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Implement a Machine Learning solution with Azure Databricks (DP-3014)

Master Machine Learning implementations with Azure Databricks, and learn how to develop and deploy ML models for data-driven insights and decision-making.

course: Implement a Machine Learning solution with Azure Databricks (DP-3014)

Duration: 1 days

Format: Virtual or Classroom

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Overview

Master machine learning implementation with Azure Databricks through our specialized training and certification course. Learn to develop and deploy machine learning models using Databricks on Azure. From data preprocessing to model training, this course covers all aspects of machine learning solution implementation. With hands-on labs and expert-led instruction, you'll gain the skills needed to pass the DP-3014 exam and become certified as a lead implementer of machine learning solutions with Azure Databricks. Enroll now to get certified and become a leader in ML implementation.

This course includes
  • intructor-iconInstructor-led training
  • intructor-iconPractice test
  • intructor-iconPre-reading
  • intructor-iconPersonal Learning Path
  • intructor-iconCertification Guarantee
  • intructor-iconEmail, chat and phone support

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Who is this course for?

Who is the Implement a Machine Learning solution with Azure Databricks course for?

The "Implementing a Machine Learning Solution with Azure Databricks (DP-3014)" course is typically designed for data engineers, data scientists, and machine learning engineers who want to leverage Azure Databricks to build and deploy machine learning solutions at scale. This course is suitable for individuals who have a foundational understanding of machine learning concepts and techniques, as well as experience working with big data technologies and distributed computing environments.

Curriculum

What you will learn during our Implement a Machine Learning solution with Azure Databricks course.

  • Explore Azure Databricks
  • Use Apache Spark in Azure Databricks
  • Train a machine learning model in Azure Databricks
  • Use MLflow in Azure Databricks
  • Tune hyperparameters in Azure Databricks
  • Use AutoML in Azure Databricks
  • Train deep learning models in Azure Databricks

Preparation

How to best be prepared for our Implement a Machine Learning solution with Azure Databricks course.

  • [Dictionary item: Orange-check] Fundamental understanding of Microsoft Azure and its data services.
  • [Dictionary item: Orange-check] Knowledge of machine learning concepts and techniques.
  • [Dictionary item: Orange-check] Familiarity with Apache Spark and Databricks, including Spark programming with Python or Scala.
  • [Dictionary item: Orange-check] Experience in working with big data technologies and distributed computing environments.
  • [Dictionary item: Orange-check] Understanding of data engineering concepts, including data preprocessing, feature engineering, and model training.
  • [Dictionary item: Orange-check] Proficiency in using SQL for querying and manipulating data.
  • [Dictionary item: Orange-check] Basic understanding of statistics and probability.
  • [Dictionary item: Orange-check] Familiarity with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.
  • [Dictionary item: Orange-check] Strong problem-solving and analytical skills.
  • [Dictionary item: Orange-check] Excellent communication and collaboration skills.
  • [Dictionary item: Orange-check] Completion of relevant training or certification courses on Azure fundamentals and machine learning is recommended.

Meet our instructors

Meet some of the Readynez Instructors you can meet on your course. They are experts, passionate about what they do, and dedicated to give back to their industry, their field, and those who want to learn, explore, and advance in their careers.

Julian Sharp

Julian is an official Microsoft Business Application MVP and one of the most widely recognized experts on Dynamics 365.

Julian has been with Readynez almost since the start 15 years ago.

He has been an MCT since 2007 and he is a subject matter expert in all aspects of Dynamics 365 Customer Engagement through advice, optimization and training.

Julian has worked with Dynamics since first release and has over the past years used Azure to enhance solutions for users.

He is an official Microsoft Business Application MVP and is one of the most widely recognized experts for Power Platform and Dynamics 365 within the Microsoft Community.

He works as a Consultant on large international projects and and has extensive hands-on experience as well as numerous certifications.

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FAQ

FAQs for the Machine Learning solution with Azure Databricks (DP-3014) course.

This course teaches participants to implement machine learning solutions using Azure Databricks, enhancing data analysis and model-building capabilities for scalable data science projects.

Gain a foundational understanding of Azure services and machine learning principles. Experience with Azure Databricks through tutorials or related projects is also beneficial.

Basic knowledge of cloud computing, familiarity with machine learning concepts, and practical experience with Azure and data technologies are required.

The course fee is €695, which includes comprehensive hands-on training with Azure Databricks focused on real-world applications.

Topics include Azure Databricks setup, data exploration, machine learning workflows, model deployment, and integration with Azure services.

Yes, mastering Azure Databricks significantly enhances your skills in data science and machine learning, fields that are in high demand across multiple industries.

This course is designed to be completed within 1 day.

Yes, this course is available online, offering the flexibility to learn from anywhere and at your convenience.

The course is designed to be accessible to individuals with some background in Azure and machine learning, though it presents a moderate to challenging curriculum.

Participants will learn to efficiently implement and manage machine learning projects using Azure Databricks, gaining valuable skills that are applicable in various data-intensive industries.

Use the skills to lead machine learning projects, implement scalable ML solutions in your organization, and continue learning advanced techniques in data science.

Skills in Azure Databricks and machine learning can lead to advanced career opportunities and higher earning potential due to the growing need for data analytics expertise.

There are no exams or certifications associated with this course.

Reviews

Feedback from our delegates.

Johan Andersson

Johan Andersson

Easy to attend over Teams and an excellent instructor gave me great value for the time I invested.

Stephen Ridgway

Readynez is the best training provider I've used for many years. Their customer service is first class, prices are very competitive and instruction excellent.

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