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DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks
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Unlock the Power of Machine Learning with DP-090! Dive into the world of Azure Databricks and equip yourself with the skills to implement machine learning solutions. Whether you’re a data enthusiast, a developer, or an experienced professional, this course is your gateway to harnessing the full potential of machine learning on Azure. Get ready to embark on a journey of innovation and intelligence!

DP-090 Course Highlights

  • LIVE Online Training (Duration – 4 Hours)
  • Comprehensive Training from Industry Experts
  • Hands-on Machine Learning Projects
  • Certification Preparation
  • Practical Machine Learning Solution Implementation
  • Access to Azure Databricks Tools and Services

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DP-090 Course Description


Welcome to DP-090: Implementing a Machine Learning Solution with Azure Databricks! This immersive course takes you deep into the world of machine learning on Azure Databricks, providing you with the skills and insights needed to implement machine learning solutions. Explore the extensive capabilities of Azure Databricks, learn to build and deploy machine learning models, and discover the art of machine learning solution integration. Whether you’re a machine learning enthusiast looking to dive into the cloud or an experienced professional aiming to bolster your skills, this program caters to your aspirations. Delivered by industry experts, this course combines theoretical knowledge with practical experience through hands-on machine learning projects, all aimed at preparing you for success in the world of machine learning and Azure.

Why DP-090: Implementing a Machine Learning Solution with Azure Databricks?
  • Azure Databricks empowers you to create intelligent machine-learning solutions at scale.
  • Unlock career opportunities with Microsoft Azure Databricks certification.
  • Learn from industry experts and gain hands-on experience.
  • Become proficient in implementing machine learning solutions.
  • Boost your skills and expertise in machine learning on Azure.

Target Audience

Designed for machine learning enthusiasts, data scientists, developers, and professionals seeking to enhance their machine learning and Azure Databricks capabilities. This course is suitable for both beginners and experienced individuals.


A basic understanding of machine learning concepts is recommended but not mandatory.


2 + 7 =

DP-090 Course Objectives

  • Gain expertise in implementing machine learning solutions on Microsoft Azure Databricks.
  • Understand the full spectrum of Azure Databricks tools and services.
  • Create, train, and deploy machine learning models tailored to your specific needs.
  • Integrate machine learning solutions seamlessly into your existing applications.
  • Optimize machine learning models and solutions for maximum performance.
  • Prepare for Microsoft’s DP-090 certification exam.

DP-090 Course Content

Module 1:Introduction to Azure Databricks

  • Getting Started with Azure Databricks
  • Working with Data in Azure Databricks

Module 2: Training and Evaluating Machine Learning Models

  • Preparing Data for Machine Learning
  • Training a Machine Learning Model

Module 3: Managing Experiments and Models

  • Using MLflow to Track Experiments
  • Managing Models

Module 4: Integrating Azure Databricks and Azure Machine Learning

  • Tracking Experiments with Azure Machine Learning
  • Deploying Models
  • Deploying Models in Azure Machine Learning
  • Running Experiments in Azure Machine Learning

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DP-090 FAQs

1. What is the purpose of Azure Databricks?
Azure Databricks offers up-to-date versions of Apache Spark and enables seamless integration with open-source libraries.
2. What is the machine learning feature of Databricks?
Databricks Machine Learning offers pre-built infrastructure for deep learning, featuring built-in GPU support with drivers and supporting libraries. It also incorporates popular deep learning frameworks such as TensorFlow, PyTorch, and Keras, along with supporting libraries like Petastorm, Hyperopt, and Horovod.
3. What are the benefits of using Databricks?

Utilizing Databricks, organizations can efficiently oversee the complete machine learning lifecycle, spanning from data preparation to deployment. This results in a reduction of the time required to bring AI applications into production. Databricks Runtime for machine learning automatically generates a cluster that is configured for machine learning projects.

4. What is Azure Databricks machine learning?
Azure Databricks is a platform at a cloud scale designed for data analytics and machine learning. It provides data scientists and machine learning engineers with the capability to deploy machine learning solutions at scale.
5. What are the two main components of the Databricks architecture?

Databricks functions with a control plane and a compute plane. The control plane encompasses the backend services that Databricks oversees within your Databricks account.

6. What are the advantages of Azure Databricks?

Azure Databricks simplifies the onboarding process for new users on the platform. It alleviates the challenges and apprehensions associated with managing cloud infrastructure, all while preserving the flexibility and control essential for experienced data, operations, and security teams.

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