DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks Course Overview

The Microsoft DP-090 certification training course from CloudThat is designed to train candidates who plan to take up the Microsoft DP-090: Implementing a Machine Learning Solution with Microsoft Azure Databricks certification exam. Taking this course and passing the Microsoft DP-090 exam will meet all the requirements needed to become a Microsoft Certified Azure Data Scientist.

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.

After completing DP-090 Course, 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

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DP-090 Certification Course Key Features

  • Our training modules have 50% -60% hands-on lab sessions to encourage Thinking-Based Learning (TBL).
  • Interactive-rich virtual and face-to-face classroom teaching to inculcate Problem-Based Learning (PBL).
  • Microsoft certified instructor-led training and mentoring sessions to develop Competency-Based Learning (CBL).
  • Well-structured use-cases to simulate challenges encountered in a Real-World environment.
  • Integrated teaching assistance and support through experts designed Learning Management System (LMS) and ExamReady platform.
  • Being a Microsoft Learning Partner, we offer authored curriculum that are at par with industry standards.

Who should attend this DP-090 Certification Training

  • This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks.

Implementing a Machine Learning Solution with Microsoft Azure Databricks Course Prerequisites

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:

  • Create machine learning models
  • Benefits of DP-090 Certification Training

    • Enhanced Skill Set: Attaining DP-090 certification signifies expertise in implementing machine learning solutions on Azure Databricks. It demonstrates a deep understanding of data engineering, model training, deployment, and optimization within the Azure environment.
    • Career Advancement: The certification can significantly boost your career prospects by showcasing your proficiency in a specialized area of machine learning. Employers often seek certified professionals, and DP-090 can set you apart from others in the competitive job market.
    • Industry Recognition: Microsoft certifications are widely recognized in the industry. DP-090, being specific to Azure Databricks, aligns with the growing demand for professionals with expertise in cloud-based machine learning solutions.
    • Employability: DP-090 certification enhances your employability by demonstrating practical skills that are directly applicable to real-world scenarios. Organizations using Azure Databricks may prioritize hiring individuals with this certification for their machine learning projects.
    • Access to Exclusive Resources: Microsoft often provides certified professionals with access to exclusive resources, including updates, webinars, and networking opportunities. Staying connected with the Azure and Databricks communities can further enrich your knowledge and professional network.
    • Validation of Practical Experience: DP-090 is designed to assess practical skills in implementing machine learning solutions. Earning the certification validates your ability to work on hands-on projects, providing tangible evidence of your practical experience in Azure Databricks.
    • Increased Confidence: Successfully completing the DP-090 certification process can boost your confidence in working with Azure Databricks. It ensures that you are well-versed in using the platform to design, build, and optimize machine learning models, instilling confidence in your abilities.
    • Alignment with Industry Trends: As machine learning continues to evolve, having a certification like DP-090 keeps you aligned with the latest industry trends and technologies. It demonstrates your commitment to staying updated in the rapidly changing field of data science and machine learning.
    • Organizational Benefits: Employers benefit from having DP-090 certified professionals on their teams, as it can lead to more efficient implementation of machine learning solutions on Azure Databricks. This, in turn, contributes to improved data-driven decision-making within the organization.
    • Preparation for Advanced Certifications: DP-090 serves as a solid foundation for pursuing more advanced certifications in the Microsoft ecosystem. Building on this certification can open doors to further specializations and opportunities for career growth within the Azure and Databricks domains.

    DP-090 Training Course Outline Download Course Outline

    In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

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

    In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

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

    In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

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

    In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning.

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

    Course Fee

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    Course ID: 13596

    Course Price at

    $399 + 0% TAX
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    FAQs:

    The DP-090 certification primarily focuses on implementing machine learning solutions using Microsoft Azure Databricks. It covers various aspects of designing, building, training, and deploying machine learning models on the Azure Databricks platform.

    While some foundational knowledge in machine learning is beneficial, DP-090 is designed to be accessible for both beginners and experienced professionals. The exam content covers a range of skill levels, making it suitable for those looking to specialize in machine learning on Azure Databricks.

    Achieving DP-090 certification demonstrates your proficiency in implementing machine learning solutions on Azure Databricks, which is a valuable skill in today's data-driven landscape. Employers often seek professionals with hands-on experience in deploying machine learning models, making this certification an asset for career advancement.

    Microsoft provides official documentation and learning paths for DP-090 exam preparation. Additionally, online courses, practice exams, and community forums can be valuable resources. Exploring Azure Databricks documentation and related Microsoft Azure courses can enhance your understanding of the topics covered in the certification.

    As of my last knowledge update in January 2022, Microsoft certifications do not expire. However, Microsoft regularly updates its certifications to align with evolving technologies. It's advisable to check the official Microsoft certification page or contact Microsoft support for the most current information regarding certification validity and any potential changes in the future.

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