
The agenda for this session included:
• Introduction to core concepts and their relevance in enterprise environments
• Overview of how intelligent capabilities support business applications and processes
• Discussion on the connection between business systems, decision-making and automation
• Understanding how enterprise data and workflows can benefit from new technologies
• Exploration of business value across functions such as finance, supply chain and HR
• Clarification of course scope, learning path and expected outcomes
• Initial discussion around practical adoption in business scenarios
The agenda for this session included:
• Introduction to machine learning, deep learning and generative concepts
• Explanation of how different learning approaches solve different business problems
• Discussion on model behavior, training concepts and output generation
• Understanding the distinction between predictive logic and content generation
• Review of practical examples to connect theory with enterprise use cases
• Exploration of how these concepts support automation and decision support
• Clarification of terminology frequently used in later sessions
The agenda for this session included:
• Understanding responsible usage in enterprise implementations
• Discussion on reliability, trust and consistency of generated outputs
• Importance of relevance and contextual accuracy in business scenarios
• Overview of governance, policy and control considerations
• Review of possible risks, misuse and mitigation approaches
• Ethical considerations when solutions interact with users and data
• Discussion on how responsibility supports long-term adoption
The agenda for this session included:
• Overview of the broader solution ecosystem and major components
• Discussion on how different services work together in one landscape
• Understanding the current portfolio and available capabilities
• Exploration of business-focused and technical-focused areas within the ecosystem
• Review of integration opportunities across applications and services
• Understanding where each capability fits in practical project scenarios
• Recap of how the ecosystem supports enterprise transformation goals
The agenda for this session included:
• Detailed discussion on ethical considerations in implementation and usage
• Understanding privacy concerns when handling enterprise and user data
• Review of security expectations in business systems and connected services
• Discussion on compliance, governance and controlled access practices
• Exploration of common risk areas and ways to reduce exposure
• Understanding why privacy and security are critical in enterprise adoption
• Review of practical concerns that arise when working with sensitive information
The agenda for this session included:
• Introduction to Joule and its role in the overall landscape
• Walkthrough of core features and user-facing capabilities
• Understanding how users interact with prompts, responses and actions
• Exploration of how Joule supports productivity and business process navigation
• Review of practical usage patterns and experience flow
• Discussion on how the interface supports business users and consultants
• Initial exposure to how Joule fits into real project scenarios
The agenda for this session included:
• Overview of generative models and their role in enterprise use cases
• Discussion on selecting and using models for different scenarios
• Understanding the idea of customization and business-specific adaptation
• Review of how models can be connected to enterprise applications
• Exploration of technical and functional considerations for implementation
• Discussion on flexibility, extensibility and scenario-based usage
• Practical understanding of how model-driven development supports business needs
The agenda for this session included:
• Practical walkthrough of AI Core, Launchpad and hub-related activities
• Understanding how services are accessed and configured in the platform
• Exploration of model access, environment setup and testing flow
• Review of the overall navigation path for working with these services
• Discussion on how the technical setup supports future development work
• Practical exposure to the relationship between services and execution flow
• Clarification of how these components support experimentation and deployment
The agenda for this session included:
• Introduction to the build portfolio and its major components
• Discussion on application development using low-code capabilities
• Understanding how app creation fits into enterprise development scenarios
• Exploration of available tools for business users and technical users
• Review of portfolio areas related to apps, process automation and workspaces
• Understanding how development can happen with reduced coding effort
• Discussion on how build capabilities support business innovation
The agenda for this session included:
• Overview of process automation concepts in the platform
• Discussion on workflows, business tasks and automation opportunities
• Introduction to Joule skills and their purpose in execution scenarios
• Understanding how skills connect user requests with backend actions
• Review of automation flow, business triggers and response handling
• Exploration of where process logic and skills support each other
• Initial understanding of how intelligent execution begins in practical scenarios
The SAP AI Masterclass Training is an expert-level, hands-on program designed to help professionals master SAP’s Artificial Intelligence ecosystem and apply AI-driven innovation across enterprise landscapes. This course takes you from foundational AI concepts to advanced generative and agentic AI implementations, culminating in a real-world capstone project.
You will begin with AI fundamentals and SAP Business AI architecture, understanding SAP’s approach to relevant, reliable, and responsible AI. The course then introduces SAP Joule Copilot, embedded AI use cases across SAP S/4HANA, SuccessFactors, and IBP, and real-world applications of conversational AI
A major focus is placed on Generative AI and custom model development, including Retrieval-Augmented Generation (RAG) using HANA Cloud Vector Engine, prompt engineering, and model management within SAP’s Generative AI Hub. You will also explore Agentic AI, building and orchestrating intelligent agents using Joule Studio and multi-step business automations.
The program dives deep into SAP BTP as the AI backbone, covering AI Core, AI Launchpad, Datasphere integration, hyperscaler connectivity, and production model monitoring. You will work with SAP Build Platform for low-code and pro-code AI solutions, along with SAP Analytics Cloud for predictive analytics, Smart Predict, forecasting, and influencer analysis.
Functional AI use cases across Finance, Supply Chain, HR, Procurement, and Sales are covered extensively, along with Intelligent Document Processing and AI-powered integration using SAP Integration Suite and Event Mesh. The course concludes with governance, ethics, and responsible AI frameworks, ensuring secure and compliant AI adoption
By the end of the masterclass, you will be able to architect, build, integrate, and govern AI-powered solutions within SAP environments.