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Course Outline

Introduction to the Microsoft Power Platform

  • Overview of the Power Platform components (Power Apps, Power Automate, Power BI, and Dataverse)
  • Typical use cases within industrial and engineering enterprises
  • The Low-Code / No-Code paradigm and its benefits for organizations
  • Licensing models, environment structure, and governance frameworks

Power Apps Basics

  • Differentiating app types (Canvas vs. Model-Driven)
  • Anatomy of a Canvas app: screens, components, controls, and layout structures
  • Common data sources: SharePoint, Excel, SQL Server, and Dataverse
  • Establishing connections to existing data lists and libraries
  • Implementing data validation and conditional logic

Practical exercises:

  • Building an inventory management app featuring entries, outputs, and critical level alerts
  • Creating an equipment control and calibration app with expiration date tracking and status monitoring

Automation via Power Automate

  • Categorizing flow types: automated, instant, and scheduled
  • Triggers and actions: initiating flows and integrating tools
  • Synchronizing with Power Apps through buttons and trigger forms
  • Utilizing conditions, approvals, notifications, and automated record-keeping
  • Best practices for designing reusable flows

Practical exercises:

  • Automating the test request process (ST) incorporating approval steps
  • Setting up automatic alerts for equipment awaiting calibration
  • Automating the logging of stock movements

Guided Development: Corporate Projects

  • Efficient requirements gathering with participants
  • Collaborative design of actual company screens and workflows
  • Constructing functional prototypes under instructor guidance
  • Conducting validation, adjustments, and simulated testing

Best Practices, Governance, and Maintenance

  • Structuring environments (Development, Testing, Production)
  • Administering permissions and data security
  • Documenting and versioning applications and flows
  • Best practices for ongoing maintenance and scalability
  • Planning the evolution of solutions post-training

Requirements

  • A solid understanding of business process workflows
  • Experience with Microsoft 365 tools (e.g., SharePoint, Excel)

Target Audience

  • Process owners and analysts in industrial and engineering sectors
  • IT support staff and citizen developers
  • Managers seeking to automate and digitize their workflows
 21 Hours

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