This DP-100 training consists of a maximum of 2 half-day sessions per week for a maximum of 4 weeks with integrated learning support. Click «Timetable» for the session plan at the bottom of the page where you select your desired date.

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.

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