Generative AI and AI Agents for QA: Complete SDET Masterclass | RCV Academy

Generative AI and AI Agents for QA: Complete SDET Masterclass

Become an AI QA/SDET. Master Copilot, Claude Code, MCP, and n8n to build advanced multi agent systems and QA agents.

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About This Course

QA is changing fast. The engineers who thrive in the next few years will not just be the ones who know how to automate. They will be the ones who know how to build systems that automate the automation. This course is not a tutorial on prompting ChatGPT to write test cases. It is a hands on, ground up guide to embedding Generative AI into the way you actually work, from the first requirement all the way to the final bug report.

You start by learning how Generative AI actually works and why the details matter for testing. From there you get into prompting techniques like Few Shot and Chain of Thought that produce consistent, reliable outputs. Then you move into the tools reshaping the industry right now: GitHub Copilot for rapid scripting, Claude Code for refactoring entire codebases from your terminal, and n8n for wiring together AI powered testing pipelines that connect your agents directly with Jira.

A big part of the course is the Model Context Protocol, one of the most significant developments in applied AI today. MCP lets you give large language models direct, secure access to your code, databases, and test environments. You will build your own Claude tools so the AI plugs into your environment and acts within it, not just alongside it.

By the end you will have built production grade AI agents that read requirements, generate test scripts, chase down failures, and file bugs without you watching over them. You will not just be someone who uses AI to test software. You will be someone who builds the agents doing the testing. That is a very different career trajectory.

What You'll Learn

Generative AI Foundations for QA

Get a solid grasp of how Generative AI actually works and why the details matter for software testing. Learn Few Shot and Chain of Thought prompting techniques that produce reliable, consistent test data every time.

GitHub Copilot and Claude Code

Use GitHub Copilot for fast test script generation and Claude Code for terminal based codebase refactoring. Get hands on with the tools already reshaping how SDETs write, fix, and scale test code.

Model Context Protocol in Practice

Use MCP to give LLMs direct, secure access to your code, databases, and test environments. Build your own Claude tools so the AI plugs into your environment and acts within it rather than just alongside it.

n8n AI Powered Testing Pipelines

Visually wire together AI powered pipelines in n8n that connect your agents directly with Jira. Automate the full testing workflow from requirement intake to bug filing without writing a line of glue code.

AI Agents That Build and Run Tests

Build agents that read a requirement document and produce test scripts ready to run. Go beyond single prompts to multi agent systems where each agent handles a specific part of the QA lifecycle.

Production Ready AI QA Strategy

Walk away with a repeatable, scalable approach to AI augmented QA you can apply on any project. Not theory. A real strategy built on tools and patterns you practiced hands on throughout the course.

Meet Your Instructor

Manish Verma - Instructor

Manish Verma

Founder & Senior QA Architect | Generative AI and Agentic AI Expert for QA

20+ years of QA and project management experience, with deep hands on expertise in Generative AI, Agentic AI, LLM based test automation, and multi agent systems built for real 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.

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What You Need

Course Requirements

  • No prior experience with AI or LLMs required. The course builds everything from the ground up.
  • A basic understanding of software testing and test automation is helpful but not essential to follow along.

Frequently Asked Questions

Do I need prior experience with AI or machine learning? +
No prior AI or machine learning experience is needed. The course starts with how Generative AI actually works and builds from there. If you understand what software testing is and have some curiosity about where the field is heading, you have everything you need to get started.
Do I need to know how to code to take this course? +
Basic familiarity with test automation concepts helps but is not required. The course focuses on using AI tools like GitHub Copilot, Claude Code, and n8n rather than writing complex code from scratch. You will be working with these tools hands on, and the lessons are designed to be accessible whether you are a manual tester or an experienced SDET.
What is the Model Context Protocol and why does it matter for QA? +
MCP is a standard that lets large language models connect directly and securely to external tools like your codebase, databases, and test environments. For QA it means your AI agents are not just generating text. They can actually read your code, run queries, and act inside your environment. The course covers MCP hands on with real examples built around testing workflows.
What is n8n and do I need a paid account to use it? +
n8n is an open source workflow automation tool that lets you visually connect applications and services, including AI models and Jira. You can run it locally for free, which is exactly what the course does. No paid subscription is required to follow along with every pipeline exercise in the course.
What is the difference between the three pricing options? +
Monthly at $5.99 per month gives you flexibility to start without a big commitment. One time at $29.99 lets you own this course forever with no further charges. Lifetime membership at $99 gives you access to every RCV Academy course, all future updates, and every new course released. All paid plans include a 30 day money back guarantee.
How many hours of content are there and how long will it take to finish? +
The course contains 10 hours and 5 minutes of hands-on video content plus 6 articles and 9 downloadable resources. Most students spread it across a few weeks, going section by section and practicing each tool as they go. You can watch at your own pace and return to any lesson whenever you need a refresher. Your access never expires.

Who This Course Is For

Manual QA Professionals Ready to Level Up

Who want to move into roles where AI makes them more valuable, not replaceable, and need a practical path to get there fast rather than watching the industry shift around them.

Automation Engineers and SDETs

Who are ready to move beyond writing scripts and want to start building AI powered workflows that run themselves, from requirement intake through test execution and bug filing.

QA Leads and Managers

Who need a real, practical AI strategy for their team, not just a slide deck full of buzzwords. This course gives you the hands on experience to lead your team through the transition with confidence.

QA Practitioners Who Want Prompting That Actually Works

Who are tired of hit or miss AI outputs and want structured prompting techniques like Few Shot and Chain of Thought that produce consistent, predictable results every single time.

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

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