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Are you ready to take your data skills to the next level?

You can now deepen your AI skills with the Bertelsmann AI Curriculum.

 

The new “Bertelsmann AI Curriculum” empowers employees worldwide to expand their skills in the field of artificial intelligence. Our AI Curriculum complements our Tech & Data training range, so that we now offer content in all three strategic areas of Cloud, Data and AI. The learning content was compiled specifically for Bertelsmann employees and comes primarily from industry leaders, as well as our longstanding learning partners Udacity, Coursera and Microsoft.

Artificial Intelligence (AI) is one of the fastest-growing technologies of our time. Exponentially growing data volumes enable the transformation of business processes and entire markets with the help of AI-based solutions. So, alongside Data Science and Cloud Computing, Artificial Intelligence rounds off Bertelsmann’s Tech & Data strategy. The three topics are closely interwoven, and the AI curriculum is a further development stage that builds on the existing Data curriculum.

 

Jennifer Meindel, who is responsible for Bertelsmann’s Tech curricula at Bertelsmann University, says: “Our HR strategy focuses primarily on the continuing training and upskilling of our employees. We want to promote the technology skills necessary for the transformation of our Group. Our Tech curricula are already a central element in the development of these skills worldwide. In addition to the Technology Scholarship Initiative, which brings learners worldwide together and closer to Bertelsmann in a social and competitive learning experience, with our  Tech Curricula we have created a sustainable and individually usable learning product.”

 

This curated, digital learning offer was developed exclusively for Bertelsmann employees with corresponding prior knowledge in data science or data engineering. We, Bertelsmann University would like to support employees in closing the skills gap in the businesses and thus guide them into an even more digital future with the aid of AI technology. You can deepen their knowledge of machine and deep learning and acquire skills in specific AI application areas such as Natural Language Processing.

Like the Data and Cloud curricula, the AI curriculum is built on a role-based competency model that was developed in collaboration with experts from the divisions and Group departments. The role profiles classify the required competencies, the typical tasks of the respective job profiles, and the required mindset, from a variety of perspectives. The role profiles developed cover the spectrum from specialist and technological to more business-focused expertise.

 

 

The AI curriculum adds another role to the Bertelsmann Data curriculum on the tech side of the tech-to-business spectrum (see graphic): Machine Learning Engineer. This time, we offer specific courses in three specializations from which you can choose and which deal with concrete application areas of AI: Computer Vision, Natural Language Processing, and Time-Series Analysis.

The Bertelsmann AI curriculum, which is now available on a permanent basis, will be regularly updated in terms of both content and teaching/learning methods. It offers employees a variety of premium courses, individual learning paths, and flexible licensing options, so that they can learn at any time according to their own needs and capacities.

It is one of a series of initiatives to provide you with the necessary expertise in the key technologies of Data, Cloud and Artificial Intelligence. In addition to the three Bertelsmann Tech curricula, Bertelsmann is awarding another 15,000 scholarships to interested participants worldwide under the Udacity Technology Scholarship program. 

 

INFO SESSION for Bertelsmann employees

If you are keen to get more insights about the "Bertelsmann AI Curriculum" you can register for the info session for Bertelsmann employees! We will explain you the basic idea and different opportunities you can choose between in Details and can answer all upcoming questions. The session takes place on March 11, at 4.30 pm (CET).

Click here to sign up

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