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Microsoft Azure Machine Learning
  • Level Foundation
  • Duration 11 hours
  • Course by Microsoft
  • Offered by

About

Machine learning is at the core of artificial intelligence, and many modern applications and services depend on predictive machine learning models. Training a machine learning model is an iterative process that requires time and compute resources. Automated machine learning can help make it easier. In this course, you will learn how to use Azure Machine Learning to create and publish models without writing code. This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the second course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

Modules

Welcome to the Course

    • 1 Videos
    • 2 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • How Does Machine Learning Influence Your Day-to-Day Life?

1 Videos

  • Introduction to Create No-code Predictive Models with Azure Machine Learning

2 Readings

  • Course Syllabus
  • How to be successful in this course

Azure Machine Learning to Train and Deploy a Predictive Model

    • 2 Videos
    • 6 Readings
    • 1 Quiz
    • 1 Plugin
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise Quiz
  • Test Prep

2 Videos

  • Azure Machine Learning to Train and Deploy a Predictive Model
  • Weekly Summary

6 Readings

  • Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace 
  • Exercise Part 2: Create Compute Resources​
  • Exercise Part 3: Explore Data
  • Exercise Part 4: Train a Machine Learning Model
  • Exercise Part 5: Deploy a Model as a Service 
  • Exercise Part 6: Clean-up

1 Quiz

  • Knowledge Check

Create a Regression Model with Azure Machine Learning Designer

    • 2 Videos
    • 8 Readings
    • 1 Quiz
    • 2 Assignment
Show info about module content

2 Assignment

  • Exercise Quiz
  • Knowledge Check

2 Videos

  • What is Regression?
  • Weekly Summary

8 Readings

  • Exercise Part 1: Create a Microsoft Azure Machine Learning Workspace
  • Exercise Part 2: Create Compute Resources
  • Exercise Part 3: Explore Data
  • Exercise Part 4: Create and Run a Training Pipeline 
  • Exercise Part 5: Evaluate a Regression Model 
  • Exercise Part 6: Create an Inference Pipeline 
  • Exercise Part 7: Deploy a Predictive Service
  • Exercise Part 8: Clean-up 

1 Quiz

  • Test Prep

Create a Classification Model with Azure Machine Learning Designer

    • 2 Videos
    • 8 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise Quiz
  • Knowledge Check
  • Test Prep

2 Videos

  • What is Classification?
  • Weekly Summary

8 Readings

  • Exercise Part 1: Create an Azure Machine Learning Workspace
  • Exercise Part 2: Create Compute Resources
  • Exercise Part 3: Explore Data
  • Exercise Part 4: Create and Run a Training Pipeline
  • Exercise Part 5: Evaluate a Classification Model
  • Exercise Part 6: Create an Inference Pipeline
  • Exercise Part 7: Deploy a predictive service
  • Exercise Part 8: Clean-up

Create a Clustering Model with Azure Machine Learning Designer

    • 2 Videos
    • 8 Readings
    • 3 Assignment
Show info about module content

3 Assignment

  • Exercise Quiz
  • Knowledge Check
  • Test Prep

2 Videos

  • What is Clustering?
  • Weekly Summary

8 Readings

  • Exercise: Create a Microsoft Azure Machine Learning workspace
  • Exercise Part 1: Create Compute Resources
  • Exercise Part 2: Explore Data 
  • Exercise Part 3: Create and Run a Training Pipeline 
  • Exercise Part 4: Evaluate a Classification Model 
  • Exercise Part 5: Create an Inference Pipeline 
  • Exercise Part 6: Deploy a Predictive Service 
  • Exercise Part 7: Clean-up 

Course Wrap-Up

    • 1 Readings
    • 1 Discussion
Show info about module content

1 Discussions

  • Course review

1 Readings

  • What to expect next

Auto Summary

Unlock the power of predictive models with the "Microsoft Azure Machine Learning" course, designed for beginners in Data Science & AI. Led by expert instructors, this foundational course requires no coding skills and prepares you for the AI-900: Microsoft Azure AI Fundamentals exam. Ideal for IT personnel and both technical and non-technical candidates, you'll gain hands-on experience with Azure's offerings. With a 660-minute duration, flexible subscription options (Starter, Professional), and a focus on essential AI concepts, this course sets the stage for further Azure certifications. Start your journey with Coursera today!

Microsoft
Instructor

Microsoft