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 Edmonton venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

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.

Edmonton is the capital city of the province of Alberta in Canada. It’s the second largest city in Alberta and the fifth in Canada, with a population of around 850,000 people. Edmonton is known as ‘Canada’s Festival City’ for the fact is hosts a large amount of festivals over the year. Edmonton is the centre of a number of large oil sands projects and diamond mining activities occurring in the northwest territories of Canada. There are two English school boards in Edmonton and one French school board which govern the public schools. There are also a large amount of private schools, not governed by any board, and many parents choose to home-school their children. Schools in Edmonton are funded by property taxes and a large number of provincial grants but also provide resources and support for those who home-school or are home-schooled. There are six universities in Edmonton; Concordia University College of Alberta, MacEwan University, The King's University College, NorQuest College, Northern Alberta Institute of Technology (NAIT) and the University of Alberta, providing a large amount of degrees and programs for students. The largest is the University of Alberta and educates up for 40,000 students on around 400 programs. The second in the MacEwan University which caters to around 40,000 students, 14,000 of these being full-time. This university provides degrees, diplomas and certificates in a wide number of programs. Miscellaneous educational institutions include Taylor University College and Seminary and the Yellowhead Tribal College, which is a First Nations college.

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Address

Intelligent Office
Scotia Place
Tower 1,
10060 Jasper Avenue
Suite 2020 (20th Floor)
Edmonton
Alberta
T5J 3R8

T: +1 6474932992

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 Edmonton. 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 Edmonton, 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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Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Edmonton 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 Edmonton starts from CAD3995
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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