Module 1: SAP BTP AI Landscape & Strategy (4 hrs)
Topic 1: AI evolution in SAP context
Topic 2: SAP BTP AI positioning and clean core strategy
Topic 3: Enterprise AI principles, ethics, and governance
Topic 4: Licensing, entitlements, and cost models
Module 2: SAP BTP Architecture Deep Dive (4 hrs)
Topic 1: Global account and subaccount structure
Topic 2: Cloud Foundry and Kyma environments
Topic 3: Security, identity, and connectivity architecture
Topic 4: AI service placement in BTP
Module 3: SAP AI Core & AI Launchpad (4 hrs)
Topic 1: AI Core pipelines and executions
Topic 2: Model lifecycle management
Topic 3: Training vs inference workloads
Topic 4: Monitoring and troubleshooting
Module 4: Foundation Models & LLM Integration (4 hrs)
Topic 1: SAP-provided vs external LLMs
Topic 2: Prompt engineering strategies
Topic 3: Latency, cost, and performance tradeoffs
Topic 4: Security and data isolation
Module 5: Data for AI on SAP BTP (4 hrs)
Topic 1: SAP HANA Cloud for AI workloads
Topic 2: Vector databases and embeddings
Topic 3: Structured vs unstructured data
Topic 4: Data governance and lineage
Module 6: Retrieval-Augmented Generation (RAG) on BTP (4 hrs)
Topic 1: RAG architecture principles
Topic 2: Embedding pipelines
Topic 3: Semantic search and grounding
Topic 4: Performance optimization
Module 7: AI Integration & Extension Scenarios (4 hrs)
Topic 1: AI in S/4HANA extensions
Topic 2: CAP-based AI services
Topic 3: Event-driven AI integration
Topic 4: Resilience and failure handling
Module 8: AI Governance, Security & Operations (4 hrs)
Topic 1: Enterprise AI governance models
Topic 2: Privacy, compliance, and auditability
Topic 3: AI observability
Topic 4: Cost and quota management
Module 9: Hands-On Labs & Use Case Engineering (4 hrs)
Topic 1: Build AI-powered SAP extensions
Topic 2: Implement RAG on SAP data
Topic 3: Secure AI service calls
Topic 4: End-to-end deployment
Module 10: Capstone & Enterprise Design Review (4 hrs)
Topic 1: Enterprise AI solution design
Topic 2: Architecture justification
Topic 3: Risk and cost analysis
Topic 4: Production readiness review
