AI for QA Developers – Basic

Course description

This entry-level course is designed for QA professionals to understand the fundamentals of Generative AI (GenAI) and how it complements and enhances QA workflows. Participants will explore how Large Language Models (LLMs)—such as GPT, Claude, Gemini, or other provider-agnostic AI tools—can streamline test case generation, error detection workflows, and defect reporting. Through hands-on practice and practical examples, participants will learn to leverage LLM-based tools to improve testing efficiency, enhance code quality, and automate repetitive QA processes.

Note: Please note that the tools and technologies covered in this course are subject to change, as the field of Generative AI is evolving at an exceptionally rapid pace.

Target Audience

· Junior QA engineers, testers, and QA analysts seeking to understand and adopt Generative AI in their workflows.

· QA teams exploring entry-level automation of repetitive tasks such as test case generation or documentation review.

· QA employees with little/no AI experience who focus on manual testing or process optimization.

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