SAP AI Core

SAP AI Core is SAP BTP's machine learning service for training, deploying, and managing AI models with open-source frameworks and full lifecycle tools.

This training covers AI pipelines and Argo Workflows, model serving and inference, generative AI hub, integration with SAP Datasphere and Launchpad, and embedding AI into SAP applications so you can operationalize ML at scale across SAP and non-SAP systems.

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SAP AI Core Training equips you to build end‑to‑end AI pipelines on SAP BTP. You will master Argo Workflows to orchestrate model training and deployment.

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Curriculum

SAP AI Core, Machine Learning Platform, SAP BTP, Generative AI, AI training Course Syllabus Structure

SAP AI Core Training delivers comprehensive coverage of open‑source frameworks within SAP BTP. You will gain practical experience configuring CI/CD pipelines for AI model lifecycle.

• Overview of enterprise AI and ML concepts
• Role of SAP AI Core in SAP Business Technology Platform
• AI Core vs AI Launchpad overview
• Business use cases for SAP AI services
• End-to-end AI lifecycle in SAP landscape

• SAP AI Core architecture overview
• Runtime, execution, and orchestration concepts
• Kubernetes-based infrastructure basics
• Integration with SAP AI Launchpad
• Architecture supports scalable AI workloads

• SAP BTP subaccount and service setup
• AI Core instance creation
• Resource groups and namespaces
• Authentication and service keys
• Environment setup enables AI execution

• ML lifecycle: train, deploy, consume
• Training pipelines and execution flows
• Model versioning and lifecycle control
• Artifact management concepts
• Workflow ensures repeatable AI operations

• Training jobs and configurations
• Docker images and execution templates
• Handling datasets and input artifacts
• Monitoring training runs
• Training enables accurate models

• Deployment of trained models
• Serving endpoints and inference concepts
• Online vs batch inference
• Scaling and availability handling
• Deployment enables AI consumption

• Integration with SAP S/4HANA
• Integration with SAP BTP services
• Using APIs for inference consumption
• Event-driven AI scenarios
• Integration embeds AI into business processes

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SAP AI CORE TRAINING
SELF ASSESSMENT

SAP AI Core Training assessment measures your competence in real‑world model deployment. The evaluation features a hands‑on project that publishes a predictive model to SAP AI Core and a timed practical exam.

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Global SAP Training Spotlight Award
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SAP AI Core Training equips you with the expertise to manage AI model lifecycles on SAP BTP. The course includes hands‑on labs for building Argo Work pipelines and deploying TensorFlow models, achieving production‑ready AI in under 30 minutes.

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Participate in expert-led mock interviews and skill evaluation sessions after program completion.

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SAP AI Core — Flexible Batches For You

StatusDateTypeScheduleTime
SOLD OUT 30 Aug 2026 Weekend SAT - SUN (08 Weeks) 18:00 - 20:00
FILLING FAST 4 Sep 2026 Weekday MON - FRI (08 Weeks) 08:00 - 10:00
AVAILABLE 9 Sep 2026 Weekend SAT - SUN (08 Weeks) 10:00 - 12:00
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FAQ

Frequently Asked Questions

Q: What is the core function of SAP AI Core on the BTP platform? A: SAP AI Core provides a managed environment to build, train, and deploy machine‑learning models using open‑source frameworks. Q: How does SAP AI Core support generative AI workflows? A: It integrates Argo Workflows to orchestrate data pipelines and model serving for generative AI tasks. Q: Can developers monitor model performance directly within SAP AI Core? A: Yes, built‑in lifecycle tools offer real‑time metrics and automated retraining triggers.

SAP AI Core training by ZebLearn covers real-time implementation, certification preparation, and industry use cases with insights into certification cost, salary trends, and career scope in 2026.

SAP AI Core is used in enterprises for automation, analytics, integration, or governance. ZebLearn explains real-time project scenarios and workflows.

SAP AI Core includes advanced configuration, automation, analytics, and optimization features explained with hands-on labs.

SAP AI Core is compared with similar tools based on functionality, scalability, and business use-cases with decision-making insights.

Skills include configuration, integration, business understanding, and project experience. ZebLearn provides structured learning.

Lifecycle includes requirement analysis, configuration, testing, deployment, and support phases.

Challenges include integration complexity, performance issues, and configuration errors with solutions provided.

SAP AI Core is used in industries for optimization, automation, compliance, and analytics with real examples.

Career roles include consultant, analyst, and specialist with strong salary growth opportunities.

ZebLearn roadmap: basics → advanced → projects → certification → interview prep.

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