Introduction to MLOps on Azure

By Brian Roehm

This course introduces you to MLOps on Azure and how you can implement it within your organization.

4 hours
  • 18 Lessons
  • 2 Hands-On Labs
  • 2 Course Quizzes

About the course

Ever wondered what it would be like to work in machine learning operations (MLOps)? In this course, you will! You will tackle real-world scenarios through lessons and labs. You’ll learn how to ingest and prepare data, apply algorithms, score, and evaluate the data. Finally, you will tackle options for publishing, as well as troubleshoot other common issues that you might encounter along the way. The best news? This is an entry-level course, so no prior experience in machine learning or operations is necessary.

  • Chapter 1 3 Lessons Introduction 5:00

    Course Introduction

    1:32

    About the Training Architect

    1:17

    Diving into the Course Scenario

    2:11
  • Chapter 2 4 Lessons An Introduction to Machine Learning Operations in Azure 37:07

    Defining Machine Learning Operations (MLOps)

    7:39

    Exploring Azure Machine Learning Studio

    7:32

    Alternative MLOps Services

    6:56

    Machine Learning Operations Overview

    15:00 Quiz
  • Chapter 3 11 Lessons Building a Machine Learning Pipeline 3:35:11

    Section Introduction

    2:37

    Mapping Out the Requirements

    6:56

    Preparing to Build a Pipeline in Azure Machine Learning Studio

    45:00 Hands-On Lab

    Ingestion

    10:10

    Data Wrangling

    10:02

    Train and Test a Model

    14:52

    Azure Machine Learning Studio Pipeline Creation

    1:30:00 Hands-On Lab

    Deployment

    4:43

    Monitoring and Optimization

    9:31

    Section Review

    6:20

    Building a Machine Learning Pipeline

    15:00 Quiz
  • Chapter 4 2 Lessons Conclusion 8:03

    Course Summary

    2:04

    Conclusion and What's Next

    5:59

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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Psst…this one if you’ve been moved to ACG!