Claude AI for QA Engineers

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:

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.

 

Claude AI for QA Engineers – Demo Video

Claude AI for QA Engineers – Day1 Video

 

Live Sessions Price:

For LIVE sessions – Offer price after discount is 159 USD 109 USD 59 USD Or 11000 INR 9900 INR 4900 Rupees.

Enroll For Free Demo

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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

 

Course syllabus:

Overview:

1. Module 0 – Orientation & Course Philosophy
2. Module 1 – Foundations of Gen AI & Large Language Models
3. Module 2 – Agentic AI & Autonomous Testing Agents
4. Module 3 – Prompt Engineering for QA Professionals
5. Module 4 – Claude for Test Case Design & Coverage
6. Module 5 – Bug Reporting & Root Cause Analysis
7. Module 6 – Test Data Generation
8. Module 7 – Requirements Analysis & Gap Detection
9. Module 8 – AI-Assisted Exploratory Testing Strategy
10. Module 9 – SQL & Database Testing using AI
11. Module 10 – Claude AI Advanced Features for QA Teams

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Module 0 – Orientation & Course Philosophy

Objective: Understand the role of AI in QA and how AI augments testing rather than replacing testers.

Topics Covered

• AI transformation in software testing
• Human judgment + AI speed philosophy
• Course structure and learning roadmap
• Tools and prerequisites for learners

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Module 1 – Foundations of Gen AI & LLMs

Objective: Learn AI fundamentals, Generative AI concepts, and Claude capabilities.

Topics Covered

• What is AI?
• Traditional AI vs Machine Learning vs Generative AI
• Tokens, context window, hallucinations
• Claude model family – Haiku, Sonnet, Opus
• Where Claude helps in QA

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Module 2 – Agentic AI & Autonomous Testing Agents

Topics Covered

• Reactive AI vs Agentic AI
• Model Context Protocol (MCP)

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Module 3 – Prompt Engineering for QA Professionals

Topics Covered

• Prompt anatomy
• CQRT Framework
• Zero-shot, Few-shot, Chain-of-thought prompting
• System prompts
• Iterative prompting

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Module 4 – Claude for Test Case Design & Coverage

Objective: Generate comprehensive test cases using Claude AI.

Topics Covered

• Functional test case generation
• Boundary value analysis
• Negative and adversarial testing
• API testing

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Module 5 – Bug Reporting & Root Cause Analysis

Topics Covered

• Bug lifecycle
• Writing better bug Reports

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Module 6 – Test Data Generation

Topics Covered

• Valid, invalid, and boundary datasets

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Module 7 – Requirements Analysis & Gap Detection

Topics Covered

• Requirement documents – BRD, FRD, User Stories
• Ambiguity detection
• Missing acceptance criteria
• Definition of Ready review
• Requirements review reports

Learning Outcomes

• Detect vague requirements
• Identify missing edge cases
• Prepare professional review reports

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Module 8 – AI-Assisted Exploratory Testing Strategy

Topics Covered

• Exploration charters
• Session-Based Test Management
• Testing heuristics
• Session reports
• Stakeholder summaries

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Module 9 – SQL & Database Testing using AI

Topics Covered

• AI-Assisted SQL Writing

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Module 10 – Claude AI Advanced Features for QA Teams

Topics Covered

• Claude Projects
• Claude Artefacts
• Claude Connectors
• Claude Cowork
• MCP
• AI Powered QA Workflows

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Live Sessions Price:

Call or Whatsapp Kumar gupta @ +91-9133190573

OR

Enroll For a Free Demo

 

For LIVE sessions – Offer price after discount is 159 USD 109 USD 59 USD Or 11000 INR 9900 INR 4900 Rupees.

 

Sample Course Completion Certificate: 

Your course completion certificate looks like this……

 

Note:

To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.

To reiterate, moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.

We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.