SAP AI Engineering Bootcamp: Joule, AI Core & Apps

Explore generative AI fundamentals in SAP, focusing on large language models, prompts, and enterprise applications powered by SAP AI Foundation models.

Explore Jewel, SAP AI Copilot embedded in SAP apps, turning natural language queries into automated, end-to-end enterprise workflows across S4 HANA, SuccessFactors, and Ariba.

Explore SAP AI Core, the managed runtime that powers enterprise AI systems by handling training, deployment, and real-time or batch inference through scalable pipelines and a continuous lifecycle.

Deploy trained models as live services in SAP AI Core through APIs and REST endpoints, enabling real-time, enterprise-ready inference and scalable, reliable workflows.

Learn how SAP data integration powers AI by turning raw enterprise data into model-ready inputs via end-to-end pipelines across SAP and external sources, enabling real-time and batch processing.

Connect AI models to enterprise workflows through rest apis, webhooks, and automation pipelines to transform data into actionable business outcomes. Enable end-to-end, real-time integration across applications, data, and workflows.

Build your first SAP AI app by connecting modular components into a complete AI system. Explore the layered architecture—front-end, back-end, AI core, data—and the input-process-output loop that drives real-world value.

Advance ai applications by designing enterprise-scale systems that orchestrate multi-step logic, cross-system automation, and hybrid processing, enabling autonomous, scalable workflows powered by SAP BTP triggers.

Apply ai for business operations to transform enterprise processes, reduce manual work and costs, and enable faster, real-time decisions across HR, finance, customer support, and document processing.

Explore real-world AI case studies that connect theory to measurable ROI through a five-stage framework, highlighting outcome-driven design, production deployments, and data-driven decision making.

Design scalable, production-grade enterprise AI systems by applying layered architecture, microservices, and secure data flow to ensure reliability, business alignment, and observability.

Orchestrate intelligent systems by connecting components into automated pipelines that manage data flow, execution order, and dependency management for production-grade AI systems.

Master deployment of SAP AI applications via strategies, CI/CD, and cloud deployment on SAP BTP, coupled with monitoring and best practices like canary deployments and rollbacks.

Balance speed, scale, and cost to deploy efficient, scalable AI systems. Use latency reduction, caching, model optimization, and elastic scaling with prudent resource management.

Explore SAP AI career paths and learn how to turn enterprise AI demand into high-value roles—from SAP AI engineer to enterprise AI consultant and AI-capable SAP developer.

Position your SAP AI skills as a high-value freelancing and enterprise consulting offering, starting from your first project to a full client pipeline with measurable business impact.

Accelerate SAP AI development with the templates pack, using production-ready prompts, workflow templates, architecture blueprints, and deployment starter kits to speed, accuracy, best practices, and standardization across enterprise AI projects.