Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
3 Hour(s) 24 Minute(s)
Language
English
Taught by
Data Analytics Platform Academy(DAP)
Rating
2 views
Course Overview
Machine learning workflow orchestration to automate model training, deployment, and management processes using python.
This course has been designed keeping in mind entry level Data Scientists or no background in programming. This course will also help the data scientists and python developers to learn the AzureML .
This course is designed based on latest changes done in DP-100 Certification.
This course would also be useful for the experts who needs to know how to create and deploy a machine learning environment in production. Environment could be cloud or on-premises
In this course student will learn to:-
Create Free Azure account and how to access AzureML studio
We will learn complete architecture of Azure Machine learning
How we can create a virtual env for python using yml file in your local machine
Will train machine learning and deep learning algorithm in azure ml in local machine and same code will be executed in azure as well.
How different storage can be attached to azure ml like Azure SQL DB
How to deploy ML in azure and do real time prediction
We will cover how to create machine learning pipeline and how to do hyperparameter tuning
We will also learn how to implement Azure Auto ML
How to create complete machine learning lifecycle without writing a single code with the help of azure machine learning studio.
Understanding of the components and how they work together to assist in the process of building, deploying, and maintaining machine learning models.
Provision an Azure Machine Learning workspace
Use tools and interfaces to work with Azure Machine Learning.
Run code-based experiments in an Azure Machine Learning workspace.
Course Content
- 10 section(s)
- 38 lecture(s)
- Section 1 Introduction
- Section 2 AzureML Architecture
- Section 3 Setting up Local Environment
- Section 4 Creating Workspace from Azure Portal
- Section 5 Workspace and Cluster creation using Python SDK
- Section 6 Train, Register and Deploy model in AzureML using Python
- Section 7 Train Pytorch deep learning Model in AzureML
- Section 8 AzureML datastore-SQLDB
- Section 9 AzureML Pipeline
- Section 10 Azure AutoML-No code
What You’ll Learn
- Azure ML Architecture
- Train a Machine learning with Azure ML in python
- Attached Storage with your Azure ML
- Deploy real time machine service
- Azure Auto ML
- Azure Designer Studio
Skills covered in this course
Reviews
-
TThierry Desot
Up till now, very well explained, running the code also works local and in azure
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CChris Wolstenholme
The course was very good, and taught me a lot about using AzureML. The only issue was that this course is a little out of date now, and some things have changed in the AzureML interface. I could still find my way around and follow along, though. The only part it was difficult to follow along was the SQLDB section. It would have been useful to show how to setup and populate the database to start with.
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SSirous Samsami
Decent concise course about azure python SDK, some more examples would be nice as well as support within the course.
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SSqlcoop@gmail.com
Goes through real life example demos line by line. Although it is shorter in hours than some others azure ml videos (which are also good), it looks at learning the material in a little different way, which makes it beneficial and gives more knowledge on the subject.
