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Build machine learning solutions using Azure Databricks

Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data...

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$675 USD
Duration 1 day
Course Code DP-3014
Available Formats Classroom

Overview

Course Description

Azure Databricks is a fully managed, cloud-based data analytics platform, which empowers developers to accelerate AI and innovation by simplifying the process of building enterprise-grade data applications. Built as a joint effort by Microsoft and the team that started Apache Spark, Azure Databricks provides data science, engineering, and analytical teams with a single platform for big data processing and machine learning. In this course, you?ll learn how to use Azure Databricks to train and deploy machine learning models.

Audience Profile

This course is designed for aspiring data scientists and AI engineers who need to train and manage machine learning models by using Azure Databricks.

Prerequisites

This learning path assumes that you have experience of using Python to explore data and train machine learning models with common open source frameworks, like Scikit-Learn, PyTorch, and TensorFlow.

Course Details

Course Details

Outline

  • Explore Azure Databricks
    • Get started with Azure Databricks
    • Identify Azure Databricks workloads
    • Understand key concepts
    • Data governance using Unity Catalog and Microsoft Purview
    • Exercise - Explore Azure Databricks
    • Module assessment
  • Use Apache Spark in Azure Databricks
    • Get to know Spark
    • Create a Spark cluster
    • Use Spark in notebooks
    • Use Spark to work with data files
    • Visualize data
    • Exercise - Use Spark in Azure Databricks
    • Module assessment
  • Train a machine learning model in Azure Databricks
    • Understand principles of machine learning
    • Machine learning in Azure Databricks
    • Prepare data for machine learning
    • Train a machine learning model
    • Evaluate a machine learning model
    • Exercise - Train a machine learning model in Azure Databricks
    • Module assessment
  • Use MLflow in Azure Databricks
    • Capabilities of MLflow
    • Run experiments with MLflow
    • Register and serve models with MLflow
    • Exercise - Use MLflow in Azure Databricks
    • Module assessment
  • Tune hyperparameters in Azure Databricks
    • Optimize hyperparameters with Optuna
    • Review trials
    • Scale hyperparameter optimization
    • Exercise - Optimize hyperparameters for machine learning in Azure Databricks
    • Module assessment
  • Use AutoML in Azure Databricks
    • What is AutoML?
    • Use AutoML in the Azure Databricks user interface
    • Use code to run an AutoML experiment
    • Exercise - Use AutoML in Azure Databricks
    • Module assessment
  • Train deep learning models in Azure Databricks
    • Understand deep learning concepts
    • Train models with PyTorch
    • Distribute PyTorch training with TorchDistributor
    • Exercise - Train deep learning models on Azure Databricks
    • Module assessment
  • Manage machine learning in production with Azure Databricks
    • Automate your data transformations
    • Explore model development
    • Explore model deployment strategies
    • Explore model versioning and lifecycle management
    • Exercise - Manage a machine learning model
    • Module assessment

Schedule

FAQ

How do I get a Microsoft exam voucher?

Pearson Vue Exam vouchers can be requested and ordered with your course purchase or can be ordered separately by clicking here.

  • Vouchers are non-refundable and non-returnable. Vouchers expire 12 months from the date they are issued unless otherwise specified in the terms and conditions.
  • Voucher expiration dates cannot be extended. The exam must be taken by the expiration date printed on the voucher.

Do Microsoft courses come with post lab access?

Most Microsoft official courses will include post-lab access ranging from 30 to 180 calendar days after instructor led course delivery. A lab training key in class will be provided that can be leveraged to continue connecting to a remote lab environment for the individual course attendee.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour-long after 3-3.5 hours of the class day.

What languages are used to deliver training?

Microsoft courses are conducted in English unless otherwise specified.

Reviews

Course was great and informative. The instructor had a good flow and was very personable.

The exit certified aws course provided a good introduction to the tools available on aws.

Overall experiance is very nice. the online training plateform is very advance.

Course was thorough and gave a very solid grounding in the tools advertised.

I think the platform is very good and look forward to taking my next course in early October.