Dates & Booking

This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning Community:A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.

Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).

You will learn what artificial intelligence is, how AI works and what prerequisites AI requires.

You will learn how artificial intelligence can add value - for industries, companies and specialist areas.

With the AI periodic system, you will systematically learn about the components and mode of action of artificial intelligence.

You will be provided with tools and methods to determine the potential of AI for your company and identify specific use cases.

You will learn how to use artificial intelligence to increase productivity and automate processes in your company.

You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.

Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.

This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning Community:A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.

Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).

• You are aware that the phase before the actual implementation sets the course for project success, especially in cost-intensive AI projects. Careful use case selection is essential.
• You will learn the central role that data plays in finding AI use cases and that the chances of success in implementing the use case also depend on it.
• You have internalized that well-chosen AI project plans always have strategic relevance and thus create competitive advantages, as they start at the core.
• You analyze and evaluate AI project plans based on criteria and can thus also make their economic benefits measurable.
• You have an eye on resource efficiency and can make well-founded make or buy decisions, among other things.
• You have filled your toolbox to create acceptance and trust for the AI project among the relevant stakeholders right from the start, so that you can start implementation.
• You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.
• Take an active part in our learning community and work with your own questions - this is how you will benefit most from this online training. This allows you to apply the content both in self-study and in practical exercises.

This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning Community:A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.

Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).

You will learn what artificial intelligence is, how it works and what you can use AI for.

You will learn about the importance of data for automation, analysis and the creation of models and what is important when it comes to data quality .

You can clean and prepare data to implement your own mining or machine learning projects.

You will get to know the technical processes in machine learning and will be able to communicate these clearly within the company.

You will gain your first practical experience of working on data and training sets and will be able to apply your knowledge immediately afterwards.

You are able to make informed decisions about the use of AI in your company and can communicate with technical departments on an equal footing.

You will qualify in a new field of expertise that will play a major role in the future and is already in high demand today.

Take an active part in our online community and work with your own questions - this is how you will benefit most from this online training. This will allow you to apply the content both in self-study and in practical exercises.

This course offers a digital blended learning approach designed for working professionals. Through a flexible combination of online seminars and self-study sessions, you’ll be sure to achieve your goals. Here’s what you’ll learn in this training program:

Learning environment: In your online learning environment, you will find useful information, downloads and extra services for this training course after you have registered.

Self-study phases: Learn independently, at your own pace and whenever you want. Our courses offer you didactically high-quality learning material. 

Live webinars: In regular online seminars, you will meet your trainers in person. You will receive answers to your questions, specific assistance and instructions on how to deepen your knowledge and apply the skills you have acquired in practical exercises.

Learning Community:A digital learning community will be available to you throughout the course. trainers with other participants and the trainers , and ask any questions you may have.

Certificate of Completion and Open Badge:As a graduate of the class, you will receive a certificate of completion and an open badge, which you can easily share on professional networks (such as LinkedIn).

You'll learn what operationalization really means—and why it's the most challenging step in the entire AI journey.

You know how to systematically evaluate a completed proof of concept and make an informed go/no-go/pivot decision—using a clear scorecard as the basis for your decision.

You'll learn which roles are needed in the AI team at each stage, how they work together, and how you can actively shape the transition from an experiment to a stable product.

You’ll learn practical methods for building acceptance of AI solutions within your organization—and understand why implementing AI is always a change management project.

You'll learn how to keep an AI system stable, transparent, and useful in production—from operational models and data governance to the three dimensions of AI monitoring.

You will gain expertise in a field that is already in high demand today and will become even more important in the future.

Get actively involved in our online community and work on your own questions—that way, you can apply what you learn directly to your day-to-day business operations.

Current status of AI development and regulation

• Classification of the AI Act in an international context.
• Overview of the development of the AI Act.

Regulatory system of the AI Act

• What are the building blocks of European artificial intelligence regulation?
• What regulatory approach does the AI Act take?
• What additional regulations will accompany the AI Act?
• How should the EU Commission's guidelines and harmonized standards be classified?

Definition of the AI system

• What are the conceptual elements of an AI?
• What are the different AI categories?

Risk categories for AI systems

• What risk categories does the AI Act recognize?
• How are the categories differentiated from one another?

Compliance requirements for high-risk AI systems

• When is an AI system high-risk? Which exceptions apply?
• What compliance obligations must providers observe?
• What obligations apply to operators?

Special regulations for General Purpose AI (GPAI)

Sanctions and supervisory system

• Who monitors compliance with the AI Act?
• What are the penalties for violating compliance requirements?
• Can compensation also be claimed?

In your online learning environment, you will find useful information, downloads and extra services for this training course once you have registered.

• You can classify the regulatory objectives of the AI Act and are familiar with its regulatory technology.
• You know the four risk categories and can assign the systems used in the company accordingly. 
• You know which compliance requirements need to be met for your specific context.
• You know which supervisory authority oversees your AI application.
• You are up to date regarding the assertion of claims for damages for defective AI.

The prerequisite for taking the exam is participation in the four courses of the Master Class. We recommend attending all courses within a maximum of two years and completing the exam close to the last course attended. 

The content of all four Master Class courses is relevant for the exam.As soon as you have booked the exam, you will see it in your learning environment.There is a tile with more detailed information about the exam, as well as a small mini-preview of the format of the e-exam with various sample questions.  

The exam takes place online. It can be completed from the comfort of your own home or office within a set time frame. It consists of two parts: 

• E-exam: 20 multiple-choice questions on the content of the four Master Class courses. 
• Practical exam: Development of your own AI use case for your own company based on the structure of the AI Project Canvas. Depending on the preliminary work in the four courses of the Master Class, approx. 3 - 4 hours should be planned.