Operationalizing Microsoft Azure AI Solutions from Pluralsight

In Microsoft Azure, models can be created with Azure Databricks and Azure Machine Learning (ML). In this course we will focus on operationalizing our AI Model with Microsoft Azure's version control platform, Azure DevOps.

Machine learning and the Azure Artificial Intelligence (AI) platform allow you to use existing data to forecast future behaviors, outcomes, and trends. In this course, Operationalizing Microsoft Azure AI Solutions, you’ll focus on what it means to operationalize AI in Microsoft Azure. First, you’ll go through the lifecycle of an AI model, creating the model in Azure Databricks and Azure Machine Learning Services. Next, you’ll discover how to deploy the model into Azure’s version control tool, Azure Devops, and containerize it such that it can be used by the end user. Finally, you’ll explore how to identify integration points with other Microsoft services and the containers used in Azure - Azure Container Instances and Azure Kubernetes Services. When you’re finished with this course, you’ll have the skills and knowledge of Microsoft Azure needed to devise a strategy for managing version control of an AI solution.

What's inside

Syllabus

Course Overview

Assembling Appropriate Tools and Technologies

Designing a Version Control Strategy for a Microsoft Azure AI Solution

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Emphasizes version control within AI solutions, a crucial aspect for managing complex deployments

Taught by experienced instructor Dayo Bamikole, known for expertise in Azure AI and DevOps

Covers the integration of other Microsoft services, enhancing the course's practical relevance

Focuses on Azure DevOps for version control, a widely recognized industry standard

Provides a structured approach to operationalizing AI models, addressing a key challenge in AI deployment

Career center

Learners who complete Operationalizing Microsoft Azure AI Solutions will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions and improve operations. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Machine Learning Engineer

Machine Learning Engineers design, develop, and deploy machine learning models to solve real-world problems. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts collect, analyze, and interpret data to help businesses understand their customers, improve operations, and make better decisions. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

See salaries and explore the career path for Data Analyst

DevOps Engineer

DevOps Engineers are responsible for bridging the gap between development and operations teams to ensure that software is developed, deployed, and maintained efficiently and reliably. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Software Engineer

Software Engineers design, develop, and maintain software applications. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Data Engineer

Data Engineers design, develop, and maintain data pipelines to ensure that data is available and accessible for analysis. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Cloud Architect

Cloud Architects design, develop, and manage cloud computing solutions. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Product Manager

Product Managers are responsible for developing and managing products and services. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Business Analyst

Business Analysts help businesses understand their customers, improve operations, and make better decisions. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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Project Manager

Project Managers plan, execute, and manage projects to ensure that they are completed on time, within budget, and to the required quality. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

See salaries and explore the career path for Project Manager

IT Manager

IT Managers are responsible for planning, implementing, and managing IT systems and services. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

See salaries and explore the career path for IT Manager

Data Administrator

Data Administrators are responsible for managing and maintaining data systems and databases. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

See salaries and explore the career path for Data Administrator

Database Administrator

Database Administrators are responsible for managing and maintaining databases. The Operationalizing Microsoft Azure AI Solutions course can help you build the skills you need to succeed in this role by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps. This course will also help you develop the skills you need to integrate AI solutions with other Microsoft services and containerize them for use by end users.

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IT Analyst

IT Analysts provide technical support to users and troubleshoot and resolve IT issues. The Operationalizing Microsoft Azure AI Solutions course may be useful for you if you are interested in a career as an IT Analyst by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps.

See salaries and explore the career path for IT Analyst

Help Desk Technician

Help Desk Technicians provide technical support to users and troubleshoot and resolve IT issues. The Operationalizing Microsoft Azure AI Solutions course may be useful for you if you are interested in a career as a Help Desk Technician by teaching you how to create, deploy, and manage AI models using Azure Databricks, Azure Machine Learning, and Azure DevOps.

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Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Operationalizing Microsoft Azure AI Solutions.

Azure PowerShell Quick Start Guide

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The book comprehensive guide to machine learning with Azure. It covers the basics of machine learning, such as data preparation, model training, and model deployment. It also provides guidance on how to use Azure Machine Learning to build and deploy machine learning models.

Azure PowerShell Quick Start Guide: Deploy and...

Kindle Edition

Deep Learning with Python, Second Edition

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Is an introduction to deep learning using Python. It covers the basics of deep learning, such as neural networks, convolutional neural networks, and recurrent neural networks. It also provides guidance on how to use Python libraries such as TensorFlow and Keras to build and train deep learning models.

Deep Learning with Python, Second Edition

Paperback

Deep Learning with Python, Second Edition

Kindle Edition

The The DevOps 2.2 Toolkit

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Is an introduction to Docker. It covers the basics of Docker, such as images, containers, and volumes. It also provides guidance on how to use Docker to build and deploy containerized applications.

The The DevOps 2.2 Toolkit

Paperback

Check price

The The DevOps 2.2 Toolkit

Kindle Edition

Check price

Machine Learning with PyTorch and Scikit-Learn

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Provides a practical introduction to machine learning using Python. It covers the basics of machine learning, such as data preparation, model training, and model evaluation. It good choice for readers who want to learn how to use machine learning to solve real-world problems.

Machine Learning with PyTorch and Scikit-Learn:...

Kindle Edition

Exam Ref 70-532 Developing Microsoft Azure Solutions

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The book covers the practice of continuous delivery and how it can be implemented using Azure DevOps. It provides guidance on how to automate the build, test, and deployment of software using Azure DevOps.

Exam Ref 70-532 Developing Microsoft Azure Solutions

Paperback

Designing Data-Intensive Applications

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Provides theoretical and practical knowledge about designing data-intensive applications. It covers topics such as data modeling, data storage, and data processing. The book is useful for anyone who wants to build scalable and efficient data-intensive applications.

Designing Data-Intensive Applications: The Big...

Paperback

Designing Data-Intensive Applications: The Big...

Kindle Edition

Operationalizing Microsoft Azure AI Solutions

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