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Machine learning with Azure Databricks (DP-3014)

Course 8686

  • Duration: 1 day
  • Language: English
  • Level: Intermediate

Embark on an enriching journey with this hands-on instructor-led Microsoft course, 'Machine Learning with Azure Databricks (DP-3014),' designed to empower you with cloud-scale capabilities for data analytics and machine learning. Within this immersive one-day experience, you'll delve into Azure Databricks, a versatile platform enabling data scientists and machine learning engineers to implement robust solutions at scale, revolutionizing the way data insights are extracted and utilized.

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:

  • Gain proficiency in utilizing Azure Databricks, a cloud service offering a scalable platform for data analytics using Apache Spark. 
  • Acquire practical knowledge and hands-on experience in employing Spark to transform, analyze, and visualize data at scale. 
  • Develop skills in training machine learning models and evaluating their performance within the Azure Databricks environment. 
  • Learn to leverage MLflow, an open-source platform for managing the machine learning lifecycle, seamlessly integrated with Azure Databricks. 
  • Master the art of hyperparameter tuning and optimization using Hyperopt library, enhancing the efficiency of machine learning workflows. 
  • Explore the simplicity and effectiveness of AutoML in Azure Databricks for automating the model building process. 
  • Dive into the realm of deep learning, understanding concepts and training models for complex AI workloads like forecasting, computer vision, and natural language processing. 

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

  1. Explore Azure Databricks
  • Introduction to Azure Databricks as a cloud service providing a scalable platform for data analytics.
  • Use of Apache Spark in Azure Databricks for performing data transformations, analysis, and visualizations at scale.
  1. Train a Machine Learning Model in Azure Databricks
  • Understanding how data is used for training predictive models in Azure Databricks.
  • Overview of the commonly used machine learning frameworks supported by Azure Databricks.
  1. Use MLflow in Azure Databricks
  • Introduction to MLflow as an open-source platform managing the machine learning lifecycle.
  • Insight into how MLflow is natively supported in Azure Databricks.
  1. Tune Hyperparameters in Azure Databricks
  • The important role of tuning hyperparameters in machine learning.
  • Using the Hyperopt library in Azure Databricks for automated hyperparameters optimization.
  1. Use AutoML in Azure Databricks
  • An overview of AutoML’s role in simplifying the process of building effective machine learning models.
  • Insight into how AutoML fits into the Azure Databricks ecosystem.
  1. Train Deep Learning Models in Azure Databricks
  • Understanding deep learning and its use of neural networks for training machine learning models.
  • Looking at the complex forecasting, computer vision, natural language processing, and other AI workloads handled by deep learning in Azure Databricks.
Get This Course $895 GOV $520 For Team Prices Call: 888-843-8733

  • 1-Day Instructor-Led Training

  • Hands-On Labs

  • Microsoft Official Content

  • After-Course Instructor Coaching Included

  • Available for Private Team Training

Get the Advantage $3,895
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#8686
  • Nov 20 9:00 AM - 4:30 PM EST
    AnyWare
  • Dec 18 9:00 AM - 4:30 PM EST
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  • Jan 15 9:00 AM - 4:30 PM EST
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  • Feb 12 9:00 AM - 4:30 PM EST
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  • Mar 12 9:00 AM - 4:30 PM EDT
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  • Apr 9 9:00 AM - 4:30 PM EDT
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  • May 8 9:00 AM - 4:30 PM EDT
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  • Jun 5 9:00 AM - 4:30 PM EDT
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  • Jul 2 9:00 AM - 4:30 PM EDT
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  • Jul 28 9:00 AM - 4:30 PM EDT
    AnyWare
  • Aug 29 9:00 AM - 4:30 PM EDT
    AnyWare
  • Sep 26 9:00 AM - 4:30 PM EDT
    AnyWare

Scroll to view additional course dates

  • 1-Day Instructor-Led Training

  • Hands-On Labs

  • Microsoft Official Content

  • After-Course Instructor Coaching Included

  • Available for Private Team Training

Get the Advantage $3,895
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#8686
  • Nov 20 9:00 AM - 4:30 PM EST
    AnyWare
  • Dec 18 9:00 AM - 4:30 PM EST
    AnyWare
  • Jan 15 9:00 AM - 4:30 PM EST
    AnyWare
  • Feb 12 9:00 AM - 4:30 PM EST
    AnyWare
  • Mar 12 9:00 AM - 4:30 PM EDT
    AnyWare
  • Apr 9 9:00 AM - 4:30 PM EDT
    AnyWare
  • May 8 9:00 AM - 4:30 PM EDT
    AnyWare
  • Jun 5 9:00 AM - 4:30 PM EDT
    AnyWare
  • Jul 2 9:00 AM - 4:30 PM EDT
    AnyWare
  • Jul 28 9:00 AM - 4:30 PM EDT
    AnyWare
  • Aug 29 9:00 AM - 4:30 PM EDT
    AnyWare
  • Sep 26 9:00 AM - 4:30 PM EDT
    AnyWare

Scroll to view additional course dates

  • Bring this or any training to your organization

  • Full-scale program development

  • Delivered when, where, and how you want it

  • Blended learning models

  • Tailored content

  • Expert team coaching

Get the Advantage $3,895
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#8686
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Machine learning with Azure Databricks FAQs

Azure Databricks provides a seamless integration of Apache Spark with cloud services, offering a scalable platform tailored for data scientists and machine learning engineers. Its collaborative workspace, optimized Spark performance, and built-in support for machine learning frameworks streamline the process of implementing solutions at scale. 

MLflow simplifies the management of the machine learning lifecycle by providing capabilities for tracking experiments, packaging code, and sharing models. Integrated natively with Azure Databricks, MLflow enables users to efficiently run experiments, register models, and deploy them seamlessly into production environments, facilitating collaboration and reproducibility. 

AutoML in Azure Databricks automates the process of building machine learning models, enabling users to quickly experiment with various algorithms and hyperparameters without extensive manual intervention. By leveraging AutoML, users can accelerate the model development process, optimize model performance, and focus on interpreting and utilizing the generated insights. 

Azure Databricks provides a comprehensive environment for training deep learning models, including support for popular frameworks like PyTorch. With capabilities for distributed training using tools like Horovod, users can efficiently scale their deep learning workflows to handle large datasets and complex AI workloads, empowering them to unlock new possibilities in areas such as computer vision and natural language processing. 

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