Course Outline
Module 1: Overview & Architecture
Explain the Dynamics 365 ecosystem and key components of the Dynamics 365 Finance and Operations (FO) software. Detail the D365FO architecture, along with relevant design and deployment considerations.
Module 2: Developer Tools
Manage system implementations using Lifecycle Services. Customize D365FO through Visual Studio, manage source code and artifacts via version control, and utilize other development tools to complete tasks efficiently.
Module 3: Solution Design
Identify necessary application stack components and server architecture. Implement Application Lifecycle Management (ALM) and design comprehensive solutions for D365FO.
Module 4: AOT Elements
Construct forms, create and extend tables, and define Extended Data Types (EDT) and enumerations. Additionally, develop classes and extend existing Application Object Tree (AOT) elements.
Module 5: Code Development & Testing
Write X++ code and develop object-oriented solutions. Extend D365 FO functionality, understand the test framework and associated tools, and perform unit testing to ensure quality.
Module 6: Data Migration
Review migration tools and methodologies, and formulate a migration strategy. Prepare data for migration and execute Data Export/Import processes using Data Entities.
Module 7: Frameworks
Implement core D365 FO functionalities using established frameworks.
Module 8: Integration
Recognize data integration patterns and scenarios, and implement integration concepts and solutions. Set up recurring integrations, connect D365FO with Microsoft Azure, troubleshoot integration errors, and utilize the Data Management Package API.
Module 9: Reporting
Assess the capabilities and limitations of reporting tools in D365FO. Design, create, and refine Dynamics Reports and workspaces. Furthermore, design and maintain data sources that connect to external data stores outside of D365FO.
Module 10: Security & Performance
Utilize performance tools and LCS Environment Monitoring capabilities. Enforce role-based security policies, apply fundamental performance optimization techniques, and optimize batch processes, user interface performance, integrations, and report generation. The module concludes with a lab focusing on Async & Sandbox Functionality.
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