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Microsoft

Build machine learning solutions using Azure Databricks

via Microsoft Learn Learning path or series

Overview

Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale. (DP-3014)

Courses in this learning path or series 8

  1. Explore Azure Databricks 1 hour
  2. Use Apache Spark in Azure Databricks 1.5 hours
  3. Train a machine learning model in Azure Databricks 1.5 hours
  4. Use MLflow in Azure Databricks 1 hour
  5. Tune hyperparameters in Azure Databricks 1 hour
  6. Use AutoML in Azure Databricks 40 minutes
  7. Train deep learning models in Azure Databricks 1 hour
  8. Manage machine learning in production with Azure Databricks 1 hour

Skills you'll practise

Azure Databricks

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 (8 parts) you can see before you start.

Disadvantages

  • Mostly reading, not video.
  • Focused on Microsoft products.

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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