DP-100 Microsoft Azure Data Scientist Complete Exam Prep
What you'll learn
- Know how to implement solutions for the Microsoft Azure ML platform
- Pass the Microsoft DP-100 Microsoft Azure Machine Learning test the first time
- Achieve the Azure Data Scientist Associate badge
- Be up-to-date on the latest updates to this ever-changing platform
Covers the requirements of the updated DP-100 Exam, Designing and Implementing a Data Science Solution on Azure.
Updated as of Mar 2021.
This course goes through the requirements of the Microsoft DP-100 exam, section by section. We cover everything you need to know to pass the exam.
The Azure Data Scientist applies their knowledge of data science and machine learning to implement and run machine learning workloads on Azure; in particular, using Azure Machine Learning Service. This entails planning and creating a suitable working environment for data science workloads on Azure, running data experiments and training predictive models, managing and optimizing models, and deploying machine learning models into production.
This exam measures your ability to accomplish the following technical tasks: set up an Azure Machine Learning workspace; run experiments and train models; optimize and manage models; and, deploy and consume models.
Set up an Azure Machine Learning workspace (30-35%)
Run experiments and train models (25-30%)
Optimize and manage models (20-25%)
Deploy and consume models (20-25%)
Taught by Scott Duffy, the number one instructor of Microsoft Azure on Udemy.
You get lifetime access to the course, and so there are no silly "30-day" countdowns that require you to pay more to extend access. This course will be here when you need it.
Microsoft, Windows, and Microsoft Azure are either registered trademarks or trademarks of Microsoft Corporation in the United States and/or other countries. This course is not certified, accredited, affiliated with, nor endorsed by Microsoft Corporation.
Who this course is for:
- Senior technical people with exposure to Azure
- Those interested in passing the Azure DP-100 test
- Data team who want to learn more about implementing Machine Learning
Hi there, my name is Scott Duffy. And I love making complex technical topics easy to understand.
This has been the basis of my entire career – as a developer, as a development manager, as a software architect – over the past 20 years. I spend half my time in the world of business, explaining complex technical topics to business owners and stakeholders so that they can understand and agree with my approach to solving their business problems with technical solutions. And the other half with developers, explaining the business reasons behind decisions and ensuring that any decisions made on the technical side don't restrict the business in unexpected ways.
And I'm here on Udemy to teach what I know in an approachable way. I started teaching courses in 2014, and have taught over 600,000 students. I am grateful every day for being able to connect with so many students in almost every country around the world.
I'm a certified Enterprise Architect and certified cloud architect. I have been developing with Microsoft technologies for 20 years, starting with Classic ASP, and all the versions of .NET. We now live in the cloud era, with Microsoft Azure being prevalent in most large enterprises. I'm certified as an Azure Architect and Developer too. As well as AWS Solution Architect Associate (SAA).
Certified as an MCT by Microsoft.
SoftwareArchitect-ca provides quality online training about Enterprise Architecture and Microsoft Azure. Whether you are just starting out, or are a grizzled veteran in the field, Software Architect provides courses to help you take your career to the next level.
SoftwareArchitect-ca is run by Scott Duffy, who is a TOGAF 9 Certified architect and trainer. Scott's consulting company, Little Oliver Consulting, is a member of The Open Group architecture forum, which helps set the standards for the future.
Scott is also Azure certified as a Developer and Architect.
TOGAF is a registered trademark of The Open Group in the United States and other countries.