Course information

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

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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

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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

Our Kansas City venue

Includes..

Free Wi-Fi

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Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Kansas City is the largest city in the state of Missouri. It has an estimated population of 460,000 people which makes it the 37th most populated city in the United States. It was founded in the 1830s as a Missouri River port at its confluence with the Kansas River coming in from the west. Education in the USA is provided by both public and private schools, and is mandatory until the age of 16.  Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school.  At age 18, US citizens are able to engage in higher education.  Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend.  Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating a course at a community college will be earning credits in order to achieve an associate’s degree. There are 16 school districts in Kansas City which includes 10 public school districts. There is also a number of private schools, Catholic schools and Magnet Schools. The Catholic schools are governed by the Diocese of Kansas City. The following are some examples of the public school districts: Kansas City, MO School District, North Kansas City School District, Center School District, Hickman Mills C-1 School District and Grandview C-4 School District. There are a number of colleges and universities in the Kansas City area such as the University of Kansas, University of Missouri, Rockhurst University and Kansas City University of Medicine and Biosciences. The University of Kansas is the highest ranked Kansas University in the university world rankings. It is ranked at number 271st in the world. At The Knowledge Academy we offer over 50,000 classroom based training courses in the United States, including popular locations such as Kansas City.

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Crown
Two Pershing Square
2300 Main Street, 9th Floor
Kansas City
Missouri
64108

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Kansas City. 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.

Unlock your potential with The Knowledge Academy's Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Kansas City, 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.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Kansas City 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 Kansas City starts from $2995
The Knowledge Academy is the Leading global training provider for Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090.
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"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"

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