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Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 Overview
Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 Course Outline
Within this training course you will learn the following modules:
Module 1: Introduction to Azure Databricks
In this module, you will learn how to provision an Azure Databricks workspace and cluster and use them to work with data.
Lessons
- Getting Started with Azure Databricks
- Working with Data in Azure Databricks
Lab: Getting Started with Azure Databricks
Lab: Working with Data in Azure Databricks
After completing this module, you will be able to:
- Provision an Azure Databricks workspace and cluster
- Use Azure Databricks to work with data
Module 2: Training and Evaluating Machine Learning Models
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.
Lessons
- Preparing Data for Machine Learning
- Training a Machine Learning Model
Lab: Training a Machine Learning Model
Lab: Preparing Data for Machine Learning
After completing this module, you will be able to use Azure Databricks to:
- Prepare data for modeling
- Train and validate a machine learning model
Module 3: Managing Experiments and Models
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.
Lessons
- Using MLflow to Track Experiments
- Managing Models
Lab: Using MLflow to Track Experiments
Lab: Managing Models
After completing this module, you will be able to:
- Use MLflow to track experiments
- Manage models
Module 4: Integrating Azure Databricks and Azure Machine Learning
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning
Lessons
- Tracking Experiments with Azure Machine Learning
- Deploying Models
Lab: Deploying Models in Azure Machine Learning
Lab: Running Experiments in Azure Machine Learning
After completing this module, you will be able to:
- Run Azure Machine Learning experiments on Azure Databricks compute
- Deploy models trained on Azure Databricks to Azure Machine Learning
Who should attend this Implementing A Machine Learning Solution with Microsoft Azure Databricks DP090 Course?
The Implementing A Machine Learning Solution with Microsoft Azure Databricks DP090 Course is designed for individuals who want to learn how to implement machine learning solutions using Microsoft Azure Databricks, a unified analytics platform for big data and machine learning. A variety of professionals can benefit from this course, such as:
- Data Scientists
- Machine Learning Engineers
- Data Analysts
- AI Developers
- Big Data Engineers
- Solution Architects
- Technical Consultants
Prerequisites of the Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 Training Course
Before attending this course, participants should have some experience of using Python and some knowledge of machine learning concepts. A basic knowledge of the following might help as well:
- Experience with Azure
- Understanding of Data Science and Machine Learning
- Knowledge of Python or Scala
- Familiarity with Big Data Systems
- Basic Mathematics
Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 Course Overview
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.
Course objectives:
- 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
What’s included in this Implementing A Machine Learning Solution with Microsoft Azure Databricks DP090 Training Course?
- World-Class Training Sessions from Experienced Instructors
- Digital Delegate Pack
Why choose us
Ways to take this course
Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.
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Join a scheduled class with a live instructor and other delegates.
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Engage in activities, and communicate with your trainer and peers.
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Unlock your potential with The Knowledge Academy's Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.
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Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 FAQs
Azure Databricks is an industry-leading, cloud-based data engineering tool used to process and transform large amounts of data and to analyse data through Machine Learning (ML) models.
Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.
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
A Machine Learning (ML) solution is a complete set of intellectual property, tools, and software that can be used to develop AIs across a wide range of devices.
There are the eight steps of implementing a Machine Learning Solution such as collecting data and working on feature engineering, shortlisting key features, filtering out duplicate data, picking the most suitable solution, tuning model parameters, training the model, streamlining and getting started, and finally overseeing and monitoring operations.
MLflow is an open-source platform designed to manage the end-to-end Machine Learning (ML) lifecycle.
During this training, you will learn various concepts such as introduction to Azure Databricks, working with data in Azure Databricks, managing models, managing experiments and models, Azure machine learning, deploying models, and more topics that will make you skilled at using Azure Databricks to train a machine learning model.
The training fees for Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090in the United States starts from $2995
The Knowledge Academy is the Leading global training provider for Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090.
Please see our Microsoft Azure Certification courses available in the United States
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Many delivery methods
Flexible delivery methods are available depending on your learning style.
High quality resources
Resources are included for a comprehensive learning experience.
"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"
Joshua Davies, Thames Water
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