Hands-on Quality Engineering with AI
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Practical training AI in Quality Engineering
Artificial Intelligence (AI) has become an integral part of modern society. Polteq’s practical, hands-on, and immediately applicable training is highly recommended for anyone looking for a course with plenty of exercises that can be put into practice the very next day. This training does not include an exam.
Related or follow-up trainingen
In this training, you’ll spend a lot of time writing prompts and exploring the possibilities AI offers in your daily (test) project work. We’ll discuss the risks associated with AI and how to mitigate them. Through exercises, we’ll focus on implementing AI in your organization.
The training focuses on the direct application of AI in testing processes. Typical topics we’ll cover include the fundamental concepts and technologies behind AI. We also explore the significance of specific characteristics such as ethics, transparency, and explainability.
What are the limitations and risks of using AI in software testing and development? Which prompt engineering techniques can you apply in test analysis, design, automation, and reporting? You will learn to identify risks such as hallucinations, reasoning errors, bias, privacy, and security, and we will explore how to mitigate them.
After this training, you will be able to immediately contribute to developing AI strategies and transforming testing processes within your organization.
This training is given in Dutch
This training is given in Dutch
* Is the training currently not scheduled in your preferred language? Please contact us regarding the possibilities.
The investment for participating in this training course is €1,275 per person, excluding VAT.
Topics covered during this training are:
Fundamental concepts and different types of AI
Specific characteristics of AI, including ethics, transparency, and explainability.
Technologies behind AI and the limitations of using AI in testing.
Apply prompt engineering techniques in practical exercises.
Identify and mitigate risks such as hallucinations, reasoning errors, biases, privacy, and security.
Gain insight into the applications of AI solutions for testing.
Contribute to strategies for the adoption of AI and the transformation of testing processes within organizations.
Who is this training for?
This practical, hands-on training is intended for testers, business analysts, functional administrators, product owners, test automation engineers, test managers, developers, and IT leaders who are ready to embrace AI-driven quality assurance practices.
