Certification course
by Karthik K.K.
TL;DR/ Key Takeaway:
- Learn core AI concepts for QA, including AI, machine learning, and LLMs, so you can apply them confidently in testing workflows.
- Master prompt engineering and context engineering to get higher quality, more reliable test outputs from AI tools.
- Use AI assisted testing to accelerate manual test design by extracting key details from requirements, specs, and meeting artifacts.
- Understand vibe testing and how AI powered QA engineers orchestrate test design and execution using modern AI tools.
- Get practical with popular AI tools used in testing and coding workflows, including IDE copilots and CLI assistants.
- Learn how to generate and improve automation faster, including creating tests, fixing flaky code, and understanding unfamiliar codebases.
- Use MCP servers with real browsers to generate realistic tests, not hallucinated scripts, across UI, API, database, and BDD workflows.
- Understand AI agents as the “hands and legs” of LLMs that can access files, repos, and browsers to execute multi step workflows.
- Build custom agents and agent skills to standardize how your team plans, generates, and maintains tests.
- Learn how model choice affects outcomes and how different AI models power chatbots and developer tools behind the scenes.
- Explore practical AI enabled quality engineering, including self healing ideas, faster feedback loops, and integration thinking.
- See how enterprise offerings fit into the workflow, including approaches for creating smarter tests with vendor tooling.
Course description:
AI is no longer a future skill for QA engineers — it's the present one.
In this course you'll learn what AI actually is, how large language models think, and why context and prompt engineering are the difference between mediocre and outstanding results.
You will explore real AI models like Claude, ChatGPT, and Grok, build custom AI agents, and create reusable agent skills that automate entire testing workflows. You'll see live demos of AI generating complete test suites, writing production-ready code, navigating real browsers, and producing documentation — all without you writing a single line manually.
By the end, you won't just understand AI — you'll know how to put it to work. Whether you're a manual tester looking to move faster, an automation engineer wanting smarter workflows, or a QA lead preparing your team for what's next, this course will transform the way you work and position you as an AI-powered QA engineer ready for the modern era of testing.
No fluff. No theory overload. Just practical AI skills built for testers.
📁Structure of the course:
✅Certification:
Complete all chapters of the course and take the final quiz. Achieve a score of 90% or higher to earn your official Certificate. You will find the quiz link at the end of the course.
Certificates are issued 1 business day after course completion.
Please reach out to us only if your certificate is not delivered within this timeframe. And please be patient.
Certificates will be issued with the name you have in your profile.
