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 Ottawa venue

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

Video equipment

This location has full video conferencing equipment.

Ottawa is the capital city of Canada. It is located on the bank of the Ottawa River in the east of Southern Ontario province. It has an estimated population of 885,000 people. Ottawa is the fourth largest city in the world. The name of this city comes from the Algonquin word Odawa which means “to trade”. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Parents can choose between sending their children to one of the public schools or they can sent them to a fee paying private school. Those who live in Ottawa and find that picking a secondary school is a fraught decision involving school zones and ratings. There are four main public school boards in Ottawa. One is English, one is English-Catholic, and one is French and another is French-Catholic. The Ottawa-Carleton District School Board which is the largest with 147 schools to oversee. The catholic school board has 85 schools, the Conseil des écoles catholiques du Centre-Est has 49 schools and the Conseil des écoles publiques de l'Est de l'Ontario has 37 schools. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Ottawa is one of the best educates cities in Canada as it is believed that over half of the population have graduated from college or university. Ottawa has the highest per capita concentration of engineers, scientists, and residents with PhDs in Canada. The University of Ottawa was founded in 1848 and was the first higher education institute to be established in the city.  The university is a bilingual public university. The University of Ottawa is ranked in the top 300 universities in the world, coming in at number 284 and is a top 15 university in Canada.  The university has faculties in the following areas: arts, civil law, common law, education, engineering, post graduate studies, health sciences, medicine, science, social sciences and the school of management. Ottawa also has two main public colleges Algonquin College and La Cité collégiale. There are also 2 catholic universities in the city; Dominican University College and Saint Paul University.

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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 Ottawa. 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 Ottawa, 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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Team building opportunity

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Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Ottawa 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 Ottawa 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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Flexible delivery methods are available depending on your learning style.

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Resources are included for a comprehensive learning experience.

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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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