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Gen AI for QA: Playwright, Copilot & Claude Code (Udemy.com)

AI for software testing, hands-on: Claude Code, GitHub Copilot & Playwright MCP for faster test automation

4.7
536 reviews

Created by: Alex Dan

Last updated August 2026

Our take

Based on the ratings of 536 students, a sample of their written reviews and the syllabus, as the course stood in August 2026. No course pays to be reviewed.

This is a compact, tool-first course for people who test software. The syllabus shows 81 short lectures across 15 sections, about 5 hours in total, covering prompt engineering, GitHub Copilot with Playwright, Claude Code, MCP servers, Playwright agents, local models through Ollama and a short CI/CD section. It was published in March 2026 and last updated in late August 2026, which matters in a field that changes monthly. Alex Dan teaches it, and it is aimed at QA engineers, manual testers and test leads who have not used AI tools at work yet.

Reviewers keep praising the same things. The explanations are clear, the lessons are bite sized, and the examples feel close to real QA work. One reviewer calls it a useful start when information overload about AI leaves you unsure where to begin. Alex comes across as a quiet, clear teacher. The complaints are small but real. One reviewer wanted a Playwright API testing section to match the web UI one, and a one-star review called it basic, short and vague. Of the 536 ratings, 334 are five stars and only six are two stars or lower.

At about five hours, it is a quick orientation, not a deep program. The course ships with downloadable prompt libraries, MCP configs and sample projects, but it has no coding exercises and just five quizzes. Testers who already write Playwright tests every day may find parts of it thin. For beginners to AI who want a map of the tools and a working setup, it is a sensible, fast place to begin. Anyone wanting depth should treat it as step one.

Best forQA engineers and manual testers who want a quick, practical start with Copilot, Claude Code and Playwright MCP.
Skip it ifYou want deep Playwright or API testing coverage, or hours of hands-on exercises rather than short demos.

Pros

  • Short lessons that reviewers call bite sized and easy to follow
  • Covers Copilot, Claude Code, Playwright MCP and Ollama in one place
  • 30 downloadable resources, including prompt libraries and MCP configs
  • Last updated in August 2026, only months after its March launch

Cons

  • At about 5 hours, it is a quick start; one reviewer found it basic and vague
  • One reviewer missed a Playwright API testing section; API testing gets just 3 lectures
  • No coding exercises and just five quizzes, so practice is self-driven
Loved the bite sized length of the videos. A well rounded course, with just enough practical examples, to get you up and running.
Klemen petrovčič, a student

Suits people new to AI with basic testing knowledge. Experienced SDETs will move through it fast.

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What you will learn

  • Apply Prompt Engineering techniques to improve QA test case generation
  • Build a complete Playwright test project with GitHub Copilot, and apply the same workflow to Selenium
  • Build AI agents and MCP integrations for QA automation workflows
  • Generate test plans, test cases, and test data using LLM tools
  • Apply Generative AI across the full software testing lifecycle — planning, execution and reporting
  • Integrate Playwright MCP into AI powered test automation
  • Run local LLM models privately with Ollama inside GitHub Copilot and Claude Code
  • Install and configure MCP servers to connect AI agents to real testing tools
  • Set up Chrome DevTools MCP and AWS Documentation MCP to give AI agents real tool access
  • Design reusable prompt patterns for test case generation, test data and bug reports

Course content

15 sections · 81 lectures · 5.1 hours of video 5 quizzes, 3 articles

  1. 1Course Introduction 1 free preview4 lectures · 7 min
  2. 2AI powered Quality Assurance - introduction 3 free previews5 lectures · 1 quiz · 26 min
  3. 3Prompt Engineering for QA: Getting the Best from AI8 lectures · 1 quiz · 26 min
  4. 4Checkpoint: What You've Learned So Far1 lecture · 2 min
  5. 5Hands on: AI assisted coding - GitHub Copilot and Playwright10 lectures · 1 quiz · 37 min
  6. 6Hands on: AI assisted testing - Claude Code9 lectures · 1 quiz · 32 min
  7. 7AI Powered API Testing for QA Engineers3 lectures · 13 min
  8. 8AI Agents & MCP for QA Automation10 lectures · 1 quiz · 50 min
  9. 9Agentic AI: Skills for QA engineers6 lectures · 25 min
  10. 10Playwright AI & Agents8 lectures · 29 min

Who it is for

The instructor says it suits

  • QA engineers and automation testers who want to work smarter with AI in their daily workflow
  • Manual testers moving into AI-assisted or automated testing for the first time
  • SDETs and automation engineers using Playwright or Selenium who want AI inside their framework
  • Test leads evaluating GenAI tools and MCP servers for their teams
  • Testers who need to run LLMs locally because company policy restricts cloud AI
  • QA professionals preparing for AI-first testing roles
  • Developers who write their own tests and want faster coverage

What you need before you start

  • No prior AI experience needed — we start from the fundamentals
  • Basic familiarity with software testing concepts is helpful but not required
  • A computer with VS Code installed (free) — setup is covered in the course

How it compares

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

  • Rating4.7 out of 5higher than 87% of them
  • Reviews536#166 of 282 by number of reviews
  • Length5.1 hoursshorter than 59% of them
  • Last updatedAugust 2026more recently than 95% of them

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Course Description

Are you a QA engineer, automation tester, or manual tester ready to future-proof your career? This is a practical, tool-first guide to AI testing, built specifically for the software testing profession.

Whether you're exploring AI-powered testing for the first time or looking to level up with tools like GitHub Copilot and Claude Code, this course gets you productive with GenAI for QA — working with the same tools you'll use on Monday morning.

This is a build-along course. Every section has you working in your own editor — there are no slide decks to sit through. You get 30 downloadable resources: prompt libraries, MCP server configs, CLAUDE md templates and working Playwright projects you can drop straight into your own repo. Three Role Play exercises let you practice prompting against realistic testing scenarios rather than toy examples.

