MCP, and Agentic AI concepts in a very clear and practical way. The hands-on projects and real-world AI agent workflows make learning engaging and valuable. Highly recommended for anyone looking to build autonomous AI agents. Thank you for another outstanding course!

By Chinmay Mehta on 5/31/2026

This is an excellent course for anyone looking to learn Agentic AI and Multi-Agent Systems from a practical perspective. The concepts of LLMs, AI Agents, MCP, Context Engineering, and Microsoft AutoGen are explained clearly with hands-on examples. I particularly enjoyed building specialized agents such as Jira, Playwright, API, and DB agents, which helped me understand real-world automation scenarios. The Agent Factory design pattern and multi-agent collaboration workflows were especially valuable. Rahul Shetty has structured the course well, making complex topics easy to understand and implement. I highly recommend this course to QA professionals, automation engineers, developers, and anyone interested in building autonomous AI agents and Agentic AI workflows.

By Ankur Singla on 4/15/2026

Very nice and informative sessions and buying almost all your trainings because you are providing all the information in detail and impressive way. Thank you for helping and growing us in the field of IT and AI.

By Sunil Kochher on 3/7/2026

Rahul Shetty is a super teacher. Love his way of teaching and explaining things very clearly, conceptually and in details. I loved this course.

By Ravinadh Babu ch on 3/1/2026

Overall good . Single agent , Multiple agents, Agent with Human, Save the conversation,Tool include in the Multi agent model.Thanks for the crystal clear explanation...

By Anandan Varadarajan on 2/23/2026

The instructor demonstrates deep knowledge and hands-on experience, covering all the essential concepts in a clear and structured manner. The course content is well thought out and highly practical. Overall, this is a very good course for anyone who wants to learn and build expertise in Agentic AI.

By Rohit on 2/13/2026

I started this course with no knowledge of AI, and after finishing this, I am confident that I will be able to perform well in Agentic AI at the professional level and evolve with the work. The approach of the instructor and the practical way of teaching his students is what I like about this course. Thank you so much for your hard work and for helping QA Engineers who are entering the AI world.

By Shubham Dhanraj Aware on 2/12/2026

The explanations are very clear and provide complete end-to-end coverage of the topics. Everything is explained in a structured way, and nothing feels entirely new or overwhelming — it connects well with the ongoing tasks we are already familiar with. There is no extra burden of learning unnecessary new skills. I really like the delivery approach, especially how each concept is properly linked to the next, which makes learning smooth and easy to follow.

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Overall Score : 92 / 100