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DP-100 Exam Prep: Designing and Implementing a Data Science Solution on Azure

This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.
Difficulty: Intermediate
Duration: Up to 17 hours
Students: 2,838
Rating: 4.5/5
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18 steps
There are 11 Courses in this learning path
There are 5 Hands-on Labs in this learning path
There is 1 Resource in this learning path
There is 1 Exam in this learning path
COURSE
Intermediate
Duration: 3 minutes and 37 seconds
DP-100 Exam Prep Introduction
Welcome to this introduction to the Designing and Implementing a Data Science Solution on Azure course.
COURSE
Beginner
Duration: 15 minutes and 34 seconds
Automating AI Model Creation With Azure Machine Learning
In this lesson, you will learn how to use Azure Machine Learning to train and deploy an AI model.
HANDS-ON LAB
Beginner
Duration: Up to 2 hours and 15 minutes
Introduction to Azure Machine Learning Studio
In this lab, use Azure's Machine Learning Studio to build an ML Pipeline to train and deploy a model.
HANDS-ON LAB
Beginner
Duration: Up to 2 hours and 30 minutes
Creating a Classification Model with AutoML in Azure Machine Learning Studio
In this lab, use Azure's Automated Machine Learning service to quickly develop production-ready models with minimal time and effort.
COURSE
Intermediate
Duration: 37 minutes and 21 seconds
Setting Up an Azure Machine Learning Development Environment
Learn how to set up a development environment on Azure.
COURSE
Intermediate
Duration: 18 minutes and 41 seconds
Accessing Data in Azure Machine Learning
In this Azure Machine Learning data access lesson, students will learn how to access data from various sources and formats using the Machine Learning Studio and the Python SDK.
COURSE
Intermediate
Duration: 20 minutes and 38 seconds
Creating and Monitoring an Azure Machine Learning Environment
Welcome to this Creating and Monitoring an Azure Machine Learning Environment lesson.
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