Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Hong Kong

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Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090

Hong Kong

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.

Dates & Prices Dates & Prices

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

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

Our Hong Kong 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.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

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 Hong Kong. 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.

Learn more in our FAQs

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

Learn more in our FAQs

What our customers are saying

Implementing A Machine Learning Solution With Microsoft Azure Databricks DP090 | Azure | in Hong Kong FAQs

What is Azure Databricks used for?

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.

What are the prerequisites?

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts.

Who should attend this course?

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

What is a machine learning solution?

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.

What are the steps of implementing a Machine Learning Solution?

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.

What is MLflow used for?

MLflow is an open-source platform designed to manage the end-to-end Machine Learning (ML) lifecycle.

What will I learn in this Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 training course?

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.

What is the cost/training fees for Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 in Hong Kong?

The training fees for Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090in Hong Kong starts from HKD12595

Which is the best training institute/provider of Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090 in Hong Kong?

The Knowledge Academy is the Leading global training provider for Retired: Implementing a Machine Learning Solution with Microsoft Azure Databricks DP090.

What are the best Microsoft Azure Certification courses in Hong Kong?

Please see our Microsoft Azure Certification courses available in Hong Kong

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Trusted & Approved

Microsoft Azure Training

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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