Practitioner Level
4 Hands-on labs

DP-100 Part 1 - Preparation

By Brian Roehm

Prepare for designing and implementing a data science solution on the Azure (DP-100) certification exam with machine learning experiments.

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8 hours
  • 42 Lessons
  • 4 Hands-On Labs

About the course

In this course, we focus on the preparation needed to begin Azure Machine Learning experiments. This course is part one of a three-part series in preparation for the DP-100 exam.

We will examine:

  • An Introduction to Azure Machine Learning
  • Create an Azure Machine Learning Workspace
  • Manage Experiment Compute Contexts
  • Design the Data Preparation Flow
  • Manage Data Objects in an Azure Machine Learning Workspace

Lab Highlights

Create an Azure Machine Learning Pipeline Storing Container Data in Azure Blob Storage Create an Azure Machine Learning Workspace Create an Experiment in Azure Machine Learning
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  • Chapter 1 6 Lessons Introduction 14:27

    An Important Note About A Cloud Guru and Linux Academy Courses

    1:19

    Course Introduction

    2:50

    About the Training Architect

    1:05

    Using the DP-100 Essentials Guide

    1:26

    About the Exam

    4:30

    A Note on Data Science and Mathematics

    3:17
  • Chapter 2 8 Lessons An Introduction to Azure Machine Learning 44:39

    An Overview of the Data Science Lifecycle

    8:51

    Quantify the Business Problem

    5:35

    The Basics of Azure Machine Learning

    4:20

    An Introduction to Azure Machine Learning Development Environments

    6:54

    Azure Notebook

    7:52

    Jupyter Notebooks

    5:28

    Zeppelin Notebooks

    2:20

    Exam Essentials and References - AML Introduction

    3:19
  • Chapter 3 8 Lessons Create an Azure Machine Learning Workspace 1:16:16

    An Introduction to the Azure Machine Learning Workspace

    5:08

    Accompanying Resources with Azure Machine Learning Workspaces

    7:46

    Access Control (IAM)

    6:30

    Create an Azure Machine Learning Workspace

    2:54

    Configure Workspace Settings

    9:30

    Manage a Workspace by Using Azure Machine Learning Studio

    11:09

    Exam Essentials and References - AML Workspace Creation

    3:19

    Create an Azure Machine Learning Workspace

    30:00 Hands-On Lab
  • Chapter 4 5 Lessons Manage Experiment Compute Contexts 1:49:55

    An Overview of Experiments in Azure Machine Learning

    5:38

    Create a Compute Instance

    3:33

    Create Compute Targets for Experiments and Training

    8:41

    Exam Essentials and References - AML Compute

    2:03

    Create an Experiment in Azure Machine Learning

    1:30:00 Hands-On Lab
  • Chapter 5 6 Lessons Design the Data Preparation Flow 1:20:24

    Azure Data Factory

    6:00

    Spark

    9:00

    Azure Machine Learning Versus HDInsight with Spark Cluster

    4:45

    Azure Databricks

    8:26

    Docker

    7:13

    Storing Container Data in Azure Blob Storage

    45:00 Hands-On Lab
  • Chapter 6 7 Lessons Manage Data Objects in an Azure Machine Learning Workspace 2:35:22

    Pipelines in Azure Machine Learning

    14:50

    Datasets and Dataset Management

    7:34

    Register and Maintain Data Stores

    6:30

    Create and Manage Datasets

    8:39

    A Word on Data Drift

    7:20

    Exam Essentials and References - AML Data Management

    5:29

    Create An Azure Machine Learning Pipeline

    1:45:00 Hands-On Lab
  • Chapter 7 2 Lessons Course Conclusion 6:50

    Review and Final Notes

    3:48

    What's Next

    3:02

What you will need

  • AZ-900

What are Hands-on Labs

What's the difference between theoretical knowledge and real skills? Practical real-world experience. That's where Hands-on Labs come in! Hands-on Labs are guided, interactive experiences that help you learn and practice real-world scenarios in real cloud environments. Hands-on Labs are seamlessly integrated in courses, so you can learn by doing.

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