In today’s rapidly evolving software landscape, testing teams must adapt to growing complexities, tighter deadlines, and escalating quality expectations. This course introduces participants to the transformative potential of Generative AI (GenAI) in the testing domain.
Through a blend of theory and demonstrations, learners will discover how to use Large Language Models (LLMs) to streamline test case generation, enhance reporting and analysis, and generate synthetic data—without requiring extensive coding or advanced machine learning expertise.
By the end of the course, attendees will have practical strategies for integrating GenAI tools into their current workflows, improving test coverage, identifying edge cases, and making informed, data-driven decisions that elevate the overall quality and reliability of their software.
Generative AI encompasses AI technology that can generate things like text, images, and audio through the help of Large Language Models (LLMs). Users of GenAI will pass along prompts or inputs, engineering a request that should be specific enough for it to understand the output it should produce.
In this course, we'll be learning about how we can craft the prompts given to GenAI through Prompt Engineering. As well as cover fundamental topics that will get you going with using GenAI in your workflow.
Generative AI encompasses AI technology that can generate things like text, images, and audio through the help of Large Language Models (LLMs). Users of GenAI will pass along prompts or inputs, engineering a request that should be specific enough for it to understand the output it should produce.
In this course, we'll be looking at AI Ethics. What should we as users and developers of AI technologies be aware of as we use AI. Specifically, what responsibilities do we have to consumers of the content created by GenAI and what issues can happen within AI.
Generative AI encompasses AI technology that can generate things like text, images, and audio through the help of Large Language Models (LLMs). Users of GenAI will pass along prompts or inputs, engineering a request that should be specific enough for it to understand the output it should produce.
In this course, we'll be diving deeper into Prompt Engineers. What is their role? And why is this role becoming more popular with the rise of AI?
