Master SAP Agentic AI
From Platform Concepts to Deployed Agents.
Go deep on SAP's Autonomous Enterprise platform — Joule Studio, SAP Cloud SDK for AI, RAG with SAP HANA Cloud Vector Engine, MCP and A2A protocols, multi-agent orchestration, domain-specific Joule Agents, and enterprise governance. Trained the way a practitioner actually builds and ships agents, ending in a portfolio-ready capstone.
What you will know and do after this course
Practical, measurable capabilities verified through live platform work — not theoretical knowledge you'll forget.
Built for practitioners advancing into enterprise AI
This is a practitioner-level program, not a first-ever tech course. It's built for people who already have some grounding — in SAP, in development, or in enterprise systems — and want to move into one of the fastest-evolving areas in the ecosystem. The low-code track (Joule Studio) is accessible without programming; the pro-code track from Module 7 onward uses Python.
16 modules — agentic AI fundamentals to capstone project
Each module: concept overview, hands-on assignments on the GIM Corp case study, and real interview guidance built in from the start.
Freshers to the field often confuse "chatbot" with "agent." This module builds clear vocabulary and mental models before any technical work begins.
- Agentic AI vs Generative AI vs Conversational AI
- The Observe → Reason → Act → Reflect loop
- Why enterprise AI gets "stuck in pilot mode"
- SAP's three-layer architecture: Context, Build, Governance
- Joule's evolution from copilot (2023) to agentic platform (2026)
- Key stats: 40+ agents, 2,500+ Skills, 35+ embedded solutions
- Joule Skill vs Joule Agent vs Joule Assistant
- Business impact: reducing multi-step workflows by up to 75%
Every agent-building decision maps back to one of three layers. This module prevents costly architectural mistakes made by jumping straight to building.
- Three-layer architecture: Context, Build, Governance
- Context Layer: Generative AI Hub, Knowledge Graph, Business Data Cloud, SAP-ABAP-1/RPT-1
- Build Layer: Joule Studio, SAP Cloud SDK for AI, SAP CAP
- Governance Layer: SAP AI Agent Hub (on LeanIX)
- SAP AI Core as the runtime
- SAP AI Launchpad as the management interface
- How each layer supports agents
- Token-based pricing and AI Units
Foundation model selection directly affects agent accuracy, cost, and latency — this module builds the judgment to choose the right model for the job.
- Generative AI Hub: multi-model access, token metering
- Supported models: GPT series, Gemini Pro, Claude Opus/Sonnet, SAP-ABAP-1, SAP-RPT-1
- Prompt Registry: storing, versioning, reusing templates
- Orchestration service: grounding, templating, masking, filtering
- Embedding models and vector search
- SAP-ABAP-1: trained on 250M lines of ABAP code
- SAP-RPT-1: relational foundation model for tabular data
- Selecting the right model: capability vs cost
- Prompt optimization and metadata filtering
Without grounding, an agent will hallucinate generic answers. Grounding is what makes agents enterprise-reliable rather than just impressive in demos.
- SAP Knowledge Graph: entities, relationships, domain models
- Why ungrounded LLM responses fail in enterprise contexts
- Retrieval-Augmented Generation (RAG): concept and workflow
- Vector embeddings and SAP HANA Cloud Vector Engine
- Document grounding: chunking, vectorization, retrieval
- Hybrid RAG: vector search + Knowledge Graph
- Grounding vs fine-tuning
- Document grounding in the Orchestration service
Many people conflate skills and agents. This module builds the precise vocabulary and conceptual model needed to design, discuss, and build agents correctly.
- Joule Skill: rule-based, single-task capability
- Joule Agent: planning and reasoning orchestrator
- Joule Assistant: role-aware coordinator
- The Skill Library: 2,500+ reusable skills
- Agent anatomy: instructions, tools, reasoning loop, memory
- Planning strategies: ReAct, plan-and-execute, chain-of-thought
- Short-term vs long-term memory via SAP HANA Cloud
- Tool calling: selecting and invoking the right tool
- Joule's role as central orchestrator
Joule Studio is the fastest path from idea to production agent — ideal for business analysts, citizen developers, and professional developers alike.
