SAP AI Masterclass

Overview

A senior-level masterclass for consultants and architects designing the next decade of SAP. Covers the broader SAP AI stack , automation, Joule, agentic AI, and…

What you will learn

  • Build an SAP Business AI foundation: Understand the ecosystem and design AI use cases with measurable value.
  • Set up SAP AI Core and Launchpad: Manage model lifecycle, deployment, monitoring, and governance.
  • Use Generative AI Hub securely: Apply LLM orchestration, prompt engineering, and cost controls.
  • Create Joule skills and agents: Build assistants and autonomous process experiences.
  • Build grounded RAG solutions: Use HANA Cloud Vector Engine for enterprise context.
  • Apply Document AI and analytics: Use intelligent documents and SAP Analytics Cloud for decisions.
  • Govern enterprise AI: Design responsible AI, compliance, security, and control patterns.
  • Deliver a C_AIG-aligned capstone: Present a production-oriented SAP Business AI implementation.

Who this course is for

  • SAP Developers: Build intelligent CAP, ABAP, and BTP extensions.
  • Solution Architects: Design future-proof AI-driven SAP landscapes.
  • Functional Consultants: Activate embedded AI for finance, HR, SCM, and procurement.
  • Data and ML Engineers: Adapt model and data skills to SAP Business AI.
  • SAP Analytics Consultants: Apply AI to analytics, planning, and business insight.
  • Enterprise Architects: Shape governed, scalable AI adoption across SAP.

Prerequisites

  • Basic SAP ecosystem understanding
  • Familiarity with enterprise business processes
  • Basic cloud or API concepts

Curriculum

  1. SAP Business AI Foundations

    • Introduction to AI in the enterprise
    • SAP Business AI strategy and roadmap
    • SAP BTP overview and architecture
    • SAP AI Core and AI Launchpad
    • Responsible AI principles
    • Enterprise AI governance framework

    Hands-on:

    • Setup and SAP BTP trial account
    • Configure SAP AI Launchpad
    • Navigate AI Core services
    • Responsible AI assessment exercise

  2. SAP AI Core - Build & Deploy

    • SAP AI Core architecture and concepts
    • Workflow and pipeline design
    • Model lifecycle management
    • AI deployments and serving
    • Monitoring and AI operations

    Hands-on:

    • Configure SAP AI Core resources
    • Train custom ML models
    • Deploy AI endpoints
    • Monitor AI performance metrics

  3. Generative AI Hub & Prompt Engineering

    • Introduction to Generative AI in SAP
    • SAP Generative AI Hub architecture
    • Prompt Engineering Techniques
    • LLM Orchestration & Model Management
    • Content Safety, Governance & Enterprise AI Controls

    Hands-on:

    • Access & Navigate Generative AI Hub
    • Hands-On Prompt Engineering Workshop
    • Build a Prompt Template Library
    • Configure LLM Access Policies & Cost Controls

  4. SAP Build Code & Joule AI Copilot

    • SAP Build Code Overview
    • AI-Assisted Development Workflows
    • Extending SAP Applications with Joule
    • Build using RAP (ABAP RESTful Application Programming Model)
    • Configure and Deploy Joule Agents
    • SAP Build Code Extensions

    Hands-on:

    • Build AI-Powered CAP Applications
    • Build SAP Build Apps with AI
    • Build Process Automation with AI
    • Build WorkZone with AI Integration

  5. Document Intelligence & Computer Vision AI

    • Document Information Extraction Service
    • End-to-End Workflow Automation

    Hands-on:

    • Extract Invoice Data with DIE

  6. AI-Powered Analytics with SAP Analytics Cloud

    • Smart Predict & Automated ML
    • Smart Discovery & Influencer Analysis
    • AI Dashboards & Natural Language Analytics

    Hands-on:

    • Sales Forecasting with Smart Predict
    • Build Predictive Planning Models
    • SAC Natural Language Querying Lab

  7. AI Agents, RAG & Intelligent Automation

    • AI Agent Fundamentals & Design Patterns
    • SAP Knowledge Graph & Semantic AI Layer
    • SAP Intelligent RPA Integration

    Hands-on:

    • Build a RAG Application with HANA Vector

  8. Capstone — Enterprise AI Implementation

    • AI Project Lifecycle & Governance
    • Enterprise AI Architecture Design
    • AI Solution Blueprinting
    • Business Case Development & ROI Analysis
    • Demo Day & Peer Review

    Hands-on:

    • Design End-to-End AI Architecture
    • Build Functional AI Prototype
    • Present Business Value Justification
    • Peer Review & Instructor Feedback

