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Extending SAP with Custom AI Models Training

Live Online & Classroom Enterprise Training

Extending SAP with Custom AI Models is a course that teaches how to integrate and deploy custom AI/ML models within SAP environments to enhance business processes with intelligent automation and tailored insights.

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What is Extending SAP with Custom AI Models Training about?

This course teaches how to extend SAP applications with custom-built AI/ML models using SAP AI Core, SAP AI Launchpad, and SAP Business Technology Platform (BTP). Participants will explore the full lifecycle of machine learning models—from development and deployment to monitoring—while learning how to operationalize TensorFlow/PyTorch models as SAP AI Business Services and integrate them into SAP applications.

What are the objectives of Extending SAP with Custom AI Models Training ?

  • Understand and manage the lifecycle of ML models in SAP environments
  • Use SAP AI Core & AI Launchpad for orchestrating model deployment and inference
  • Deploy and expose custom TensorFlow/PyTorch models as APIs
  • Integrate custom models with SAP applications using SAP BTP
  • Implement MLOps best practices using SAP AI Core and GitHub pipelines
  • Monitor, retrain, and manage models using SAP’s AI ecosystem

Who is Extending SAP with Custom AI Models Training for?

  • SAP Developers and Extension Architects
  • Data Scientists and ML Engineers working with SAP ecosystems
  • SAP BTP Consultants
  • Technical Product Owners working on AI-enabled business services
  • Innovation or AI CoEs within SAP customer/partner organizations

What are the prerequisites for Extending SAP with Custom AI Models Training?

Prerequisites:

  • Proficiency in Python and basic ML concepts
  • Familiarity with SAP BTP or cloud-native development
  • Knowledge of APIs and containerization (Docker/Kubernetes is a plus)

Learning Path:

  • Introduction to SAP BTP
  • AI/ML Model Development (TensorFlow, PyTorch)
  • SAP AI Core Fundamentals
  • SAP Integration Suite or API Management Basics

Related Courses:

  • CLD900 – SAP AI Foundation
  • OpenSAP – Operationalizing Machine Learning with SAP AI Core
  • SAP BTP Extension Suite Overview
  • ML Flow / MLOps Fundamentals (optional)

Available Training Modes

Live Online Training

4 Days

Course Outline Expand All

Expand All

  • Why extend SAP with custom AI
  • Use cases: Predictive maintenance, fraud detection, personalization, etc.
  • Overview of SAP BTP, AI Core, and AI Launchpad
  • Model development pipeline using TensorFlow/PyTorch
  • Versioning, packaging, and registering models
  • Introduction to MLOps and CI/CD for ML
  • Architecture and components
  • AI Core project structure and workflows
  • Deploying inference pipelines
  • AI Launchpad for model monitoring and re-training
  • Exposing models as SAP AI Business Services
  • Consuming models via API calls in SAP UI5, SAP CAP, or SAP S/4HANA
  • Authentication and security setup using SAP BTP
  • Train and package a custom model
  • Create an AI Core project and configure inference pipelines
  • Register and deploy the model on SAP AI Core
  • Expose as a REST API and consume it in a sample SAP Fiori or CAP app
  • Logging and error tracking
  • Model drift detection and automation
  • Integrating GitHub Actions for retraining workflows
  • Resource scaling and performance tuning

Who is the instructor for this training?

The trainer for this Extending SAP with Custom AI Models Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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Extending SAP with Custom AI Models Training - Certification & Exam

Certification:

  • SAP Certified Development Associate – Extension Developer for SAP BTP
  • TensorFlow Developer Certification
  • Microsoft Azure AI Engineer or Google Cloud ML Engineer

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