By the end of this course, you'll possess the complete skill set to architect, develop, and deploy sophisticated AI solutions that bridge data science innovation with enterprise operations — transforming business processes through intelligent automation and generative AI.

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Description

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SAP AI Core is a powerful, scalable runtime environment on SAP Business Technology Platform (BTP) designed to operationalize and manage AI and machine learning models at enterprise scale. It enables data scientists and developers to deploy, monitor, and govern AI workloads using standard open-source tools while integrating seamlessly with SAP and non-SAP systems.
SAP AI Launchpad serves as the unified interface to manage and orchestrate these AI assets, offering visibility into deployed models, inference pipelines, and performance metrics. With a user-friendly UI and role-based access, it facilitates collaboration between IT, business, and data teams.
Together, SAP AI Core and AI Launchpad form the backbone for building intelligent, AI-driven business processes across the SAP ecosystem — from automating document processing and natural language understanding to implementing advanced Retrieval-Augmented Generation (RAG) systems, agentic AI workflows, and knowledge graph-powered applications that transform how enterprises leverage generative AI.

 

Key points about SAP Build and citizen developers:​

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• ​Python Foundation to Advanced Development: Master Python programming from basics through advanced topics including pandas, database connectivity, UI development with Streamlit, and building reusable modules for enterprise applications.

• Machine Learning and NLP Implementation: Build classification and regression models, understand neural networks, implement natural language processing with tokenization, embeddings, TF-IDF calculations, and cosine similarity for intelligent text analysis.

• LangChain, LangGraph, and Agentic AI Architecture: Learn to build sophisticated AI agents using LangChain's framework, implement stateful chatbots with memory, create custom tools, design multi-agent workflows with LangGraph, and understand the difference between GenAI, AI Agents, and Agentic AI systems.

• RAG (Retrieval-Augmented Generation) with HANA Vector Engine: Implement advanced RAG systems that overcome LLM limitations by combining language models with custom knowledge bases stored in HANA Cloud's vector engine, enabling context-aware responses from proprietary enterprise data.

• SAP AI Core and AI Launchpad Mastery: Deploy and manage AI models using SAP's Gen AI Hub, create scenarios with foundation models (GPT, Claude), monitor with LangSmith traceability, and build production-grade microservices that integrate with SAP Business Application Studio and SAP Build Apps.

• Knowledge Graphs and Multi-Modal AI: Work with HANA Cloud Knowledge Graph Engine (KGE), understand RDF triples and SPARQL queries, implement graph-based RAG scenarios, and process image and audio content using open-source models like Llama.

• Enterprise Integration and Orchestration: Integrate AI capabilities with SAP S/4HANA through OData APIs, implement SAP's orchestration service for content filtering, data masking and grounding, build CAP applications with LLM plugins, and create field agent bots that execute business transactions.

• End-to-End Deployment and Governance: Package applications using MTA (Multi-Target Applications), deploy to Cloud Foundry on BTP, implement security with app routers and destinations, manage environment variables, and establish governance frameworks for AI operations.​

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By the end of this course, you’ll have​

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• Architect and develop complete AI solutions from scratch using Python, including data processing, ML modeling, NLP implementation, and modern generative AI applications

• Build production-ready RAG systems that connect LLMs with enterprise knowledge bases using HANA Vector Engine and CAP LLM plugins for context-aware AI responses

• Create intelligent AI agents using LangChain and LangGraph that can reason, use tools, maintain conversation history, and execute complex multi-step workflows autonomously

• Deploy and manage AI workloads on SAP BTP using AI Core and AI Launchpad, including model deployment, monitoring, governance, and integration with foundation models (GPT, Claude, etc.)

• Implement knowledge graph solutions using HANA Cloud KGE with RDF triples and SPARQL queries to power advanced reasoning and relationship-based AI applications

• Integrate AI with SAP business processes by connecting AI services to S/4HANA via OData APIs, building Fiori applications, and implementing field agent bots for transaction automation

• Apply orchestration services for enterprise-grade AI governance including content filtering, data masking, grounding, and augmented analytics

• Deliver scalable, secure AI innovation within a clean-core architecture using modern DevOps practices, MTA deployments, and proper security configurations on SAP BTP

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Why learn and get certified in SAP BTP Gen AI ?

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SAP AI Core is a powerful, scalable runtime environment on SAP Business Technology Platform (BTP) designed to operationalize and manage AI and machine learning models at enterprise scale. It enables data scientists and developers to deploy, monitor, and govern AI workloads using standard open-source tools while integrating seamlessly with SAP and non-SAP systems.
SAP AI Launchpad serves as the unified interface to manage and orchestrate these AI assets, offering visibility into deployed models, inference pipelines, and performance metrics. With a user-friendly UI and role-based access, it facilitates collaboration between IT, business, and data teams.
Together, SAP AI Core and AI Launchpad form the backbone for building intelligent, AI-driven business processes across the SAP ecosystem — from automating document processing and natural language understanding to implementing advanced Retrieval-Augmented Generation (RAG) systems, agentic AI workflows, and knowledge graph-powered applications that transform how enterprises leverage generative AI.

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Pre-requisites​

Basic understanding of SAP, Strong programming knowledge on any technology, good idea of data structures, Depth understanding of web architecture and services, Complete knowledge of SAP BTP development process with CAPM, knowledge on git and git hub, working with cloud foundry environment.

Note: You must learn SAP BTP CAP training from us first before opting for this course.

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Course Highlights​

• 40 Hours of Detailed Lecture with Videos

• Get access to over 20 real-time case studies projects and use cases

• Support for issues and deployment

• Presentation and Whiteboards

• End to end BTP Basics and AI/ML terminology

• Best-in-class cutting edge content with Python basics included

• Latest concepts on Business Technology Platform AI Core, AI Launchpad, LLM Models

• Integrating your use case with Fiori, S/4HANA, BTP Based applications and more

• Building chatbots for your customers integrating with GenAI from open source and SAP BTP

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Who should attend this Training?

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If you are aspiring to be one of the following, then this training is for you!

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• SAP Consultants

• Functional Consultants

• ABAP Developers

• Application Developers

• Business Users exploring AI in SAP

• Anyone eager to leverage AI/ML with SAP S/4HANA or BTP solutions

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How effective is this video mode training?​​

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Our video mode training is highly effective as it provides a fully interactive virtual environment where all the trainees receive complete course materials in PDF format, along with reference documents and course code for hands-on practice. These pre-recorded videos have answers of most of the questions you can think of and it does help you step by step process to learn cutting edge AI topics on SAP BTP.

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