SAP-samples/ai-core-samples
📦 Open Source ProjectSAP-samples
A collection of workflow templates and notebooks to help developers productize ML use cases on SAP AI Core.
The SAP AI Core samples repository is a vital resource for data scientists and ML engineers working within the SAP ecosystem. It provides a structured approach to leveraging SAP AI Core, focusing on the lifecycle of machine learning models—from development to deployment and monitoring. The repository includes comprehensive workflow templates that demonstrate how to define, execute, and orchestrate ML pipelines using SAP's proprietary tools.
Key features include practical examples of SDK calls, configuration templates for AI pipelines, and best practices for handling data and model artifacts. By following these examples, developers can understand how to containerize their ML workloads, manage dependencies, and utilize SAP AI Core's infrastructure to scale their applications. The repository is designed to bridge the gap between local Jupyter-based experimentation and robust, enterprise-scale AI production environments, making it an indispensable tool for those looking to operationalize AI within SAP-centric architectures.
💡Highlights
- ├─Official SAP AI Core SDK examples
- ├─Ready-to-use ML workflow templates
- └─Production-grade pipeline patterns
🎯For
- ├─ML Engineers
- ├─SAP Developers
- └─Data Scientists