- Joule Studio environment and access (part of SAP Build)
- Agent Builder: instructions, tools, data sources, triggers, escalation
- Skill Builder and Action Projects
- BTP Destination configuration
- Deploying agents: automatic scenario/dialog generation
- Testing agents within Joule Studio
- Joule Studio CLI and VS Code Extension
- Reusing the 2,500+ Skill Library
Pro-code development unlocks capabilities impossible in low-code — complex conditional logic, framework-specific reasoning, and bespoke integrations.
- SAP Cloud SDK for AI: Python, TypeScript, Java
- SAP CAP for agent backend logic
- Frameworks: LangGraph, AG2/AutoGen, CrewAI, Smolagents, Pydantic AI
- LangGraph StateGraph: nodes, edges, shared state
- Connecting to Generative AI Hub via SAP Cloud SDK
- Tool definition and MCP adapters
- Building a FastAPI or CAP-based agent backend
- Deploying on BTP Cloud Foundry or Kyma
- Principal propagation
MCP is already the industry standard for tool connectivity, with 18,000+ community-indexed servers — non-optional knowledge for any practitioner in 2026.
- MCP purpose: standardized tool discovery and invocation
- MCP server and client roles
- Streamable HTTP transport
- Tool definition: name, description, input/output schema
- MCP Gateway in SAP Integration Suite
- Agents as MCP clients: dynamic tool registration
- Internal vs external MCP exposure
- SAP Knowledge Graph as an MCP-accessible source
- MCP vs A2A
Real enterprise AI involves dozens of specialized agents across teams and vendors. A2A lets these agents collaborate without tight coupling.
- A2A purpose: cross-boundary delegation
- Core concepts: Agent Card, Task lifecycle, Message/Send
- A2A client vs A2A server
- "Bring Your Own Agent" (BYOA) pattern
- Agent Gateway (SAP's future bidirectional gateway)
- Synchronous vs asynchronous A2A communication
- Multi-turn conversation via context/task IDs
- A2A vs A2A + MCP combination
- Third-party interoperability: Vertex AI, Copilot Studio, Bedrock
Single-agent systems can't scale to enterprise complexity. This is where the real enterprise value — and most architectural challenges — live.
- Orchestrator vs worker agent patterns
- Task decomposition into delegatable sub-tasks
- Sequential, parallel, and conditional workflows
- The tool overload problem and specialization
- State handoff between agents
- LangGraph supervisor + specialist pattern
- Real example: payment dispute resolution across agents
- Joule Assistant as built-in orchestration
- Long-running workflows: async execution, webhooks
Business stakeholders in client meetings will ask about specific agents relevant to their function — detailed knowledge here is a strong differentiator.
- Dispute Resolution Agent (Finance)
- Cash Management Agent — up to 70% manual reconciliation time saved
- Accounts Receivable Agent
- Production Planning and Operations Agent (SCM)
- Order Reliability Agent
- Project Setup Agent
- Bid Analysis Agent (Procurement)
- Role-based HR assistants
Governance is consistently the top concern of enterprise IT buyers — and the most overlooked topic by technically-focused practitioners.
- AI Agent Hub architecture (built on SAP LeanIX)
- Agent discovery and cataloging
- Verification and policy management
- Observability: tokens, latency, error rates, KPI dashboards
- Lifecycle management: versioning, rollback
- Standardized schema validation
- Integration with Signavio, LeanIX, Cloud ALM
- Role-based access controls
- Audit trails for compliance
Enterprise buyers and compliance teams will always ask about trust, accuracy, and data protection — this module builds fluency in that conversation.
- SAP's Responsible AI principles
- Data masking and input/output filtering
- Confidence thresholds for decision actions
- Citation and source attribution
- "80% accuracy isn't sufficient" — SAP's standard
- Human-in-the-loop design
- Failure modes: hallucination, tool misuse, runaway loops
- Data sovereignty and model routing
- GDPR and data residency considerations
An agent that cannot reliably read and write enterprise data is useless in production — integration is where most real projects face their biggest challenges.
- OData and REST APIs
- SAP Integration Suite as middleware
- BTP Destinations configuration
- Principal propagation
- Connecting to S/4HANA: FI, MM, SD, HR
- Connecting to SAP SuccessFactors
- Zero-copy integration: Business Data Cloud with Athena/Fabric
- MCP Gateway for governed API exposure
- Third-party integration via A2A
Technical excellence means nothing if business users can't interact with the agent effectively. UX design for agents differentiates strong practitioners.
