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Microsoft

Experiment with Azure Machine Learning

via Microsoft Learn

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Overview

Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.

Syllabus 10

  1. Introduction 5 minutes
  2. Preprocess data and configure featurization 5 minutes
  3. Run an automated machine learning experiment 5 minutes
  4. Evaluate and compare models 5 minutes
  5. Configure MLflow for model tracking in notebooks 5 minutes
  6. Train and track models in notebooks 5 minutes
  7. Evaluate models with the Responsible AI dashboard 5 minutes
  8. Exercise - Find the best classification model with Azure Machine Learning 30 minutes
  9. Module assessment 5 minutes
  10. Summary 5 minutes

Skills you'll practise

Azure Machine Learning

Advantages and disadvantages

Advantages

  • Free, official and kept up to date by Microsoft.
  • Free sandbox environments for many Azure exercises, no credit card needed.
  • Counts toward Microsoft certification exams (AZ-900, AI-900, PL-300…).
  • From Microsoft, a well-regarded name.
  • Free digital badge you can add to LinkedIn.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (10 parts) you can see before you start.

Disadvantages

  • Mostly reading, not video.
  • Focused on Microsoft products.
  • Short (1 hour): an overview, not deep coverage.

Some points apply to every course of this kind; see how we rank.

Free, with a free credential

  • Free: Sign in with any Microsoft account.
  • Badge: Finish it to earn a free badge on your Microsoft Learn profile.

Microsoft is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

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