Agentic AI for QA and SDET: Build Autonomous Test Automation | RCV Academy

Agentic AI for QA and SDET: Build Autonomous Test Automation

Master Multi Agent Autonomous AI Workflows for Intelligent QA and Test Automation with Microsoft Agent Framework

👥 52,000+ Students
⭐ 4.5 Star Rating
✓ Lifetime Access
★★★★★ 5,000+ Reviews
🎓 Beginner to Advanced

About This Course

I have been doing QA automation for over 20 years. I started at IBM, moved to organizations like Infosys, ANZ, NAB, and Capgemini, and I watched the same thing happen over and over. Teams spend weeks writing test cases by hand, running them manually, triaging bugs in spreadsheets. It is tedious. It does not scale. With AI, it does not have to be that way. This course teaches you how to build AI systems that do that work for you. Real systems. Production ready systems using the Microsoft Agent Framework that you can deploy and use.

You will build two hands on projects. Project 1 is a Bug and Defect Triage Agentic AI Solution. You build an AI system that reads your Jira tickets, understands what the bug is, figures out how serious it is, and assigns it. It learns from the decisions you make and gets better over time. Project 2 is a Test Analysis to Automation Script Creation Agentic AI Pipeline. A user story comes in, the agent reads it, generates edge cases, and writes Playwright tests. The whole flow. You learn how to get multiple AI agents working together instead of against each other.

The hard part about agentic AI is not the AI part. It is getting multiple agents to coordinate. I spent months debugging race conditions in the Microsoft Agent Framework, figuring out why GroupChat was failing, solving orchestration problems. That is what this course teaches. The real stuff that makes it work. You learn the foundations fast. Then you build. Jira integration, Playwright, all woven together with Python.

You also see where things go wrong and how to fix them. That is the difference between a tutorial that leaves you hanging and one that actually prepares you. By the end you will know how AI agents actually work, how to use Microsoft Agent Framework inside and out, how to build sequential and GroupChat orchestration patterns, how to connect to Jira and pull real data, and how to generate test cases with AI that actually make sense.

What You'll Learn

AI Agents and LLMs

Learn how AI agents work, what LLMs are and why orchestration matters with multiple agents, and when agents beat traditional automation. Understand the foundations before you start building.

Multi Agent Orchestration

Build sequential patterns, GroupChat coordination, and human in the loop approval gates you actually control. Learn how to get multiple agents working together reliably instead of fighting each other.

Project 1: Bug Triage Agent

Connect to Jira and build an agent that reads bugs, auto classifies severity, assigns work, and improves over time. A complete end to end agentic system you can deploy to a real QA team.

Project 2: Test Automation Pipeline

Extract requirements from user stories, generate one liner scenarios, detailed test cases, and write Playwright tests automatically. The full pipeline from Jira story to running script.

Tool Integration

Set up Jira MCP integration, Playwright automation, pull user stories from Jira, create Playwright scripts, and save them with Filesystem MCP. Real tool connections, not toy examples.

Microsoft Agent Framework

Set up the framework, build your first agent, debug agent behavior, and handle errors in workflows. Learn the tool that makes enterprise grade multi agent systems possible for QA teams.

Meet Your Instructor

Manish Verma - Instructor

Manish Verma

Founder & Senior QA Architect | Microsoft Agent Framework and Agentic AI Expert

20+ years of QA and project management experience, with deep hands on expertise in agentic AI, Microsoft Agent Framework, multi agent orchestration, and building autonomous test automation systems for enterprise QA environments

Manish is the founder of RCV Academy and a recognized leader in software testing and QA education. With extensive experience delivering QA programs across IBM, Capgemini, and multiple enterprise environments, he brings practical testing knowledge grounded in real projects, not just textbook theory.

His teaching approach is practical and outcome focused. He simplifies complex topics like agentic AI, multi agent orchestration, and LLM based test automation into clear, actionable lessons that testers at every level can apply immediately. Over 225,000 students trust his content across multiple platforms, making him one of the most recognized QA and AI educators in the industry.

