Designing Machine/Deep Learning Models Using Azure CLI

Designing Machine/Deep Learning Models Using Azure CLI

Gain insights into Azure basics, build ML/deep learning pipelines, manage deployments, and analyze models ethically with responsible AI, ensuring fairness and bias mitigation.

Intermediate

34 Lessons

10h

Certificate of Completion

Gain insights into Azure basics, build ML/deep learning pipelines, manage deployments, and analyze models ethically with responsible AI, ensuring fairness and bias mitigation.

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This course includes

3 Projects
83 Playgrounds

This course includes

3 Projects
83 Playgrounds

Course Overview

In this course, you will start your journey by gaining a comprehensive understanding of the basics of Azure, including creating and managing Azure resources, and setting up the Azure CLI environment. Next, you will learn how to build Azure Machine Learning pipelines from scratch. Then, you’ll delve into deep learning and distributed deep learning pipelines. You’ll learn how to manage the deployment and scheduling of these models. You’ll also cover the complete model management strategies. Finally, the cou...Show More

TAKEAWAY SKILLS

Cloud Deployment

Machine Learning Fundamentals

Deep Learning Basics

What You'll Learn

A working knowledge of Azure CLI for machine/deep learning

Hands-on experience building and scheduling machine/deep learning pipelines

The ability to deploy deep learning models using distributed training

An understanding of MLflow integration with Azure Machine Learning

A working knowledge of responsible AI using Azure Machine Learning

What You'll Learn

A working knowledge of Azure CLI for machine/deep learning

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Course Content

1.

Introduction

Learn how to use Azure's services, CLI tools, and comprehensive machine learning capabilities.
2.

Getting Started

Look at setting up Microsoft and Azure accounts and using Azure CLI commands.
3.

Creating Azure Resources

Work your way through creating Azure resources, including YAML, resource groups, VMs, and storage.
4.

Building Azure ML Pipeline

Grasp the fundamentals of creating Azure ML pipelines, managing datasets, and optimizing models.
5.

Service Deployment

Take a closer look at deploying, testing, and managing machine learning models in Azure.
6.

Creating a Deep Learning Pipeline

5 Lessons

Follow the process of creating and deploying efficient and equitable deep learning models on Azure.
7.

Conclusion

1 Lesson

Build on Azure ML's features for pipelines, cost management, reproducibility, and Responsible AI.
8.

Appendix

1 Lesson

Learn how to use Azure CLI setup and installation across different operating systems.

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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