Course Description

    This course examines the key elements of Microsoft 365 messaging administration, including message transport and mail flow, messaging security, hygiene, and compliance, messaging infrastructure, and hybrid messaging. This course is designed for IT Professionals who deploy and manage the messaging infrastructure for Microsoft 365 in their organization.

    Audience Profile

    The Messaging Administrator deploys, configures, manages, and troubleshoots recipients, permissions, mail protection, mail flow, and public folders in both on-premises and cloud enterprise environments. Responsibilities include managing message hygiene, messaging infrastructure, and hybrid configuration and migration. To implement a secure hybrid topology that meets the business needs of a modern organization, the Messaging Administrator must collaborate with the Security Administrator and Microsoft 365 Enterprise Administrator. The Messaging Administrator should have a working knowledge of authentication types, licensing, and integration with Microsoft 365 applications.

    Course Outline

    This module will cover the business value of a customer data platform and the user interface of Dynamics 365 Customer Insights.


    • Introduction to the customer data platform
    • Administer Dynamics 365 Customer Insights
    • Explore user permissions in Dynamics 365 Customer Insights

    Lab : Verify environment

    After completing this module, students will be able to:

    • Describe the value of a customer data platform
    • Describe the functionality of Dynamics 365 Customer Insights
    • Administer environments and users in Dynamics 365 Customer Insights

    This module will cover how to clean, transform, and import Data into Customer Insights.


    • Import and transform data
    • Connect to data sources
    • Work with data

    Lab : Ingest data

    After completing this module, students will be able to:

    • Perform data transformation and import data using Power Query
    • Connect to Microsoft Dataverse and Common Data Model sources
    • Set up data refreshes

    This module will cover how to map, match, and merge data to create a unified customer profile. After creating the customer profile, we will define search and filter indexes to search for customers.


    • Map data
    • Match data
    • Merge data
    • Find customers

    Lab : Unify the data

    After completing this module, students will be able to:

    • Map data, including using intelligent mapping, primary keys, and attribute types
    • Match data, including specifying order, rules, conditions, and deduplication
    • Merge data using system recommendations or manually
    • Configure search and filter indexes
    • Search for customers

    This module will cover relationships, activities, measures, and segments.


    • Explore Audience insights
    • Define relationships and activities
    • Work with measures
    • Work with segments

    Lab : Work with activities

    Lab : Define measures

    Lab : Create segments

    After completing this module, students will be able to:

    • Define activities
    • Define relationships
    • Create measures from scratch or use a template
    • Manage segments and get suggested segments

    This module will cover how to enrich data, including brand and interest enrichment, how to use predictions, and how to use machine learning models.


    • Enrich data
    • Use predictions
    • Use machine learning models

    Lab : Subscription Churn Model

    Lab : Predictions

    Lab : Enrich data

    After completing this module, students will be able to:

    • Identify the different options for data enrichment
    • Enrich their customer data
    • Define predictions
    • Predict subscription churn
    • Use machine learning models
    • Describe responsible AI principles

    This module will cover extension options for Customer Insights data, including how to surface data in Dynamics 365 applications and the Microsoft Power Platform.


    • Export Customer Insights data
    • Use Customer Insights with Microsoft Power Platform
    • Display Customer Insights data in Dynamics 365 apps
    • More ways to extend Customer Insights

    Lab : Extend with the Power Platform

    Lab : Extend with the Dynamics 365 apps

    After completing this module, students will be able to:

    • Surface Customer Insights data in Dynamics 365
    • Use Customer Insights with Power Apps, Power Automate, and Power BI
    • Use Customer Insights with Azure Synapse Analytics
    • Understand use cases for Customer Insights APIs

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