Claude AI for QA Engineers – Live Training
(Generative AI, Prompt Engineering, Test Case Design, Bug Analysis, Test Data Generation, Requirements Validation, SQL Testing & AI-Assisted QA Workflows using Claude AI)
This comprehensive hands-on course is designed for Manual Testers, and QA professionals who want to leverage the power of Claude AI in modern software testing. The program covers the complete AI-assisted QA lifecycle including Generative AI fundamentals, Prompt Engineering, Agentic AI, Test Case Design, Bug Reporting, Test Data Generation, Requirements Analysis, Exploratory Testing, and SQL testing using AI-powered approaches.
Through practical demonstrations, real-time use cases, and guided lab sessions, learners will understand how to integrate Claude AI into daily QA activities to improve productivity, enhance test coverage, accelerate defect analysis, and streamline testing workflows. The course focuses on industry-oriented implementation techniques that help testers perform smarter and faster testing using advanced AI capabilities.
Participants will gain strong expertise in AI-assisted testing strategies, intelligent prompt creation, requirements gap detection, exploratory testing methodologies, and automation support using Claude AI. By the end of the training, learners will be equipped with the skills required to become future-ready AI-enabled QA professionals capable of working efficiently in modern AI-driven software development environments.
About The Instructor:
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The trainer is a passionate QA professional with over 10 years of industry experience in Software Testing, Automation Testing, API Testing, Database Testing, and AI-assisted Quality Engineering. With a strong focus on practical learning and real-time implementation, the trainer has successfully trained 100+ students from diverse technical backgrounds including Manual Testing, Automation, and modern AI-powered QA practices. The trainer believes in making complex concepts simple and easy to understand through hands-on demonstrations, industry use cases, and interactive learning sessions. Teaching is not just a profession but a true passion for the trainer. Known for a student-friendly and practical training approach, the trainer provides personalized guidance and 1-on-1 support based on individual learner requirements. Whether a student is a fresher, working professional, or experienced tester transitioning into AI-enabled QA roles, the trainer focuses on helping every learner build strong confidence, practical skills, and industry-ready knowledge. The trainer specializes in Generative AI for QA, Prompt Engineering, Test Case Design, Bug Analysis, Requirements Validation, Exploratory Testing, SQL Testing, and AI-powered testing workflows using tools like Claude AI. The sessions are designed to be highly interactive, career-oriented, and implementation-focused, ensuring students gain real-world exposure rather than only theoretical understanding. The trainer is committed to helping learners stay ahead in the rapidly evolving AI-driven software testing industry. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 159 USD 109 59 USD Or USD11000 INR 9900 INR 4900 Rupees.
OR
Free Demo Session Timings:
8th June @ 9 PM – 10 PM (IST) (Indian Timings)
8th June @ 11:30 AM – 12:30 PM (EST) (U.S Timings)
8th June @ 4:30 PM – 5:30 PM (BST) (UK Timings)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)
For Participants in US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What student’s have to say about Trainer:
| The training was extremely practical and easy to understand. The trainer explained Claude AI concepts with real-time QA examples, which helped me understand how AI can actually improve testing activities. The hands-on sessions and prompt engineering examples were very useful for my daily work. – Sagarika
Excellent course for anyone working in QA or planning to upgrade their testing skills with AI. The trainer has strong industry experience and explains every topic with practical examples. The live demonstrations and real-time testing scenarios made the sessions very engaging. I particularly liked the sections on Agentic AI, exploratory testing strategies, and requirements gap analysis. The trainer also provided personal support and clarified doubts patiently after sessions. – Daniel The course content is very relevant to current industry needs. The trainer explained Generative AI concepts in a very simple way and showed how AI can actually help testers save time and improve efficiency. The practical exercises and assignments were very useful for gaining confidence. – Mohmmed I joined this course as a manual tester wanting to learn AI concepts for software testing. The trainer made the entire learning journey easy and engaging. Every topic was explained with examples, live demos, and practical exercises. The sessions on prompt engineering, AI-assisted SQL testing, exploratory testing strategies, and test case design helped me understand how modern QA teams are adopting AI. The trainer also motivated students continuously and provided career guidance throughout the course. – Vamsi Krishna An outstanding learning experience for QA professionals looking to explore the future of software testing with AI. The trainer covered everything from AI fundamentals and Claude AI capabilities to prompt engineering, requirements analysis, bug reporting, exploratory testing, and AI-assisted workflows in great detail. Every module was supported with practical demonstrations and real-world examples. The trainer also encouraged interactive learning, answered all queries patiently, and provided individual guidance based on student requirements. This course is highly valuable for anyone planning to build a strong career in AI-powered Quality Assurance. – Rajesh |
Who can enroll for this course?
- Manual Testers looking to upgrade with AI-powered testing skills
- Automation Test Engineers interested in integrating AI into QA workflows
- SDETs and QA Engineers working on modern testing practices
- QA Leads and Test Managers aiming to improve team productivity using AI
- API, Functional, and Database Testers exploring AI-assisted testing approaches
- Professionals interested in Prompt Engineering for Software Testing
- Freshers and aspiring QA professionals wanting to learn next-generation testing skills
- Anyone interested in Generative AI applications in Software Testing and Quality Assurance
Salient Features:
- Approximately 20+ Hours of Live Training
- Every session gets recorded and lifetime access to these videos will be given.
- Course Completion Certificate
What will I Learn by the end of this course?
- Understand the fundamentals of Generative AI and Large Language Models (LLMs)
- Learn how Claude AI can be effectively used in Software Testing and QA activities
- Master Prompt Engineering techniques for testing-related tasks
- Generate functional, boundary, negative, and API test cases using AI
- Create professional bug reports and perform AI-assisted root cause analysis
- Generate intelligent test data including valid, invalid, and boundary datasets
- Analyze BRDs, FRDs, and User Stories to identify gaps and ambiguities
- Perform AI-assisted exploratory testing using testing heuristics and session-based approaches
- Write and validate SQL queries with AI support for database testing
- Understand Agentic AI concepts and autonomous testing workflows
- Use advanced Claude AI features such as Projects, Artefacts, Connectors, and MCP
- Improve QA productivity, test coverage, and overall testing efficiency using AI-powered workflows
- Gain practical hands-on experience through real-time demos, exercises, and QA use cases
- Become industry-ready for modern AI-assisted QA and software testing roles