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

OverviewStepsAuthor
DifficultyIntermediate
AVG Duration11h
Students1096
Ratings
4.5/5
starstarstarstarstar-half
Content
51115

Description

This learning path is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam. Even if you don't plan to take the exam, these courses and hands-on labs will help you learn how to use Azure's machine learning solutions.

Candidates who pass the DP-100 exam will earn the Microsoft Certified: Azure Data Scientist Associate certification.

Learning Objectives

  • Manage Azure resources for machine learning
  • Run experiments and train models
  • Deploy and operationalize machine learning solutions
  • Implement responsible machine learning

Intended Audience

  • People who want to become Azure data scientists
  • People preparing for Microsoft’s DP-100 exam

Prerequisites

  • Basic experience using Microsoft Azure

Certificate

Your certificate for this learning path
lock

Training Content

1
Course - Beginner - 4m
DP-100 Exam Prep: Introduction
This introduction gives an overview of the requirements for the Microsoft DP-100 Exam and how they will be covered.
2
Course - Beginner - 50m
Introduction to Azure Machine Learning
This course explores the basic concepts of machine learning and shows hands-on examples on the Azure platform.
3
Hands-on Lab - Beginner - 2h
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.
4
Course - Intermediate - 1h 23m
Using the Azure Machine Learning SDK
This course explores how to use Python and machine learning to manage data ingestion, data preparation, model training, and model deployment in Microsoft Azure.
5
Hands-on Lab - Intermediate - 1h 30m
Building Azure ML Pipelines using the Azure Machine Learning SDK
In this lab, use Azure's Machine Learning SDK to build an ML Pipeline to train and deploy a model.
6
Hands-on Lab - Beginner - 2h 30m
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.
7
Hands-on Lab - Intermediate - 1h
Tuning Hyperparameters with Hyperdrive in Azure Machine Learning
In this lab, use Azure's Machine Learning Hyperdrive package to quickly tune hyperparameters for a regression model.
8
Course - Intermediate - 19m
Managing Role-Based Access Control on Azure
In this course, you'll learn about Azure Role-Based Access Control and gain skills to allow you to manage access to resources in Azure.
9
Course - Intermediate - 42m
Running Spark on Azure Databricks
In this course, we will show you how to set up a Databricks cluster and run interactive queries and Spark jobs on it.
10
Hands-on Lab - Beginner - 1h
Using Azure Databricks to Import and Analyze Data
Learn to implement lightning-fast analytics by building an Azure Databricks workspace and cluster to interact with Azure Data Lake Store data.
11
Resource - Beginner - 1h 30m
Recommended Reading for DP-100 Exam
Before taking Microsoft's DP-100 exam, we recommend reading the material included in this resource.
12
Hands-on Lab Challenge - Advanced - 2h
Azure Machine Learning Challenge
In this lab challenge, you will take on the role of a data scientist and create a machine learning experiment and train a model. Once successful, you will deploy the model as a web service.
13
Exam - 3h
Cert Prep: Designing and Implementing a Data Science Solution on Azure (DP-100)
Cert Prep: Designing and Implementing a Data Science Solution on Azure (DP-100)
About the Author
Students112679
Courses67
Learning paths87

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).