  9. Joule Work: AI Assistant & Agent Workbench

    • Billing Data Product with Joule Studio
    • Create an AI Assistant for Sales Reps
    • Create an Assistant for Equipment Troubleshooting
    • Create an Assistant to Monitor Supplier Risk
    • Create an FI Collection Email Drafting Assistant
    • Use Joule Studio to Create an FI Collection Workbench
    • Use Joule Studio to Create an HR Onboarding Assistant
    • Use Joule Studio to Create an IT Incident Triage and Auto Routing Agent with N8N, SAP Task Center Node and SAP Agent Node
    • Use Joule Studio to Extend the AP Invoice Agent using Agent Extensions

Technology stack

  • SAP AI Core and SAP AI Launchpad
  • Generative AI Hub, LLM orchestration and prompt engineering
  • Joule, Joule Studio, skills and AI agents
  • SAP HANA Cloud Vector Engine and RAG
  • SAP Build Code, CAP and intelligent automation
  • SAP Document AI and SAP Analytics Cloud
  • AI governance, responsible AI, compliance and security

Instructor

SAP AI and enterprise transformation trainer focused on practical generative AI use cases, responsible adoption, and consultant-ready workflows across the SAP landscape.

  • Experienced in designing enterprise AI solutions for SAP landscapes
  • Strong expertise in SAP AI Core, Joule and Generative AI Hub
  • Works with RAG, AI Agents, LLMs and intelligent automation
  • Connects AI capabilities with SAP applications and business processes
  • Covers architecture, implementation and real-world use cases
  • Focused on building job-ready and project-ready SAP AI skills

Course fee

$999 $699

What's included

  • Live cohort + recordings: Attend every session live and revisit the recordings for one year.
  • Real lab environment: Practise on a hands-on environment that mirrors real projects.
  • Live doubt-clearing support: Ask questions and get answers in real time during every session.
  • Assessments and lab activities: Apply what you learn through graded assessments and guided labs.
  • Learning assets: Keep the slides, notes, and reference material for good.
  • Role-readiness guidance: Mentor guidance to get you ready for the role you are targeting.
  • Verifiable certificate: Earn a shareable certificate on completing the hands-on capstone.
  • Global peer community: Learn with a global cohort and stay connected after the program.

Frequently asked questions

Who is this masterclass for ?

Senior SAP consultants, architects, and functional leads who want a strategic view of SAP's AI stack , Joule, Foundation, Build, Generative AI Hub , and how to lead AI-enabled programmes for their clients.

Is a working SAP AI Foundation tenant provided?

Yes , cohort members get scoped access to a shared BTP + AI Foundation tenant during the programme, enough to complete every lab. Enterprise learners can bring their own tenants and we support that.

Do you cover SAP Agentic AI?

Absolutely , an entire module is dedicated to Joule agents, multi-step reasoning, and agent orchestration patterns across SAP and non-SAP systems.

Will I be job-ready after this programme?

The Masterclass is designed for practitioners who are already SAP-fluent. You'll leave with an AI programme playbook you can drive at your current employer or client engagement , not a from-zero job track.

What are the prerequisites?

You should have a basic understanding of the SAP ecosystem, familiarity with enterprise business processes, and basic cloud or API concepts.

How long is the program and how is it delivered?

It is a 40-hour live, advanced mentorship program that runs over 7 weeks and simulates real SAP Business AI implementation projects.

Which modules are included in the curriculum?

The curriculum includes 9 modules: - SAP Business AI Foundations - SAP AI Core: Build and Deploy - Generative AI Hub and Prompt Engineering - SAP Build Code and Joule AI Copilot - Document Intelligence and Computer Vision AI - AI-Powered Analytics with SAP Analytics Cloud - AI Agents, RAG and Intelligent Automation - Capstone: Enterprise AI Implementation - Joule Work: AI Assistant and Agent Workbench You can download the full curriculum from this page.

Does the course cover SAP AI Core and Generative AI Hub?

Yes. You configure SAP AI Core resources, train custom ML models, deploy AI endpoints, and monitor performance. In Generative AI Hub, you complete a prompt engineering workshop, build a prompt template library, and configure LLM access policies and cost controls.

Will I build a RAG solution?

Yes. You build a RAG application using SAP HANA Cloud Vector Engine to ground AI responses in enterprise context.

Does the course cover Document AI and SAP Analytics Cloud?

Yes. You extract invoice data with Document Information Extraction, and in SAP Analytics Cloud you work on sales forecasting with Smart Predict, predictive planning models, and natural language querying.

What do I build in the capstone, and is it linked to SAP certification?

You design an end-to-end AI architecture, build a functional AI prototype, present the business value justification, and receive peer review and instructor feedback. The capstone is aligned to the C_AIG certification topic area, but the program does not include an SAP certification exam. Check SAP Learning for current exam details.