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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.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

3 Projects

83 Playgrounds

Course Overview

What You'll Learn

Course Content

Recommendations

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

In this course, you will start your journey by gaining a comprehensive understanding of the basics of Azure, including creating ...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

A working knowledge of Azure CLI for machine/deep learning

Course Content

Introduction

3 Lessons

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

Introduction to Azure

Introduction to Azure CLI

Introduction to Azure Machine Learning

Getting Started

4 Lessons

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

Creating a Microsoft Account

Signing Up With Azure

Azure CLI Commands Help

Quiz on Azure Installations

Creating Azure Resources

8 Lessons

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

YAML For Azure ML

Creating a Resource Group

Creating a Workspace

Creating a Virtual Machine

Creating a Compute

Creating an Environment

Creating Storage

Quiz for Creating Azure Resources

Building Azure ML Pipeline

6 Lessons

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

Managing the ML Model

Creating an E2E ML Pipeline

Building a diabetes model pipeline

Project

Service Deployment

6 Lessons

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

Endpoints and Deployment

Batch Deployment

Online Deployment

Testing the Deployment

Managing the Deployments

Quiz on Deployment

Creating a Deep Learning Pipeline

5 Lessons

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

Prerequisites for Distributed Deep Learning

Building a TensorFlow Pipeline

Creating a PyTorch Pipeline

Deploying a Tensorflow Model

Responsible AI

Detect Posture Project

Project

Conclusion

1 Lessons

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

Wrap Up!

10.

Appendix

1 Lessons

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

Setup and Installation

Sentiment Analysis Using Natural Language Processing

Project

Course Author

Soudamini Sreepada

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AI Code Mentor

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