Beginner-Friendly 6-Week Career-Focused Program
Program Highlights : 6 Weeks, ~27 Hours, 6+ AI Tools and 1 Portfolio Project
Learn professional software testing from the ground up – writing real test cases, tracking real defects, building a portfolio project, and using AI tools to work faster and smarter.
Master Software Testing with AI & Launch Your IT Career
Become a highly skilled Software Testing Professional by learning Manual Testing integrated with the latest AI tools used by modern QA teams. This comprehensive AI Powered Manual Testing Course is designed for fresh graduates, career changers, and working professionals who want to build a successful career in software testing.
Learn industry-standard testing methodologies, defect tracking, test case creation, Agile testing, and AI-powered testing techniques through practical, real-world projects.
Why Learn AI Powered Manual Testing?
The software testing industry is rapidly evolving with Artificial Intelligence. Companies are now leveraging AI tools to improve test planning, test case generation, bug detection, documentation, and productivity.
By combining traditional Manual Testing skills with AI-powered testing tools, you gain a competitive advantage in the job market and become future-ready.
What you will learn in our program?
- Software Testing fundamentals, SDLC, Waterfall, V-Model, and Agile methodologies
- Professional test case design using Boundary Value Analysis (BVA) and Equivalence
Partitioning (EP). - Using ChatGPT and Claude to generate, review, and refine test cases.
- Creating and executing test runs in TestRail.
- Managing defects in Jira and documentation in Confluence.
- Configuring TestRail–Jira integration.
- Running AI-assisted exploratory testing sessions.
- Generating QA metrics and professional reports using AI.
- Building a portfolio-ready QA project.
Automation Testing with AI Course Syllabus
Week 1 – AI Foundations of Software Testing
Testing basics, SDLC, STLC, Agile, and introduction to AI for testers.
Week 2 – AI-Assisted Test Case Writing & Project Kickoff
Test design techniques and AI-supported test case creation.
Week 3 – AI-Driven Test Planning and Strategy
Test planning, prioritization, and AI-generated strategies.
Week 4 – AI-Enhanced Jira and Confluence Essentials
Defect management, documentation, and AI productivity techniques.
Week 5 – AI-Powered Test Execution and Defect Logging
Execution cycles, defect reporting, and AI-assisted analysis.
Week 6 – AI-Based Reporting, Metrics & Portfolio Completion
Metrics, AI-generated reports, and portfolio finalization.
Course Outcomes
- Execute a complete test cycle using AI-assisted testing practices.
- Create professional test cases, defect reports, traceability matrices, and release
- recommendations.
- Demonstrate hands-on proficiency in TestRail, Jira, Confluence, and modern AI tools.
- Integrate AI throughout the testing lifecycle—from requirements analysis to reporting.
- Use Generative AI to improve productivity, test design, exploratory testing, and defect analysis.
- Build a portfolio project showcasing both Manual Testing and AI-powered testing skills.
- Apply AI-assisted exploratory testing techniques to uncover defects more effectively.
- Prepare confidently for Junior QA and AI-enabled QA interviews.
