Designing and Implementing a Data Science Solution on Azure (DP-100)
In this course candidates can gain the necessary knowledge about how to use Azure services to develop, train, and deploy, machine learning solutions. This 3 days course starts with a summary of Azure services that support data science. And then, it focuses on using Azure's premier data science service, Azure Machine Learning service, to automate the data science pipeline.
- Course Objective
- Who Can Benefit
- Define and prepare the development environment
- Prepare data for modeling
- Perform feature engineering
- Develop models
Data scientists and people with vital responsibilities in training and deploying machine learning models.
Before attending this course, candidates should have:
- Azure Fundamentals
- Understanding of data science.
- Python programming language and use the its libraries : scikit-learn, pandas, seaborn and matplotlib.
Module 1: Doing Data Science on Azure
The student will learn about the data science process and the role of the data scientist. This is then applied to understand how Azure services can support and augment the data science process.
Introduce the Data Science Process
Overview of Azure Data Science Options
Introduce Azure Notebooks
Module 2: Doing Data Science with Azure Machine Learning service
The student will learn how to use Azure Machine Learning service to automate the data science process end to end.
Introduce Azure Machine Learning (AML) service
Register and deploy ML models with AML service
Module 3: Automate Machine Learning with Azure Machine Learning service
In this module, the student will learn about the machine learning pipeline and how the Azure Machine Learning service's AutoML and HyperDrive can automate some of the laborious parts of it.
Automate Machine Learning Model Selection
Automate Hyperparameter Tuning with HyperDrive
Module 4: Manage and Monitor Machine Learning Models with the Azure Machine Learning service
In this module, the student will learn how to automatically manage and monitor machine learning models in the Azure Machine Learning service.
Manage and Monitor Machine Learning Models