- Course
DP-100: Designing and Implementing a Data Science Solution on Azure
This course will teach you the skills you need to approach the DP-100 exam with confidence.
Intermediate
DP-100: Designing and Implementing a Data Science Solution on Azure
Intermediate
- Course
DP-100: Designing and Implementing a Data Science Solution on Azure
This course will teach you the skills you need to approach the DP-100 exam with confidence.
Intermediate
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This course is included in the libraries shown below:
- Cloud
What you'll learn
In this course, **DP-100: Designing and Implementing a Data Science Solution on Azure**, you’ll learn to design, build, run, optimize, manage, and monitor machine learning experiments in Azure, with a focus on the objectives outlined in the Microsoft DP-100 certification exam study guide, including: * Designing and preparing a machine learning solution * Exploring data and training models * Preparing a model for deployment * Deploying and retraining a model When you’re finished with the course lessons, labs, quizzes, and practice exams, you’ll have the skills and knowledge necessary to approach the DP-100 exam with confidence.
Table of contents
Howdy fellow student of life! Thanks for your interest in learning more about what makes me tick. Throughout my tech career, I found that I had the most fun and the greatest satisfaction when I was helping others learn about and embrace software and related technologies. So, when I was honored to be offered a staff position as a training architect -- I realized a dream to combine my passion for technology and my passion for teaching others. I hope that the material I provide plays some small part in helping you pursue your passions, too. A leader of people, a shepherd of data -- and a follower of both -- I have more than 30 years in the tech industry, much of it focused on Microsoft stack services and databases, for both on-prem and cloud implementations. I cut my cloud teeth while reducing a patent to practice; we implemented a card game paradigm in a WCF service on Azure. It was late in 2012, when interacting with Azure involved a lot of co-mentoring with erstwhile Microsoft folks. I've had my head in the cloud(s) ever since!