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  • Overview

    About On-Demand Learning

    TechSherpas 365’s On-Demand courses provide you with access to Microsoft official courseware materials and hands-on labs, empowering you to learn at your own pace. On-Demand allows you to design your training around your schedule, budget, and individual learning needs.

    On-Demand Learning is a perfect solution for students who are unable to attend traditional instructor-led training due to schedule constraints. You receive the same materials and labs as an instructor-led course, with the added convenience of flexible scheduling and a lower price tag.

    This On-Demand Course Includes:

    • Microsoft Official Courseware License with Lifetime Access (and automatic version updates)
    • Access to Hands-on Labs for 180 days
    • Access to 3 hours of Instructor Time (upon request):
      • One-on-one live instructor time geared towards your specific needs
      • Scheduled in 1-hour increments

    About This Course

    This course will review the marketing application configuration needed to drive business growth. It will also dive into lead management, marketing forms and pages, segmentation, and email marketing messages. All these pieces are tied together through interactive customer journey design, including event and survey configuration.

    Audience Profile

    This course is designed for IT or marketing professionals who want to learn how to leverage Dynamics 365 Marketing for businesses.

    Job role: Functional Consultant

    Preparation for exam: MB-220

    Features: none

    Skills gained

    • Configure advanced settings
    • Manage marketing content, templates and integrations
    • Create and manage leads
    • Design and create marketing forms and pages
    • Create and manage segments
    • Set up and launch customer journeys
    • Create and manage events
    • Distribute and analyze surveys

    Prerequisites

    Knowledge of the Dynamics 365 platform and an understanding of basic marketing principles. Power Platform experience, especially in model-driven applications, is also recommended.