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GenAI & Prompt Engg for QA, Automation & Performance Testing

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  • 2,336 Students
  • Updated 10/2025
  • Certificate Available
4.7
(44 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
21 Hour(s) 42 Minute(s)
Language
English
Taught by
Kumar Gupta Isha Training Solutions, Anand Kumar Gupta
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.7
(44 Ratings)

Course Overview

GenAI & Prompt Engg for QA, Automation & Performance Testing

Test Faster. Smarter. Better with GenAI

Welcome to "Isha Training Solutions"


** Please note: This course is a recording of live sessions, so you will hear student interactions throughout. We recommend watching the free preview videos first. If you like the content, you can then decide whether it’s worth your time and investment.**


'GenAI & Prompt Engg for QA, Automation & Performance Testing'
is a comprehensive, hands-on course designed to equip Automation Testers, Performance testers, software testers, QA professionals, and developers with the knowledge and skills to harness the power of Generative AI in modern testing workflows.

Through engaging lectures and real-world examples, this course covers the foundations of artificial intelligence, large language models (LLMs), and prompt engineering. Participants will learn how to design effective prompts, understand AI model behavior, and apply these tools to various stages of the software testing lifecycle — from requirement analysis to test planning, execution, and reporting.

With a strong emphasis on practical use cases, security considerations, and ethical AI usage, this course ensures participants are ready to confidently integrate AI tools like ChatGPT and JMeter into their daily testing activities for improved accuracy, efficiency, and insight.

Students will also explore key AI parameters such as tokens, temperature, and context length, and how tuning them impacts results. The course highlights techniques like few-shot and zero-shot prompting, enabling more precise and context-aware test generation. Whether you're aiming to improve test coverage or reduce manual workload, this course provides the tools and techniques to take your QA practices to the next level using cutting-edge AI capabilities.

Course Content

  • 27 section(s)
  • 27 lecture(s)
  • Section 1 Gen AI Fundamentals Introduction
  • Section 2 Key Concepts And Terms
  • Section 3 How do LLMs work and their limitations and Prompt
  • Section 4 Hand-Outs / Course Material
  • Section 5 Limitations of LLM & Security risks
  • Section 6 Language model parameters and Applications and use cases of AI
  • Section 7 Prompt components and Prompt frameworks
  • Section 8 Basic prompt structure and Prompt frameworks
  • Section 9 Prompt frameworks and Examples
  • Section 10 Formatting and prompt parameters and Prompt tuning process
  • Section 11 Prompting techniques
  • Section 12 Prompting techniques examples
  • Section 13 Hallucination And Biases & Best practices/AI in Software Testing
  • Section 14 AI in Software Testing -Requirement analysis
  • Section 15 Requirement analysis with AI conversational tools
  • Section 16 Test planning and Test strategy and approach preparation
  • Section 17 Selection of different performance testing tools and Effort estimation
  • Section 18 Risk-based test prioritization and Identify different types of performance tests
  • Section 19 Test case development and Test case creation
  • Section 20 Performance test script development
  • Section 21 Test data creation
  • Section 22 Test environment set up and Test environment creation plan
  • Section 23 Test environment selection and Verification of test environment
  • Section 24 Test execution
  • Section 25 Performance bottlenecks, Defect reporting, Daily and weekly status
  • Section 26 Test cycle closure and Test results analysis
  • Section 27 Test metrics preparation and Test report creation

What You’ll Learn

  • Understand the Fundamentals of Generative AI and Language Models
  • Develop Effective Prompt Engineering Skills
  • Apply Generative AI in the Software Testing Lifecycle
  • Evaluate AI Outputs with a Focus on Security, Ethics, and Practicality


Reviews

  • A
    Anil Kumar
    5.0

    Till now how much I have watched,it's a wonderful session,I will provide my detailed after completing the whole session

  • M
    Murali Kalasa Ramachandra
    4.0

    Good examples and concept is explained in better way

  • S
    Soniya Thomas
    5.0

    Good starting for Al learning.

  • U
    Udemy User
    5.0

    I found it very informative and engaging.The courses covered the basic to intermediate topics.the instructor explained concepts clearly.this course is great starting point.Highly recommended for the people who are curious about the future of ai

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