Boosting Personal Productivity with AI
This workshop aims to introduce participants to the practical applications of AI in Quality Assurance (QA).
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LanguageCZ/EN Duration of the course1 day (from 09:00 to 17:00) LevelBasic PlaceOn-site
About the workshop
This workshop aims to introduce participants to the practical applications of AI in Quality Assurance (QA). Based on model situations of real-world project scenarios, participants will learn how AI can be used to solve common problems without requiring you to be an Excel guru or a scripting wizard.
Workshop format:
Hands-on, interactive exercises simulating real-world scenarios.
Focus Areas:
Test planning, analysis, design, test case creation, and addressing common challenges.
Key topics
- Demystifying AI for QA: Explore the benefits, limitations, and how to choose the right AI tool for specific tasks
- AI-Driven Planning & Analysis: Learn how to optimise test plans, analyse requirements, assess risks, and extract insights using AI
- AI-Assisted Test Design & Creation: Discover how to generate test cases efficiently based on requirements, prioritize and select them for execution with AI
- Conquering Challenges in AI-Powered QA: Learn prompt engineering, common pitfalls and best practices of working with AI
Workshop requirements
- BYOT (Bring Your Own Tools):
Bring your laptop and use your preferred AI tools. Our e-book could inspire you and help you choose the right AI.
Trainers
David Sedláček
Test Manager
I left development and have been primarily involved in quality assurance and management for more than 8 years. Since 2018, I have also been working on projects related to AI/ML, and today I am interested in the practical use of artificial intelligence in design and quality assurance.
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Jakub Benešovský
Test Automation Engineer
A Test automation engineer with a passion for technology and artificial intelligence. He has been working in quality assurance since 2021, focusing on creating efficient automated tests and improving testing processes. Before moving into software testing, he worked in a chemical laboratory, where he did not see enough opportunities for personal growth or creativity. Transitioning to the field of software testing allowed him to continuously learn, solve complex problems, and make a real impact on projects. Since the public launch of ChatGPT, he has been using it regularly in his daily work to support testing, development, and productivity. He is always looking for ways to combine technology, automation, and artificial intelligence to create smarter, faster, and more reliable testing solutions.
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Upcoming dates
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