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Level Up Software Testing Using Generative AI
Rating: 4.1 out of 5(9 ratings)
54 students

Level Up Software Testing Using Generative AI

Apply Generative AI in Testing: Prompt Engineering, Ollama, Hugging Face, Agentic AI & MCP (Model Context Protocol)
Created byAmbreen Khan
Last updated 6/2025
English

What you'll learn

  • How Generative AI can be applied to enhance software testing activities
  • Practical prompt engineering techniques tailored for testers
  • How to generate test cases, user stories, and bug reports using AI
  • How to set up and use local LLMs (like Ollama and Hugging Face) for testing workflows
  • How to build custom AI agents to automate and augment testing tasks

Course content

6 sections • 24 lectures • 1h 27m total length

  • Introduction1:09
  • What is Generative AI?3:13
  • Common AI Myths2:26
  • Understanding Generative AI

Requirements

  • A basic understanding of software testing concepts (manual and automated testing)
  • Curiosity about how AI can support and improve testing workflows
  • No prior experience with AI or machine learning is required
  • Some familiarity with the Python programming language and command line tools is helpful but not mandatory

Description

Generative AI is revolutionizing how we build, test, and ship software—and testers are perfectly positioned to lead this change. This course is designed for software testers who are ready to move beyond AI experimentation and start using it meaningfully in their everyday workflows.


In this course, you'll gain hands-on, practical skills you can apply right away:


  • Fundamentals – What is Generative AI, and why is it becoming an essential tool for testers?

  • Prompt Engineering – Learn how to craft effective prompts that get better, faster results from tools like ChatGPT.

  • Running Local Models – Use tools like Ollama and Open WebUI to run models locally for more control over privacy and performance.

  • Exploring Hugging Face – Find, test, and deploy open-source models tailored for software testing tasks.

  • AI Agents & Model Context Protocol – Use AI-powered agents to handle test case generation, automation, and more.

Whether you're focused on manual testing, automation, or test strategy, this course will equip you with the tools and confidence to make Generative AI a valuable part of your QA toolkit.


By the end of this course, you’ll be able to:

  • Confidently integrate AI into your testing workflow

  • Choose and run the right AI models for your needs

  • Use AI agents that automate and enhance your testing tasks

Take your testing skills to the next level—with the power of AI.

Who this course is for:

  • Software testers (manual or automation) looking to enhance their skills with AI
  • QA professionals curious about applying generative AI in real testing workflows
  • Test leads and managers exploring ways to boost team productivity with AI tools
  • Developers involved in testing who want to streamline repetitive tasks
  • Anyone in software quality roles eager to stay ahead with the latest AI-driven testing techniques

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