AI test engineering | Master vibe testing, AI tools, and agents
AI test engineering | Master vibe testing, AI tools, and agents
by Karthik K.K.
TL;DR/ Key Takeaway:
- Learn foundational AI concepts for QA, including AI, machine learning, and large language models (LLMs).
- Explore prompt engineering and context engineering techniques for more effective AI-assisted testing workflows.
- Use AI tools to extract insights from requirements, specifications, and meeting notes.
- Understand vibe testing and how AI-assisted workflows can support test design and execution.
- Explore popular AI tools used in testing and software development, including IDE copilots and CLI assistants.
- See how AI can support test automation, code analysis, and maintenance activities.
- Learn how MCP servers connect AI tools with real systems for UI, API, database, and BDD-related workflows.
- Understand how AI agents extend LLM capabilities through interactions with files, repositories, browsers, and other tools.
- Explore custom agents and reusable skills that can help standardize testing workflows across teams.
- Learn how model selection can influence outcomes across different AI use cases.
- Discover practical applications of AI in quality engineering, including faster feedback cycles and workflow improvements.
- Explore how enterprise AI solutions can support modern testing and quality engineering practices.
Description:
AI is becoming an important part of modern QA workflows. In this learning track, you'll explore what AI is, how large language models work, and why context engineering and prompt engineering can help improve results when working with AI tools.
You'll discover AI models such as Claude, ChatGPT, and Grok, explore custom AI agents, and learn how reusable agent skills can support testing activities. You'll also see practical examples of AI assisting with test creation, code generation, browser-based testing, and documentation.
By the end, you'll have a practical understanding of how AI can support software testing and quality engineering workflows. Whether you're a manual tester, automation engineer, or QA leader, this learning track will help you explore AI-assisted approaches to testing and quality engineering.
Just practical AI insights and techniques for testers.
📁Chapters:
✅Certificate of Completion:
Complete all chapters and take the final quiz. Achieve a score of 90% or higher to earn your Certificate of Completion. You will find the quiz link at the end of the learning track.
Certificates of completion are issued 1 business day after 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.
