• Introduction
• Introducing RAPID-ML
• Launching
• Creating a Project and RAPID Model
• Defining Data Types
• Defining Resources
• Inspecting the Model
• Documenting Model Elements
• Adding Collection and Index Resources
• Customizing Reference Links
• Sharing and Reusing Data Models
• Customizing Data Type Realization
• Resolving Ambiguous Data Type References
• Trying the API with the Mock Service
• Generating Code and Documentation
• Conclusion