Advanced Development in Microsoft Dynamics 365 Finance and Operations Course Overview

To ensure a successful learning experience in the Advanced Development in Microsoft Dynamics 365 Finance and Operations course, participants should have the following minimum prerequisites:

• Basic understanding of Microsoft Dynamics 365 Finance and Operations functionality and navigation.
• Fundamental knowledge of the principles of business processes and their implementation in Microsoft Dynamics 365.
• Experience with basic form customizations and understanding of the core modules in Dynamics 365 Finance and Operations.
• Knowledge of the programming language used in Dynamics 365 Finance and Operations (X++), including the ability to write simple X++ code and classes.
• Familiarity with the concept of object-oriented programming (OOP), including classes, objects, inheritance, and polymorphism.
• Basic understanding of relational database concepts and experience with Microsoft SQL Server.
• Familiarity with Microsoft Visual Studio for development and debugging purposes.
• An understanding of the concept of unit testing and the purpose of creating test cases.
• Access to a Dynamics 365 Finance and Operations environment is highly recommended for hands-on practice and labs.

These prerequisites are intended to establish a foundation upon which the course content will build. They are not meant to discourage potential learners; rather, they are designed to ensure that participants can fully engage with and benefit from the advanced topics covered in the course.

Target Audience for Advanced Development in Microsoft Dynamics 365 Finance and Operations

1. This advanced course offers in-depth training on Microsoft Dynamics 365 Finance and Operations, aimed at experienced IT professionals.

   
   

2. Target audience for the Advanced Development in Microsoft Dynamics 365 Finance and Operations course:

   
   

• Dynamics 365 Developers
• ERP Developers
• Software Engineers with a focus on Microsoft technologies
• Technical Consultants specializing in Dynamics 365
• Systems Architects designing solutions for Finance and Operations
• IT Professionals aiming to enhance their Dynamics 365 customization skills
• Dynamics 365 Technical Support Staff
• Existing Dynamics AX Developers transitioning to Dynamics 365
• Systems Administrators with a focus on Dynamics 365 environments
• Database Administrators working with Dynamics 365 Finance and Operations

Learning Objectives - What you will Learn in this Advanced Development in Microsoft Dynamics 365 Finance and Operations?

Introduction to Learning Outcomes

In the Advanced Development in Microsoft Dynamics 365 Finance and Operations course, participants will enhance their technical skills by learning to extend, test, and optimize Dynamics 365 F&O, ensuring efficient and robust implementations.

Learning Objectives and Outcomes

• Understanding the principles of extensibility in Dynamics 365 F&O and alternatives to overlayering using extensions.
• Gaining proficiency in creating and managing extension models and packages with development tools.
• Learning to write, run, and manage unit tests to ensure code reliability and quality.
• Mastering advanced programming concepts, including collection and application object classes, along with the SysOperation and Runbase frameworks.
• Acquiring the ability to perform advanced data manipulations through querying, caching, locking, and working with tables and views in X++.
• Developing complex forms with an emphasis on architecture, methods, data sources, design, and control utilization.
• Implementing and managing number sequences within Dynamics 365 F&O for consistent data identity.
• Applying Extensible Data Security policies to control access to sensitive data effectively.
• Configuring and utilizing workflows to automate business processes and approvals.
• Creating and manipulating data entities for data import/export and integration with external systems.
• Understanding analytics in Dynamics 365 F&O by creating aggregate measurements, dimensions, and KPIs.
• Leveraging the Data Management Platform for data import/export tasks and mastering asynchronous recurring integration patterns.
• Developing and consuming services, including OData and custom services, and understanding authentication mechanisms.