Learning Objective
By the end of this course, you will be able to
By the end of this course, learners will be able to:
- explain what AI language models can and cannot do in a QA context without overstating their capabilities
- apply ChatGPT and Claude to generate structured test cases from user stories, acceptance criteria, and requirements
- use AI tools to produce equivalence partitions, boundary values, and decision table inputs for any feature under test
- write more informative and reproducible defect reports faster using AI as a drafting and structuring assistant
- generate test plan outlines, risk assessments, and test strategy sections using prompt-driven AI workflows
- use AI to analyse requirements documents and identify ambiguities, missing scenarios, and edge cases
- build a personal prompt library of reusable QA prompts that consistently produce high-quality output
- evaluate AI-generated test artefacts critically and know exactly when to accept, edit, or discard the output
Target learners
Who this course is for
- Manual testers and QA analysts who want to use AI tools to work faster and produce higher-quality test documentation.
- QA professionals who feel left behind by the AI wave and want a practical, non-technical entry point.
- Test leads and QA managers looking to introduce AI-assisted workflows to their teams.
- Career changers who have recently moved into manual QA and want to build AI literacy from their first job.
- ITLearnner Manual Testing Professional graduates who are ready to upgrade their workflow with AI tools.
Prerequisites
What you need
No AI or technical programming experience is required for this course.
Working experience in a manual QA or software testing role is expected — at least six months in a testing position.
Familiarity with writing test cases, raising defects, and working in Agile teams is assumed.
A laptop with a modern browser and a stable internet connection are all that is needed.
A free ChatGPT or Claude account is required — both are available at no cost before the course starts.
An open mind about using AI as a productivity assistant rather than a replacement for testing judgement is essential.
Course Overview
What this course is about
AI for Manual Testers is a practical, hands-on course designed for QA professionals who want to use AI tools - ChatGPT, Claude, and Copilot - to do their daily testing work better and faster. This is not a theory course about what AI might do in the future. Every session focuses on real QA tasks, real AI tools, and real prompts that produce usable output immediately.
No coding, machine learning, or data science knowledge is required at any point. If you can write a test case and raise a defect, you already have everything you need to start using AI to do both of those things significantly better.
What You Will Be Able to Do After This Course
- Write structured test cases from user stories in a fraction of the time
- Generate equivalence partitions and boundary values automatically
- Produce professional defect reports with AI assistance in under two minutes
- Create test plan sections, risk registers, and entry/exit criteria with AI
- Build a reusable prompt library that becomes your personal QA AI toolkit
Tools Covered
- ChatGPT (GPT-4 and GPT-4o)
- Claude (Anthropic)
- GitHub Copilot Chat
- Microsoft Copilot
- Notion AI for documentation
Curriculum
Course Types
We offer three structured learning paths based on your goals:
Crash Course (Fast-Track)
Quick, intensive courses designed to teach specific skills efficiently. Ideal for those upskilling fast or preparing for certifications.
DeepDive Program (Full Mastery)
Comprehensive, step-by-step learning for full mastery. For beginners and professionals seeking long-term, deep expertise.
MentorConnect (One-on-One)
Personalised mentorship with real-world guidance. Best for those who thrive with direct, expert-to-learner coaching.
Frequently asked questions
Learning Approaches
We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:
One-on-One Training
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Personalized, instructor-led coaching tailored to your learning speed.
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Best for career-specific coaching or specialized training needs.
Small Batch Classes (2-5 learners)
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Interactive, discussion-based learning in small groups.
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Encourages collaboration, teamwork, and peer-to-peer engagement.

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