What you will learn

  • Use GitHub Copilot for test automation — generate test cases, review code, and build a full Playwright project with AI assistance

  • Use Claude Code for QA automation — create test plans, write AI-powered tests, and configure your workflow with CLAUDE md

  • Master Playwright MCP — the most powerful combination of Agentic AI and test automation available today

  • Learn Prompt Engineering for QA — principles, patterns, and mistakes that define expert prompting

  • Connect AI agents to real tools with MCP servers: Chrome DevTools, AWS documentation, and databases

  • Run local LLMs privately with Ollama inside GitHub Copilot and Claude Code

Who this is for

  • QA engineers and automation testers who want to work smarter with AI

  • Manual testers moving into AI-assisted or automated testing

  • Test leads evaluating GenAI tools for their teams

  • Anyone exploring Generative AI for software testing in a practical, tool-first way

No prior AI experience needed.

Tools covered

GitHub Copilot, Claude Code, Playwright, Playwright MCP, Chrome DevTools MCP, AWS Documentation MCP, Ollama, and core Prompt Engineering techniques.

Most AI testing courses are too theoretical or focused on a single tool. This course covers the full landscape of GenAI for QA — from prompt engineering fundamentals to Agentic AI and MCP servers — with real hands-on projects throughout.

Enrol now and start using GitHub Copilot, Claude Code, and Playwright MCP to transform how you test software.
Read More All Levels All Levels product length iconTime: 5.1h

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Instructor Details

Alex Dan

Alex Dan — Cloud Architect, Developer & Instructor

With over a decade of hands-on software engineering experience, I've built my career at the intersection of cloud infrastructure, web development, and practical education.

My technical journey started in embedded automotive systems — developing Java-based navigation solutions for major car brands. From there, I moved into cloud engineering, building AWS-powered data pipelines for connected vehicles using Node.js, TypeScript, Lambda, DynamoDB, and a full suite of AWS services. I later worked as a Node.js developer at one of Eastern Europe's largest e-commerce platforms, before transitioning into independent cloud architecture consulting.

Today, as a freelance Cloud Architect, I design and implement scalable cloud solutions across industries — from automotive to enterprise — with a focus on infrastructure reliability, CI/CD automation, and modern serverless architectures.

Parallel to my engineering career, I've been teaching on Udemy since 2017, growing a community of over 300,000 students across 19 courses. My current focus is AI-assisted development — helping developers work smarter with tools like GitHub Copilot, VS Code AI extensions, and agentic coding workflows.

Read More

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Reviews

4.7

536 ratings on Udemy

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By Sikhumbuzo Moya on 8/27/2026

The tutor is clear and explains concepts in a way that is easy to follow. so far i feel so comfortable and i can't wait to start working on all the concepts i've learned thus far.

By Dennis Thisner on 8/19/2026

Great course to get you introduced to how to work with AI and Automation Testing. Instructor was easy to listen to and clearly knows what he is talking about. Highly recommend the course.

By Anton Savenko on 8/5/2026

Thanks for the good start/entry point and detailed instructions on how to introduce AI into AQA. It is a very useful course when you get frustrated with the information overload about AI and do not know how to start.

By Saranya Natarajan on 7/31/2026

I was able to follow the course effectively because it was well structured and provided clear explanations tailored to QA needs. The only section I felt was missing was one covering Playwright API testing, similar to the Playwright Web UI testing section. Including that would have made the course even more comprehensive and complete. Overall, it was a great learning experience. Thank you, Alex!

By Bayram Binbir on 7/15/2026

A perfect match for QA engineers looking to integrate AI into their daily workflow. The course covers everything from prompt engineering and GitHub Copilot to MCP integrations and local LLMs with Ollama — all with practical, hands-on examples. Alex Dan explains complex concepts clearly, and the content is directly applicable to real test automation projects. Highly recommended for anyone serious about the future of QA.

By Thomas Kucera on 7/7/2026

After finishing the course "GitHub Copilot - The Complete Guide - 2026" this course has a lot of repetitions. But still there are a few new topic that made it worth watching

By Igor Lino on 6/16/2026

The course is very informative and well-structured! It thoroughly covers practical aspects of AI-assisted coding in test automation with tools like GitHub Copilot and Claude. Great job!

By Francisco Javier Ramírez Hernández on 5/27/2026

I really learned a lot of things, not just about AI or QA Automation, even I have learned about MCP, Code assistants, LLMs, etc. I feel like this course was THE LIGHT in my professional career aspirations. Thank you so much Alex!

By Veronica Norambuena on 5/15/2026

Estoy muy contenta con este curso. La forma en que se explican los contenidos es clara, dinámica y fácil de entender, incluso en temas que pueden ser más complejos. Se nota la dedicación y preparación de quien lo imparte, lo que hace que la experiencia sea muy enriquecedora.

By Ek Mo on 5/8/2026

It starts off heavy on the explanation/theory of things, but it was worth it, since then he dives into application/use pretty well and by then you've already heard all the concepts. He did a good job of showing how best to use AI, like making it first give you a plan of what it *would* do, so you can review it, correct it, and then tell it where to actually start. Overall, good course if you're starting off to use AI for QA/testing and aren't too familiar.

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Quality Score

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Overall Score : 94 / 100

Gen AI for QA: Playwright, Copilot & Claude Code
Visit course on Udemy Write a review
  • Video Duration: icon 5.1h
  • Price: $11.99
  • Provider: icon Udemy
  • Updated: icon August 2026
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:81 in 15 sections
  • Practice:5 quizzes
  • Students:4,523
  • Subtitles:1 language
  • Udemy badge:Bestseller
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