Gen AI, AI Agent and MCP using Claude for Software Testing – Live Training

Gen AI, AI Agent and MCP using Claude for Software Testing – Live Training

(Master AI-Powered Software Testing with Claude, AI Agents, MCP, Prompt Engineering & Real-Time Projects)

 

Isha Training Solutions presents a comprehensive live training program on Gen AI, AI Agents, and MCP using Claude for Software Testing. This course is designed for QA professionals, automation testers, performance testers, and software engineers who want to leverage AI in Functional, Automation, API, and Performance Testing through practical, real-world use cases.

Learn Prompt Engineering, Claude AI, AI Agents, Model Context Protocol (MCP), GitHub Copilot, RAG, and other modern AI tools to improve test design, automation, debugging, and productivity. Through hands-on exercises and live projects, you’ll gain the practical skills needed to implement AI-powered testing solutions and stay ahead in the evolving software testing industry.

Why Choose This Gen AI, AI Agent and MCP using Claude for Software Testing Course?

• Strong foundation in Generative AI and Claude AI for Software Testing
• Hands-on learning with Claude, ChatGPT, Gemini, DeepSeek, and GitHub Copilot
• Learn AI Agents and Model Context Protocol (MCP) with practical implementations
• Master Prompt Engineering techniques and best practices for Claude and other LLMs
• Explore advanced concepts like RAG (Retrieval-Augmented Generation) and Agentic AI
• Learn to identify and handle hallucinations, bias, and LLM limitations
• Apply AI across the Software Testing Life Cycle (STLC), from requirements to reporting
• Generate test cases, automation scripts, test data, and defect analysis using Claude AI
• Improve productivity in Functional Testing, Automation Testing, API Testing, and Performance Testing
• Gain industry-ready AI skills through hands-on projects, real-world use cases, and live training

 

About the Instructor:

Chandra Kumar has over 12 years of experience in Performance Engineering and Testing. He is a BlazeMeter Certified Apache JMeter and Microfocus LoadRunner Certified Professional. Chandra has extensive expertise with performance testing tools such as Apache JMeter, LoadRunner, and Neoload, as well as APM tools including Dynatrace, AppDynamics, PerfMon, and NMON.He has been providing professional training on Performance Test Tools and Performance Engineering for more than 2 years. In addition, he brings his expertise to “Generative AI in Software Testing: Functional, Automation, and Performance Testing”, offering participants practical insights and hands-on experience in leveraging Generative AI for enhanced software testing.

 

Sample Videos:

“Generative AI in Software Testing – Functional, Automation and Performance Testing ” -Day1 Video

“Generative AI in Software Testing – Functional, Automation and Performance Testing” -Day2 Video:

 

Live Sessions Price:

For LIVE sessions – Offer price after discount is 300 USD 259 USD 89 USD Or 13000 INR 12900 INR 6900 Rupees

Enroll For Free Demo

OR

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Free Demo On:

Indian Timings: 3rd August @ 8:00 PM – 9:00 PM (IST)/

U.S Timings: 3rd August @ 10:30 AM – 11:30 AM (EST)/

U.K Timings: 3rd August @ 3:30 PM – 4:30 PM (BST)

Class Schedule:

For Participants in India: Monday to Friday @ 8:00 PM – 9:00 PM (IST)

For Participants in the US: Monday to Friday @10:30 AM – 11:30 AM (EST)

For Participants in the UK: Monday to Friday @ 3:30 PM – 4:30 PM (BST)

 

What students have to say about Chandra Kumar:

I was good course and instructor is very experienced in the topics explained and cleared all the doubts instantly. – sangeeta “The Generative AI course was a game-changer! Chandra Sir’s practical examples, along with his deep knowledge, made learning enjoyable. The focus on performance testing with AI tools was particularly enlightening. Thank you for an amazing training experience!”- Arjun Verma “A transformative learning experience! Chandra Sir’s expertise in Generative AI for software testing opened up new horizons for me. His teaching, combined with hands-on projects, was highly effective. I highly recommend this course to anyone interested in modernizing their testing approach.” – Sneha Reddy “Excellent session! The detailed coverage of functional, automation, and performance testing using AI tools was exactly what I needed. Chandra Sir’s clear explanations and practical demos provided great insights. I appreciate the real-world case studies and tips shared during the sessions.”- Amit Raj “Chandra Sir’s teaching style is outstanding! He made advanced AI-driven testing techniques feel simple and accessible. The hands-on exercises were well-structured, and I loved how he answered every question patiently. This training has given me the confidence to explore automation testing with Generative AI.” – Neha Gupta “The training was insightful and engaging! Chandra Sir explained Generative AI concepts in software testing with real-world examples, making it easy to understand complex topics. His step-by-step approach to automation and performance testing techniques using AI was impressive. Looking forward to applying these skills in my projects!”- Rahul Sharma First of all thanks for Isha training solutions for giving this wonderful course. Chandra sir has solid experience in Gen AI software testing. He has covered with some practical examples. I have been learned few courses like performance testing, Tosca from Isha training. My journey with Isha training solutions is like around 5 years. All the best everyone who wants to explore new topics. – krishna Mohan

 

What will I learn by the end of this course?

