Generative AI in Software Testing – Functional, Automation and Performance Testing – Live Training
(Types of Language Models, Prompt Engineering & Prompting Techniques, Leveraging AI Across All Phases of Software Testing)
Isha Training Solutions presents an Extensive and Highly Interactive Course: “Generative AI in Software Testing: Functional, Automation, and Performance Testing” Led by a seasoned industry expert with over 12 years of hands-on experience, this course offers comprehensive, practical insights into Generative AI applications in software testing. With a curriculum designed to align with current job market trends and industry demands, participants will gain in-depth knowledge of Generative AI concepts through real-world examples and hands-on practice.
The use of Generative AI is becoming increasinlgy important in every phase of SDLC. It can also be leveraged in the field of software testing. To harness the potential of this technology in testing, you must learn to interact with different Gen AI tools. This course is designed to make you skilled to use LLMs in different phases of software testing.
Why Learn Generative AI in Software Testing?
- Generative AI is one of the most in-demand skills in software testing
- Learn how to use AI tools for test case generation, test data creation, and defect analysis
- Improve productivity in manual testing, automation testing, and performance testing
- Gain practical skills in AI-driven requirement analysis and test planning
- Increase job opportunities for QA engineers, automation testers, and test leads
- Prepare for future roles in AI testing, Gen AI testing, and intelligent QA automation
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– Demo
Generative AI in Software Testing – Functional, Automation and Performance Testing– Day1
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 89 USD Or USD13000 INR 12900 INR 6900 Rupees
OR
Day 2 Session On:
Indian Timings: 21st January @ 9 PM – 10 PM (IST)/
U.S Timings: 21st January @ 10:30 AM – 11:30 AM (EST)/
U.K Timings: 21st January @ 3:30 PM – 4:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9:00 PM – 10:00 PM (IST)
For Participants in the US: Monday to Friday @ 10:30 AM – 11:30 PM (EST)
For Participants in the UK: Monday to Friday @ 3:30 PM – 4:30 PM (BST)
What students have to say about Chandra Kumar:
| “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?
- Understand Generative AI, Large Language Models (LLMs), and AI fundamentals
- Use popular AI tools for software testing like ChatGPT, Gemini, and GitHub Copilot
- Learn prompt engineering techniques for accurate and reliable AI outputs
- Apply AI in requirement analysis, test planning, and test case creation
- Generate functional, automation, and performance test cases using AI
- Create test data, defect reports, and test metrics with Generative AI
- Improve efficiency in manual testing, automation testing, and performance testing
Salient Features
- 25 Hours of On-Demand Live Sessions and Recorded Videos: Gain lifetime 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?
- Manual testers looking to upgrade skills with AI in software testing
- Automation testers and SDET professionals
- Performance testing engineers
- QA engineers, QA leads, and test managers
- Software developers interested in AI-driven testing
- Freshers and career aspirants entering the software testing domain
- Corporate professionals seeking Gen AI upskilling for QA teams
Course syllabus:
Gen AI Fundamentals – (4 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 of AI
LLM Examples and Set up – (2 Hours)
9. Introduction to LLMs and their examples
10. Set up of different LLMs – ChatGPT, Gemini, DeepSeek, GitHub Copilot
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
RAG, Agentic AI and MCP servers – (3 Hours)
19. Introduction to RAG (Retrieval-Augmented Generation)
20. How RAG works and its benefits
21. Introduction to Agentic AI
22. How Agentic AI works and its examples
23. Introduction to MCP servers
24. Working with MCP servers
Gen AI in Software Testing – (4 Hours)
25. Requirement analysis
- Requirement analysis with AI conversational tools
- Deeper understanding of requirements
- Identify testable requirements
- Requirement traceability matrix
26. Test planning
- Test strategy and approach preparation
- Selection of different testing tools
- Effort estimation
- Risk-based test prioritization
- Identify different types of performance tests
Gen AI in Software Testing Cont. – (4 Hours)
27. Test case development
- Functional test case creation
- Automation script development
- Performance test script development
- Optimizing test coverage and identifying edge cases
- Test data creation
28. Test environment set up
- Test environment creation plan
- Test environment selection
- Verification of test environment
Gen AI in Software Testing Cont. – (4 Hours)
29. Test execution
- Defect creation
- Performance bottlenecks
- Defect reporting
- Daily and weekly status
30. Test cycle closure
- Assess the test closure cycle
- Test results analysis
- Test metrics preparation
- Test report creation
How can I enroll for this course?
OR
For any other details, Call me or Whatsapp me on +91 90529 03733
Live Sessions Price:
For LIVE sessions – Offer price after discount is 129 USD 109 89 USD Or USD15000 INR 9900 INR 6900 Rupees.