- Joule Work replacing traditional app navigation
- Persona-based Joule Assistants
- Intent recognition and routing
- Designing responses: clarity, actionability, brevity
- Handling ambiguous user requests
- Streaming responses for long-running tasks
- User feedback loops and correction signals
- Deploying agents to Joule Work
Capstone module — the most important module for portfolio building. A working end-to-end agentic solution is the strongest possible proof of capability.
- End-to-end application of the full agentic architecture
- Independent problem definition and solution design
- Integration of RAG, low/pro-code, MCP/A2A, and governance
- Stakeholder-ready presentation of the solution
What learners say after finishing this course
This rating is specific to the SAP Agentic AI program above — not an average across Upskeeling's other courses. We show the breakdown as collected rather than just the headline number, because the detail tells you more than the average does.
The 5-star reviews consistently mention the same thing: building an actual agent in Joule Studio and watching it call real SAP APIs made the architecture click in a way slides never had. The 4-star group was happy overall but wanted more repetition time on the harder modules — the LangGraph pro-code module and MCP/A2A protocol module came up most. The 3-star reviews were the most useful to us internally: the recurring note was that the pro-code track assumes more programming comfort than expected going in. We've since added a short Python primer before Module 7 to bridge that gap.
Where this programme takes you
- SAP Agentic AI Trainee
- Junior SAP Business AI Consultant
- SAP BTP AI Developer (Associate)
- AI Solution Analyst
- SAP Agentic AI Consultant
- Joule Studio / Pro-Code Agent Developer
- SAP Business AI Platform Architect
- AI Center of Excellence Lead
Your trajectory over time
Entry Level
- SAP Agentic AI Trainee
- Junior SAP Business AI Consultant
- SAP BTP AI Developer (Associate)
- AI Solution Analyst
Mid Level
- SAP Agentic AI Consultant
- Joule Studio / Pro-Code Agent Developer
- SAP Business AI Platform Architect
- AI Center of Excellence Lead
Advanced
- Head of Enterprise AI
- SAP AI Practice Lead
- Freelance Agentic AI Architect
- Chief AI Transformation Advisor
What SAP Agentic AI practitioners earn globally
As one of SAP's newest and fastest-growing specialisations, Agentic AI skills command a significant premium over general functional or development roles.
We stay with you throughout your journey
During Training
- Live sessions on SAP's current Agentic AI platform
- Session recordings after every class
- Hands-on Joule Studio & BTP sandbox practice
- Detailed notes and study documents
- Curated reference material and cheat sheets
- Real-time business case simulations
- Interview guidance at each module
Post-Training
- 1 month additional sandbox access
- 1 year study material availability
- Job references provided
- Interview scheduling assistance
- Capstone project refinement support
- Post-course community knowledge base
Career Support
- Professional CV and resume review
- Mock interview sessions
- Career consultancy and role guidance
- Community access with peers
- Freelance and contract guidance
- Ongoing mentor availability
Already trained, or learning elsewhere? Rent a sandbox on its own.
For practitioners who already know the platform and just need Joule Studio and a BTP sandbox to keep building on, or learners following another course who want real hands-on access — without enrolling in the full program.
- Dedicated SAP BTP sandbox with Joule Studio access — not shared or queued
- Generative AI Hub token credits and mentor support included
- Practice low-code and pro-code agent building at your own pace
Corporate & Team Training
Programmes
Upskilling your entire SAP or development team on Agentic AI at once? We deliver bespoke corporate batches for IT firms, enterprises building internal AI Centers of Excellence, and organisations planning their Joule rollout — with custom schedules, dedicated trainers, and progress reporting.
- Custom batch scheduling — weekday, weekend, or blended
- Dedicated trainer assigned to your organisation
- Team progress dashboards and completion certificates
- Module customisation for your specific SAP landscape
- Volume pricing — significant discounts for teams of 5+
- Post-training support for governance rollout and capstone projects
What you need before starting
- The low-code track (Joule Studio) requires no programming background
- The pro-code track (Module 7 onward) uses Python — prior programming familiarity helps but isn't mandatory
- Basic familiarity with the SAP landscape is helpful, though not required
- A laptop or desktop with a stable internet connection
- Genuine interest in enterprise AI systems and willingness to build, not just watch
Questions before you enrol
Three ways to get your question answered
The Agentic AI practitioners hired next quarter
are enrolling right now.
Every week you wait is a week someone with the same background — but a deployed, governed agent in their portfolio — pulls ahead. One message. Zero commitment.