Dates & Booking

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

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 is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

• You understand how data science and artificial intelligence can support you in data-driven projects to generate significant added value .
• You will learn the prerequisites for a data-driven project by creating the necessary data mindset and highlighting the corresponding change management.
• You will receive a clear roadmap of the steps required in a data-driven project and will be able to define the necessary tasks and roles.
• You will learn how to use data strategically and how to develop a compelling value proposition to ensure that your data projects directly contribute to business objectives.

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

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 is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

• You understand how a PoC is structured and what really matters in the early stages. 
• You will learn how to explore data in a structured way and confidently recognize initial patterns. 
• You understand how hypotheses create structure, focus, and clarity in data projects. 
• You recognize which data structures are relevant—and when a data set is unsuitable for a PoC . 
• You understand how to classify missing values, outliers, or measurement errors. 
• You are able to apply statistical principles in a targeted manner to better understand correlations. 
• You know how to classify time seriesand can recognize and interpret important patterns. 
• You document findings in such a way that they can be directly reused in the project. 
• You are able toderive meaningful adjustments, transformations, and next steps. 
• Based on your analyses, you make an informed go/no-go decision for the PoC. 

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

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 is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

• You understand the central principles of modern AI and ML methods and can differentiate between which method is suitable for which problem.
• You will learn how to set up ML projects correctly from the outset —from requirements to data understanding to data preparation with pipelines.
• You can systematically model data and select, apply, and evaluate common models —from simple regression methods to decision trees to simple neural networks.
• You know how to make ML solutions productive in your company 
• You will learn how to use large language models (LLMs) in a targeted and responsible manner within your company and understand the most important legal and organizational frameworks, such as data protection and the EU AI Act.
• This will qualify you to successfully carry out practical ML and AI projects and build skills that are increasingly business-critical in data-driven organizations.

This course offers you a digital blended concept that has been developed for part-time learning. Thanks to a flexible mix of online seminars and self-study phases, you are sure to reach your goal. This is how you learn in this course:

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 is available to you throughout the course. Exchange ideas with other participants and the trainers and ask questions.

Future Jobs Club: Get exclusive access to a business network, news, and future work hacks.

Certificate of completion and Open Badge: As a graduate of the course, you will receive a certificate of completion and an Open Badge, which you can easily share on professional networks (including LinkedIn).

• You understand why the transition from PoC to productive solution is the decisive success factor for data projectsand how to design it systematically. 
• You recognize the technical, organizational, and communication requirements that a data product must meet in order to function reliably in everyday use. 
• You will learn to evaluate PoCs in a structured manner and make informed decisions about whether to continue, stop, or pivot. 
• You know how data solutions are automated, monitored, and managed throughout their lifecycle. 
• You can document data products in such a way that they are traceable and reproducible. 
• You master storytelling, reporting, and change communication as key levers for building acceptance and making business impact visible. 
• You will gain qualifications in a field of expertise that will be indispensable in all data-driven companies in the future. 
• You benefit from an active learning community, practical exercises, and the opportunity to contribute your own use cases. 

• 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.

The prerequisite for taking the exam is successful participation in the four Master Class courses. We recommend attending all courses within a maximum of two years and taking 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 a practical data example. Depending on the preparatory work in the four Master Class courses, approximately 3–4 hours should be allocated for this task.