Course DP-100T01 Designing and Implementing a Data Science Solution on Azure

Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure.

The course will be useful for companies that have transferred a large amount of data to Azure, plan to use Data Lake, structure and centrally process data.

After completing this course, students will be able to:

• use the Python programming language for machine learning in Microsoft Azure;
• manage the acquisition and preparation of data, training and deployment of models, monitoring of machine learning solutions in the cloud;
• get experience with Scikit-Learn, PyTorch and Tensorflow.

Audience Profile

This course is designed for Analytics, Data Scientists, Data Engineers with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who know how to program, and want to build and operate machine learning solutions in the cloud.

The task is to analyze data obtained from different sources, transform it, search for dependencies, trends, statistics.

Before attending this course, students must have:

• 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.