Choose Your Learning Plan

Start learning today with flexible pricing options designed for every budget and commitment level.

Monthly

Start with flexibility

$5.99/month

Cancel anytime. First payment is non refundable.

  • 17 hours of content
  • Lifetime access
  • All course materials
  • Certificate included
  • Cancel anytime

One Time

Best value for commitment

$29.99once

Own it forever with no recurring charges

  • 17 hours of content
  • Lifetime access
  • All course materials
  • Certificate included
  • 30 day guarantee
Most Popular

Lifetime

Ultimate value package

$99once

Access all courses + future releases

  • All RCV Academy courses
  • Lifetime updates
  • All new courses included
  • Priority support
  • 30 day guarantee

What You Need

Course Requirements

  • QA automation fundamentals (you have written test cases or automation scripts before)
  • Basic command line and terminal skills
  • Python basics (explained in the course if you are new to Python programming)

Frequently Asked Questions

What is agentic AI and how is it different from regular AI tools like ChatGPT? +
Agentic AI refers to AI systems that can take actions, make decisions, and complete multi step tasks autonomously. Unlike ChatGPT where you type a prompt and get a response, agentic AI systems run workflows, connect to external tools like Jira, and coordinate multiple agents to complete an entire task from start to finish. This course shows you how to build those kinds of systems for QA work.
How much Python do I need to know? +
Python basics are explained in the course if you are new to it. You should be comfortable with variables, functions, and basic control flow. The course is not about teaching you Python from scratch, but the Python you need for agentic AI is explained as part of the lessons. If you have written any test automation scripts before, you have more than enough to get started.
What is the Microsoft Agent Framework? +
The Microsoft Agent Framework (also known as AutoGen) is an open source framework for building multi agent AI systems. It lets you define agents with specific roles, wire them together into workflows, and control how they communicate and hand off tasks. It is one of the most mature and widely adopted frameworks for building the kind of agentic AI systems this course covers.
Does the course cover Jira integration? +
Yes. Jira integration is central to both projects in the course. You will connect to Jira using MCP, pull user stories and bug tickets into your agents, and have agents write back to Jira with classifications and assignments. The course treats Jira as a real production tool, not a demo placeholder.
What projects will I build? +
You will build two complete agentic AI projects. First, a Bug and Defect Triage Agent that connects to Jira, reads incoming tickets, classifies severity, assigns them, and learns from feedback over time. Second, a Test Automation Pipeline where a user story comes in and agents generate scenarios, detailed test cases, and working Playwright scripts automatically. Both projects are real systems you can adapt and deploy.
How long is the course and how should I pace myself? +
The course contains 17 hours of on demand video content plus 4 articles and 4 downloadable resources. Most students complete it over three to four weeks, spending a few hours each week building and testing each project section. You can go at your own pace and revisit any lesson as many times as you need. Your access never expires.

Who This Course Is For

QA Engineers and Test Automation Engineers

Who want to go beyond running scripts and start building autonomous AI systems that handle the tedious work of bug triage, test case generation, and automation scripting without constant human input.

SDETs (Software Development Engineers in Test)

Who are ready to add multi agent orchestration to their skill set and want hands on experience building the kind of agentic pipelines that enterprise QA teams are starting to demand from senior automation engineers.

QA Team Leads and QA Managers

Who want a practical, hands on understanding of agentic AI so they can evaluate tools, guide their teams through adoption, and make real decisions about where autonomous AI fits in their current QA processes.

Test Automation Architects

Who need to understand how multi agent frameworks, orchestration patterns, and tool integrations like Jira MCP and Playwright fit together so they can design scalable autonomous QA systems for larger engineering organizations.

Developers Curious About AI in QA

Who want to explore how agentic AI applies to testing and quality assurance, and who are interested in building real systems using Python, Microsoft Agent Framework, and Playwright rather than just reading about the concepts.

30 Day Money Back Guarantee

Your satisfaction is guaranteed. Enroll risk free. If the course is not what you expected within 30 days, get a full refund with no questions asked. We are this confident you will love it.

Course Curriculum

© 2026 RCV Academy and Software Testing Mentor