Class participants should watch the prerequisite short videos prior to the live workshop. Link to videos are below.

About this Event

In this workshop, you will learn the most important concepts of the machine learning workflow that data scientists follow to build an end-to-end data science solution on Azure. You will learn how to find, import, and prepare data, select a machine learning algorithm, train, and test the model, and deploy a complete model to an API. You will get tips, best practices, and resources you and your team need to continue your machine learning journey, build your first model, and more. 

Series:

1. Azure 101: Cloud Basics and Getting Started 
2. Azure Machine Learning (This Course)
3. Azure Data Management and Storage

In this workshop, we will cover the following topics:

• Basics of machine learning

• How to select the right machine learning algorithm for your data science scenario

• How Azure Machine Learning tools can accelerate your machine learning journey

• How to use Automated Machine Learning to optimize your machine learning deployment flow

And you will complete the following hands-on exercises:

• Build a machine learning model with Azure Machine Learning designer

• Deploy and consume a machine learning model with Azure Machine Learning designer

• Deploy your machine learning model on Azure

Prerequisite Videos and Links:

Short videos and PowerPoint presentations here. 

Syllabus here.

Important notes:

Participants should review the videos from Azure 101 before attending the next two workshops.

Links to the Virtual Workshop will be provided a few days prior to the event.

Each workshop requires its own separate registration.