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Udemy

GenAI & Prompt Engg for QA, Automation & Performance Testing

via Udemy

Overview

Test Faster. Smarter. Better with GenAI

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

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.

Syllabus

  • Gen AI Fundamentals Introduction
  • Key Concepts And Terms
  • How do LLMs work and their limitations and Prompt
  • Hand-Outs / Course Material
  • Limitations of LLM & Security risks
  • Language model parameters and Applications and use cases of AI
  • Prompt components and Prompt frameworks
  • Basic prompt structure and Prompt frameworks
  • Prompt frameworks and Examples
  • Formatting and prompt parameters and Prompt tuning process
  • Prompting techniques
  • Prompting techniques examples
  • Hallucination And Biases & Best practices/AI in Software Testing
  • AI in Software Testing -Requirement analysis
  • Requirement analysis with AI conversational tools
  • Test planning and Test strategy and approach preparation
  • Selection of different performance testing tools and Effort estimation
  • Risk-based test prioritization and Identify different types of performance tests
  • Test case development and Test case creation
  • Performance test script development
  • Test data creation
  • Test environment set up and Test environment creation plan
  • Test environment selection and Verification of test environment
  • Test execution
  • Performance bottlenecks, Defect reporting, Daily and weekly status
  • Test cycle closure and Test results analysis
  • Test metrics preparation and Test report creation

Taught by

Kumar Gupta Isha Training Solutions and Anand Kumar Gupta

Reviews

4.5 rating at Udemy based on 180 ratings

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