• Basics of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI
• Difference between AI and Generative AI
• Understanding Large Language Models (LLMs) and how they work
• Introduction to Claude AI, its features, capabilities, and practical use cases
• Working with Claude for Software Testing and Prompt Engineering
• Hands-on experience with Claude, ChatGPT, Gemini, DeepSeek, and GitHub Copilot
• Core concepts of Prompt Engineering and prompt frameworks
• Advanced prompting techniques (Zero-shot, One-shot, Few-shot, Chain-of-Thought, and Context Prompting)
• Understanding AI hallucinations, bias, limitations, and best practices
• Introduction to Retrieval-Augmented Generation (RAG) and its architecture
• Understanding AI Agents and Model Context Protocol (MCP)
• Applying AI throughout the Software Testing Life Cycle (STLC)
• Generating test cases, test data, automation scripts, and bug reports using Claude AI
• AI-assisted Functional, API, Automation, and Performance Testing
• AI-based test planning, execution, reporting, and test optimization

Salient Features

• 25 Hours of On-Demand Live Sessions and Recorded Videos: Gain One Year Access to extensive training materials.
• Course Completion Certificate: Receive a certificate upon successful completion of the course.
• Hands-On Projects: Engage in real-world projects and live applications to apply the skills learned, ensuring practical, hands-on experience

 

Who can enroll for this course?

• Software Testers (Manual & Automation)
• QA Engineers, Test Leads, and QA Managers
• Automation Test Engineers and Performance Test Engineers
• Developers interested in AI-powered development and testing
• Freshers aspiring to build a career in AI-powered Software Testing
• Business Analysts and Product Owners
• Professionals interested in Claude AI, Generative AI, AI Agents, MCP, LLMs, and Prompt Engineering
• Anyone looking to upgrade their skills for AI-driven QA and Software Testing roles

 

Course syllabus:

Gen AI Fundamentals – (3 Hours)

1. Introduction, Key concepts and terms:

• Overview of Artificial Intelligence (AI) and its significance
• Machine learning
• Deep learning
• Natural language processing
• Generative AI
• Language model

2. Difference between AI and Gen AI

3. Types of language models:

• Large language models
• Small language models

4. How do LLMs work

• Architecture and mechanisms behind LLMs

5. What is a prompt:

• Definition and role of prompts in AI interactions

6. Limitations of LLMs

•  Cognitive Constraints
•  Security Risks
•  Privacy and Legal Concerns

7. Language model parameters

• Technical parameters
• Behavioral parameters

8. Applications and use cases of AI

•  Chatbots, virtual assistants, and customer service
•  Code generation, content creation, and predictive analytics

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LLM Examples and Set up – (1 Hours)

9. Introduction to LLMs and their examples

10. Set up of different LLMs – ChatGPT, Gemini, DeepSeek, GitHub Copilot

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Prompt Engineering – (4 Hours)

11. What is prompt engineering

• Introduction to prompt engineering
• Definition and significance of crafting effective prompts

12. Prompt components

• Basic prompt structure

13. Prompt Frameworks

14. Formatting and prompt parameters

• Formatting styles
• Temperature, Max tokens and Stop sequences

15. Prompt tuning process

• Adjusting prompts for specific responses
• Iterative testing and refinement of prompt phrasing

16. Different prompting techniques

• Shot based prompting
• Sequential prompting
• Context guiding prompting

17. Handling Hallucinations and Biases

18. Best practices

• Best practices in prompt engineering

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Claude and its features (2 Hours)

19. Introduction to Claude

20. How does it work and its different featues

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RAG, Agentic AI and MCP servers – (2 Hours)

21. Introduction to RAG (Retrieval-Augmented Generation)

22. How RAG works and its benefits

23. Introduction to Agentic AI

24. How Agentic AI works and its examples

25. Introduction to MCP servers

26. Working with MCP servers

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Gen AI in Software Testing – (4 Hours)

27. Requirement analysis

• Requirement analysis with AI conversational tools
• Deeper understanding of requirements
• Identify testable requirements
• Requirement traceability matrix

28. Test planning

• Test strategy and approach preparation
• Selection of different testing tools
• Effort estimation
• Risk-based test prioritization
• Identify different types of performance tests 

29. Test case development

• Functional test case creation
• Automation script development
• Performance test script development
• Optimizing test coverage and identifying edge cases
• Test data creation

30. Test environment set up

• Test environment creation plan
• Test environment selection
• Verification of test environment

31. Test execution

• Defect creation
• Performance bottlenecks
• Defect reporting
• Daily and weekly status

32. Test cycle closure

• Assess the test closure cycle
• Test results analysis
• Test metrics preparation
• Test report creation

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FAQs-Gen AI, AI Agent and MCP using Claude for Software Testing

1. What is Generative AI?

Generative AI is a type of AI that can create content like text, code, images, and more using models like ChatGPT and Gemini.

2. Do I need programming knowledge for this course?

Basic knowledge is helpful, but not mandatory. The course is designed for both beginners and professionals.

3. Which tools will I learn?

You will work with ChatGPT, Gemini, DeepSeek, and GitHub Copilot along with prompt engineering techniques.

4. What is Prompt Engineering?

Prompt Engineering is the skill of designing effective inputs (prompts) to get accurate and useful responses from AI models.

5. What is RAG in AI?

RAG (Retrieval-Augmented Generation) improves AI responses by combining external data with language models.

6. How is this course useful for software testers?

This course teaches how to use AI for test case creation, automation, defect analysis, and performance testing, making testers more productive.

7. Will I get hands-on practice?

Yes, the course includes practical examples, real-time use cases, and tool-based learning.

8. What career opportunities after this course?

You can explore roles like:
AI Test Engineer
Automation Tester with AI
QA Engineer (AI Tools)
Prompt Engineer
AI Analyst

How can I enroll for this course?

 

Enroll For Free Demo

OR

For any other details, Call me or Whatsapp me on +91 9133190573

 

Live Sessions Price:

For LIVE sessions – Offer price after discount is 129 USD 109 USD 89 USD Or 15000 INR 9900 INR 6900 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.

Testimonials: