Build machine learning solutions using Azure Databricks (DP-3014)

Duration: 1 day
Language: English
Level: Intermediate

Azure Databricks is a powerful, cloud-scale platform for data analytics and machine learning. This hands-on class guides you through every step of building, training, optimizing, and deploying machine learning solutions with Azure Databricks. Designed for data scientists and ML engineers, the course covers Apache Spark, MLflow, AutoML, hyperparameter tuning, and deep learning, all within a scalable, collaborative environment. By the end, you’ll have the skills to implement real-world machine learning projects from experimentation to production.

Machine learning with Azure Databricks Delivery Methods

In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.

Machine learning with Azure Databricks Training Information

In this course, you will learn how to:

Learn how to harness the full potential of Databricks for big data analytics and ML.
Apply concepts through guided exercises using Spark, MLflow, AutoML, and PyTorch.
Gain practical experience managing experiments, tuning hyperparameters, and deploying models at scale.
Build expertise in modern machine learning techniques, including deep learning and production-ready workflows.
Learn how Unity Catalog and Microsoft Purview support secure, governed, and team-based ML development.

Training Prerequisites

To fully benefit from this course, please ensure you possess proficiency in Python for data exploration and machine learning model training using popular open-source frameworks such as Scikit-Learn, PyTorch, and TensorFlow.

Machine learning with Azure Databricks Training Outline

Learning Objectives

Module 1: Explore Azure Databricks

Get started with Azure Databricks
Identify workloads and key concepts
Understand governance with Unity Catalog & Microsoft Purview
Hands-on exercise: Explore Azure Databricks

Module 2: Use Apache Spark in Azure Databricks

Introduction to Spark and clusters
Work with data files in notebooks
Visualize data with Spark
Hands-on exercise: Use Spark in Databricks

Module 3: Train a Machine Learning Model

Review ML principles
Prepare data for training
Train and evaluate models in Databricks
Hands-on exercise: Train a machine learning model

Module 4: Use MLflow in Azure Databricks

Manage experiments with MLflow
Register and serve models
Hands-on exercise: Track and deploy with MLflow

Module 5: Tune Hyperparameters

Optimize models with Optuna
Scale hyperparameter trials
Hands-on exercise: Hyperparameter tuning in Databricks

Module 6: Use AutoML in Azure Databricks

Understand AutoML concepts
Run AutoML experiments via UI and code
Hands-on exercise: Build models with AutoML

Module 7: Train Deep Learning Models

Introduction to deep learning concepts
Train models with PyTorch
Scale with TorchDistributor
Hands-on exercise: Train deep learning models

Module 8: Manage ML in Production

Automate data transformations
Explore model development and deployment strategies
Manage versioning and lifecycle
Hands-on exercise: Deploy and manage ML models

Commercial Pricing

£835

1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

Would you like to take this course as a team?

Include dates with afternoon start times

May 28 2:00 PM - 9:30 PM BST

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Jul 23 2:00 PM - 9:30 PM BST

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Sep 11 9:00 AM - 4:30 PM BST

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Oct 22 2:00 PM - 9:30 PM BST

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Jan 19 2:00 PM - 9:30 PM GMT

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Apr 21 2:00 PM - 9:30 PM BST

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Machine learning with Azure Databricks FAQs

This course is designed for data scientists, ML engineers, and technical professionals who want to build and deploy machine learning solutions using Azure Databricks.

You should have experience with Python and training ML models using frameworks such as Scikit-learn, PyTorch, or TensorFlow.

The course covers Apache Spark, MLflow, Optuna (for hyperparameter tuning), AutoML, PyTorch, and Azure Databricks’ governance and deployment features.

Yes! By the end of this training, you’ll know how to go from raw data to production-ready ML models, with skills that directly apply to enterprise projects.

Build machine learning solutions using Azure Databricks (DP-3014)

Machine learning with Azure Databricks Delivery Methods

Machine learning with Azure Databricks Training Information

Machine learning with Azure Databricks Training Outline

Learning Objectives

Live Instructor £835

Machine learning with Azure Databricks FAQs

Who should take this course?

What are the prerequisites?

What tools and frameworks are covered?

Will this help me with real-world projects?

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