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Introduction to AI Quality

Kategorien: Introduction course
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Über den Kurs

Dear participants,

welcome to our course “Introduction to AI Quality”!

We are thrilled to have you join us on this exciting flight of exploring the fascinating realm of AI Quality and Testing. An open mind and a curious spirit is everything you need to complete this course.

Artificial Intelligence, or AI, has become an integral part of our lives, revolutionizing industries and shaping the way we interact with technology. However, the key to unlocking its true potential lies in ensuring the quality of AI systems. In our modern world, where AI ranges from various sectors- namely from healthcare and finance to transportation and entertainment- understanding AI quality is not only something optional, but it has become an indispensable skill. By grasping the principles and techniques behind AI quality, you will position yourself as a frontrunner in the realm of sustainable innovation. This knowledge empowers you to contribute to the development of AI systems that are not only intelligent but also reliable, robust, and trustworthy.


Explore AI Quality
Throughout this course, we will unravel the essential elements of AI quality, including technical, regulative and ethical considerations. To explore practical techniques and industry´s best practices, we have included multiple perspectives such as those of the manager and of the operations that will equip you with the knowledge and skills needed to evaluate, enhance, and ensure the quality of AI systems.


Complete course
Our online solutions are series of courses in which you gain an overview. To get started, subscribe directly to the course and review its modules and select the one you want to start with.
When you subscribe to a course, you automatically subscribe to the entire modules. It’s okay if you only want to complete one module- you can pause your learning or cancel your subscription at any time. Go to your learner dashboard to track your course enrollments and progress.

Earn a certificate
Once you have completed all modules you will receive a certificate that you can share with potential employers and your professional network.


Contact us
Please reach out to our team of experienced instructors if you have questions: They are passionate about sharing their expertise and guiding you on this transformative learning journey.


Start the course
So, get ready to expand your horizons, challenge your intellect, and unlock the insights of AI quality. You can start the class now, enjoy! Best, AI Quality & Testing Hub Team

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Was werde ich lernen?

  • Knowledge on basic prerequisites to comply with coming global regulation of AI.
  • Estimate impact on your products for market compliance.
  • Understanding what is needed to achieve AI Trust Label conformity.
  • Skills to determine if development fits within AI Quality requirements.
  • Understanding of testing frameworks, tools and benchmarks.


Defining the scope, context and criteria of AI quality ​
In this module, you will first acquire a basic understanding of what AI quality means and why it is important. For this, we will show you multiple angles of AI quality, both on the technical and normative and ethical side including their possible quality criteria. Enjoy!

  • Introduction
  • Overview on AI Quality
  • Technical performance measures and robustness​
  • Ensuring Privacy
  • Non discriminative, fair and minimization of other biases
  • Transparency and explainability
  • Safety and security
  • Accountability, auditability and liability
  • Wrap-Up
  • Defining the scope, context and criteria of AI quality

International AI Regulation and its impact on product development
In this module, you will gain an overview on the international landscape of AI regulations and standards with a deep-dive into the European standards (EU AI ACT). You will understand the risk-based approach and the risk classes with lists and examples, including horizontal vs vertical and harmonized standards. Enjoy!

Trust Classes, AI Trust Label and standardization​
In this module, you get insights into a pre-standardization approach developed by industry, namely the AI Trust Label. By looking closer into the trust classes and properties, you will understand the indicators and their assessment and their aggregation. Enjoy!

Managing quality within the AI product life cycle​
In this module, you will learn about AI governance from a manager perspective by getting hands on concrete technicalities and tools for adequate data governance, data management procedures and procedural tools to be implemented by providers of AI systems. You will know how they provide operational and process-related guidance. Enjoy!

Operationalizing AI: Accessing and testing properties of AI enabled systems
In this module, you will get an overview on how developement and operation of AI systems work by understanding the viewpoint of AI Engineers and MLOps specialists. For this, we share and compare tools and metrics for trustworthy AI with you, so that you get a feeling for technical issues such as bias detection, transparency, performance, robustness, safety and security. Enjoy!