Implementing a Machine Learning Solution with Microsoft Azure Databricks

Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this one-day course, you'll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Accredited course for Continuing Education of Pedagogical Staff

Course length: 1 day (8:30 - 16:00)

Dates

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• Students will be able to

  • Provision an Azure Databricks workspace and cluster
  • Use Azure Databricks to train a machine learning model
  • Use MLflow to track experiments and manage machine learning models
  • Integrate Azure Databricks with Azure Machine Learning

• Course requirements

  • DP-900 course
  • Python basics (Python1 course)

• This course is intended for

  This course is designed for data scientists who need to learn how to apply their data science and machine learning skills on Azure Databricks

• Literature

  All participants will get original Microsoft materials.

• Hardware

  Classrooms are equipped with high-performance computers with Internet access and the possibility of wireless connection.

• Syllabus

  Module 1: Introduction to Azure Databricks

  • Lesson: Getting Started with Azure Databricks
  • Lesson: Working with Data in Azure Databricks
  • Lab: Getting Started with Azure Databricks
  • Lab: Working with Data in Azure Databricks

  Module 2: Training and Evaluating Machine Learning Models

  • Lesson: Preparing Data for Machine Learning
  • Lesson: Training a Machine Learning Model
  • Lab: Training a Machine Learning Model
  • Lab: Preparing Data for Machine Learning

  Module 3: Managing Experiments and Models

  • Lesson: Using MLflow to Track Experiments
  • Lesson: Managing Models
  • Lab: Using MLflow to Track Experiments
  • Lab: Managing Models

  Module 4: Integrating Azure Databricks and Azure Machine Learning

  • Lesson: Tracking Experiments with Azure Machine Learning
  • Lesson: Deploying Models
  • Lab: Deploying Models in Azure Machine Learning
  • Lab: Running Experiments in Azure Machine Learning