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
Generative AI in Software Testing: From Fundamentals to Applications is a comprehensive, hands-on course designed to equip 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.
Who this course is for:
- Software Testers and QA Engineers
- Software Developers
- Business Analysts and Product Owners
- IT Professionals and Tech Enthusiasts
- Students and Career Changers
