
📌 Boost your QA and Software Testing career with the power of Generative AI!
This course is designed specifically for QA professionals, manual testers, automation engineers, and software testers who want to harness the capabilities of Generative AI to increase productivity, reduce repetitive tasks, and accelerate testing workflows.
You’ll explore real-world use cases where tools like ChatGPT, GitHub Copilot, and other LLMs (Large Language Models) can assist with test case generation, defect logging, test data creation, automation script writing, and more!
Even if you have zero prior AI knowledge, this course will take you from the basics of Generative AI to practical applications tailored for quality assurance and software testing environments.
What You Will Learn
✅ Introduction to Generative AI for Testers and QA Engineers
✅ How ChatGPT, Bard, and other tools can improve testing efficiency
✅ Writing and optimizing test cases with AI assistance
✅ Automating test data generation using AI prompts
✅ Using Generative AI for writing and debugging automation scripts
✅ How to use AI to simulate user behavior and edge cases
✅ Integrating AI into existing QA workflows
✅ AI tools comparison and prompt engineering for QA
✅ Limitations, risks, and ethics of AI in QA & testing
✅ Future of QA: How AI is reshaping software quality practices
Who This Course is For
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✅ Manual testers wanting to upskill
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✅ Automation testers looking to optimize scripting
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✅ QA engineers seeking smarter testing techniques
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✅ Software testers and SDETs
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✅ Agile team members and test leads
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✅ Anyone interested in blending QA with modern AI
Course Features
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🎥 Step-by-step video lectures with real use cases
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🧪 Hands-on labs and prompts for QA-specific tasks
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📁 Downloadable templates (test cases, prompts, scripts)
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💡 Tips on integrating AI into popular tools like Selenium, JIRA, TestRail
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🏅 Certificate of Completion
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💬 Dedicated Q&A support
1 - Introduction
2 - Generative AI Basics
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21 -Agenda Items of this section
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32 -Generative AI - Understanding and some use cases
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43 -Generative AI - Basic Terms
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54 -Understanding Model in layman terms
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65 -What are Tokens and Embeddings in AI Models
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76 -Prompt Engineering Strategies for QA Engineers and Software Testers
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87 -Hands On Prompt Engineering Live Examples for QA Engineers and Software Testers
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98 -Let's understand the ML type, Algorithm and Model in ChatGPT
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109 -Let's understand the ML type, Algorithm and Model in Dall-E
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1110 -Let's understand the ML type, Algorithm and Model in Github Copilot
3 - Case Study - Automated Test Case Creation using Gen AI from JIRA User Stories
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121 -Hands-On Understand Case Study with using Gen AI for QA Engineering Tasks
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132 -Hands-On Install Ollama as a Prerequisite
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143 -Hands-On Understand Repo for automated test case creation using GenAI
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154 -Hands-On Clone GitHub Repo for automated test case creation with GenAI - Part 1
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165 -Hands-On Clone GitHub Repo for automated test case creation with GenAI - Part 2
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176 -Hands-On Run automated test case creation application - Part 1
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187 -Hands-On Run automated test case creation application - Part 2