
Learn to select and deploy generative AI for qa, automation, and performance testing by evaluating models, training data, knowledge cutoff, cost, scalability, safety, bias, and prompt engineering.
Explore how to craft prompts for GenAI in software testing by detailing role, context, and instructions, with hands-on examples and frameworks like create and race to sharpen prompt design.
Explore prompt engineering frameworks—create, race, tag—driving effective AI outputs for functional testing, automation testing, and performance testing, with end-user prompts, examples, and security cautions.
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.