Learn Azure ML (AutoML) in One Hour Video Course

Course Cover
compare button icon

Course Features

icon

Duration

1.2 hour

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Intermediate

icon

Teaching Type

Self Paced

icon

Video Content

1.2 hour

Course Description

Get started with Machine Learning and Auto ML using Azure ML Studio easily building powerful models and deploy them in a scalable environment.Everything you need to know to get up and running quickly in Machine Learning using Azure, from datasets to containerized deployments and data validation.
These topics include:
* An introduction to Azure ML Studio & AutoML
* Import data and version them in Azure - even from remote locations such as Github
* Create compute clusters to train and live inferencing
* Select models to be deployed into Kubernetes and Docker Container instances
* Use Application Insights to practice MLOps and operationalize a deployed model using logs and metrics
* Consume a live API endpoint with a model deployed over an HTTP API
* To grasp the HTTP endpoints, use the Swagger files generated

Course Overview

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Learn about the topic Machine Learning

Course Cover