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Learn Generative AI for Software Testing
Rating: 4.2 out of 5(6 ratings)
114 students

Learn Generative AI for Software Testing

Boost Testing Efficiency Using Modern AI Tools
Created bySudhanshu Kumar Singh
Last updated 9/2025
Hindi

What you'll learn

  • Understand the integration of AI in each phase of the Software Testing Life Cycle (STLC)
  • Apply AI tools and techniques to automate and optimize test case generation and execution
  • Identify and implement AI-driven strategies to detect bugs, reduce false positives, and enhance defect prediction accuracy
  • Evaluate the benefits and limitations of using AI in modern testing environments

Course content

2 sections • 10 lectures • 37m total length

  • Introduction0:45
  • Suggestion0:28

Requirements

  • Basic understanding of Software Testing concepts (Manual or Automation)
  • Familiarity with terms like test cases, defects, test plans, etc.
  • Willingness to learn and explore tools like ChatGPT, Gemini, GitHub Copilot, and JIRA

Description

"Revolutionize Your Software Testing Workflow with AI Tools like ChatGPT, GitHub Copilot, and Gemini!"

Welcome to a modern software testing course designed for manual and automation testers, QA professionals, and curious learners who want to leverage AI tools to make testing faster, smarter, and more efficient.

In this course, you’ll learn how to integrate popular AI tools such as ChatGPT, GitHub Copilot, Microsoft Copilot, and Gemini into your daily testing routine — from requirement analysis to reporting.

Whether you’re writing test cases, debugging automation scripts, or logging defects in JIRA — you’ll discover practical techniques to cut down effort and improve accuracy using the latest tools.

What You’ll Learn:

  • Perform Requirement Analysis with ChatGPT

  • Create effective Test Plans and Test Summaries using AI

  • Develop Test Cases quickly using Gemini and Microsoft Copilot

  • Write and debug Automation Scripts with GitHub Copilot

  • Use ChatGPT for quick fixes, code reviews, and logic building

  • Log defects in JIRA faster with smart assistance

  • Generate Test Summary Reports efficiently

Tools Covered:

  • ChatGPT

  • GitHub Copilot

  • Microsoft Copilot

  • Gemini (by Google)

  • JIRA (for defect tracking)

By the end of this course, you’ll:

  • Be confident using AI tools across various stages of software testing

  • Understand how to automate repetitive tasks and focus on what matters

  • Stay ahead in your career by adopting modern QA practices

No prior experience in AI is required. Basic software testing knowledge will help, but even curious beginners will find value.

Let AI do the heavy lifting — join now and transform how you test!

Who this course is for:

  • Manual Testers who want to upgrade their skills and automate daily testing tasks using AI tools
  • Automation Test Engineers looking to boost productivity using ChatGPT, Copilot, and other modern tools
  • QA Analysts who want to streamline defect logging, test case writing, and debugging
  • Freshers or Students who want to enter the world of software testing with a smart and modern approach
  • Freelancers or Upwork testers who want to deliver faster results using AI
  • Anyone curious about using AI tools in Software Testing with real-world use cases

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