• Key differences between traditional AI, ML, and Gen AI
• Business benefits of AI adoption in SAP environments
• AI capabilities within SAP Business Technology Platform (BTP)
• AI Foundation vs. AI Core – key components
• Deployment options: Cloud vs. On-Premise
• Security, scalability, and integration features
• Pre-trained vs. custom AI models in SAP BTP
• SAP Joule and conversational AI capabilities
• Introduction to Responsible AI in SAP solutions
• Setting up runtime environments
• Managing AI pipelines and inference services
• Data connectivity with SAP S/4HANA and other sources
• Training custom AI/ML models in AI Core
• Deploying inference services with AI Core APIs
• Version control and model lifecycle management
• Using SAP AI API Hub for integrations
• Automating workflows with AI-powered bots
• Predictive analytics and scenario modeling
• Conversational AI for SAP Fiori apps
• Hyper automation and decision intelligence
• Governance, compliance, and ethical AI in SAP
• Managing model drift and retraining processes






















