All Programs

AI Curriculum | Become a Machine Learning Engineer

Who should attend

  • All Bertelsmann employees who wish to further their training as a Machine Learning Engineer or deepen their knowledge
  • Machine Learning Engineers develop Machine Learning and AI models in close cooperation with other experts in the areas of data and cloud
  • They are responsible for the development of powerful AI systems across application fields such as Computer Vision, Natural Language Processing and Time-Series Analysis using, for example, Deep Learning methods
  • They work closely with Data Engineers and cloud specialists on the deployment and integration of AI models in applications and services
  • Requirements:
    • Strong affinity with IT and advanced knowledge of a relevant programming language, e.g., Python
    • Expertise in data management technologies, especially in a cloud and big data context
    • Good prior knowledge of statistics and mathematics
    • Advanced experience with regard to Machine Learning processes and their deployment and operation using DevOps-like processes (MLOps)

What you learn

  • To build knowledge and skills relevant to the role of Machine Learning Engineer in the areas of:
    • Information design
    • Database technologies
    • Big Data and Machine Learning Engineering using programming languages such as Python or Scala

How you learn

  • Learning path with a course program specially designed for this role
  • Modern online learning experience from selected learning providers with high quality standards
  • From short learning nuggets for solving current problems to Nanodegree and recognized university certificate
  • Self-directed learning according to individual abilities and needs - at one's own pace, independent of time and place
  • Interactive learning formats with learning controls to check your own learning progress


  • Acquire the competencies and skills necessary for working in the field of Machine Learning
  • Develop in your current role, or qualify for new tasks
  • Benefit from a selected, well-structured and quality-checked digital learning curriculum
  • Learn from experts with high practical relevance
  • Exchange information on challenges and best practices in communities
  • Apply the learning content directly in your everyday professional life
  • Continue your education according to your individual knowledge, independent of time and place
  • Take the opportunity to develop further by completing a certificate or university degree

Further details



Microsoft Azure: