This DP-100 training takes place in an intensive format where you have full day sessions with our MCT experts. After completing the training you still have 30 more days Learning Support access to prepare for the exam and ask questions.

A fundamental knowledge of Microsoft Azure, experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib. Understanding of data science; including how to prepare data, and train machine learning models using common machine learning libraries such as Scikit-Learn, PyTorch, or Tensorflow.

Participants apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders. They use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives. Furthermore, they use applications that involve natural language processing, speech, computer vision, and predictive analytics.

Students serve as part of a multi-disciplinary team that incorporates ethical, privacy, and governance considerations into the solution.

Kursprogramm