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Keep shoppingAI Software Testing: ChatGPT & GitHub Copilot for QA
694 students
AI Software Testing: ChatGPT & GitHub Copilot for QA
Use ChatGPT & GitHub Copilot to design tests, write automation, explore bugs, and work with AI agents
Created byGlitch IT System
Last updated 6/2026
English
What you'll learn
- The difference between AI, ML, Generative AI, and LLMs—and why it matters for QA
- How to prompt ChatGPT effectively for test planning, design, and reporting
- How to use GitHub Copilot to write and refactor automated UI/API tests
- How to “vibe code” test automation—even if you're new to JavaScript
- Ethical guidelines: what not to share with AI tools, and how to stay secure
- How to build multi-step QA workflows with prompts
Explore related topics
Course content
15 sections • 91 lectures • 7h 18m total length
Requirements
- No coding knowledge
- No prior AI experience
- Computer with a Chrome browser
- ChatGPT account
- Github account
- Visual Studio Code
Description
Stop wasting hours on repetitive QA work. Learn how to use ChatGPT and GitHub Copilot to streamline test cases, documentation, bug reports, and more—while keeping your expertise at the center. No advanced coding required.
The Problem
As a QA tester or engineer, you're juggling manual testing, documentation, test case creation, and bug reporting—all while trying to stay current with modern testing practices. It's exhausting. You've heard about AI but aren't sure how it actually helps QA professionals, and you worry it might replace your value.
The Solution
In this hands-on course, you'll discover how AI tools like ChatGPT and GitHub Copilot are transforming QA workflows. You'll learn to leverage these tools as your intelligent assistant—not to replace your expertise, but to dramatically amplify it across every aspect of your QA work. We guide AI; AI doesn't guide us.
What You'll Learn
- AI fundamentals for QA (what it can and can't do)
- Prompt engineering: How to ask ChatGPT for test cases, documentation, and bug reports
- Streamline test case creation with AI assistance
- Write clearer, more comprehensive bug reports with AI help
- Generate and refactor test automation code with GitHub Copilot
- Document testing strategies and requirements faster
- Review, improve, and validate AI-generated outputs like a pro
- Real-world examples across your entire QA workflow
What You'll Be Able to Do
✓ Generate comprehensive test cases in minutes using ChatGPT
✓ Write detailed, clear bug reports faster with AI assistance
✓ Create test documentation and requirements with confidence
✓ Build test automation with GitHub Copilot (when needed)
✓ Reduce repetitive work by 50%+ and reclaim your time
✓ Confidently use modern AI tools to accelerate your entire QA workflow
✓ Guide AI tools like an experienced QA professional
This is for You If
- You're a manual tester curious about automation and AI
- You're a QA engineer wanting to work smarter, not harder
- You want to stay relevant in an AI-powered tech world
- You're intimidated by coding but ready to learn
Course Outcome
By the end of this course, you'll have the skills and confidence to use modern AI tools to make your QA work faster, smarter, and significantly more fun.
Who this course is for:
- Manual testers ready to explore automation with support from AI
- QA engineers looking to add AI tools to their workflow
- SDETs who want to prototype faster or experiment with Copilot
- Curious tech professionals wondering “Can AI actually help me test better?”