In Designing and Implementing a Data Science Solution on Azure (DP-100) training course, you will gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. The course starts with an overview of Azure services that support data science. From there, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline..
By attending Designing and Implementing a Data Science Solution on Azure (DP-100) workshop, delegates will learn to:
- Use Azure to services to develop machine learning solutions
- Deploy machine learning models
- Automate Machine Learning with Azure Machine Learning service
- Manage and Monitor Machine Learning Models with the Azure Machine Learning service
- Azure Fundamentals knowledge.
- Experience of writing Python code to work with data, using libraries such as Numpy, Pandas, and Matplotlib.
- Python programming language experience and use the Python libraries: pandas, scikit-learn, matplotlib, and seaborn.
This Designing and Implementing a Data Science Solution on Azure (DP-100) class is aimed at data scientists and those with significant responsibilities in training and deploying machine learning models.