This course is designed to give IT professionals, developers, consultants, data engineers/scientists, business analysts, and technical stakeholders a strong foundation in building, deploying, and managing generative AI solutions within the SAP ecosystem. It combines theory, hands-on labs, use-cases, tools, and exam preparation for the SAP C_AIG certification.

Topic / Domain                                                                       Approx. Weightage (%)

SAP AI Core                                                                                        11-20%

SAP Generative AI Hub                                                                     31-40%

Large Language Models (LLMs)                                                      21-30%

Advanced AI Techniques with SAP's Generative AI Hub              21-30%

Here are the typical modules / topics:

1. AI & Generative AI Fundamentals
   Understanding what AI is, how it has evolved; differences between traditional machine learning and generative AI; what are Large Language Models (LLMs), prompt engineering, embeddings, etc.

2. SAP’s AI & Business AI Portfolio
   Overview of SAP AI tools & platforms like SAP AI Core, SAP AI Foundation, Generative AI Hub, AI Launchpad, Joule, etc. How SAP integrates AI into its product suite and business solutions.

3. Model Deployment, Configuration & Lifecycle in SAP
   How to configure, deploy, and manage AI models (e.g. LLMs) in SAP AI Core, using SAP AI Launchpad, and using AI orchestration tools. Concepts of deployment, versioning, scaling, monitoring.

4. Prompt Engineering and Use of Generative AI Hub
   Crafting effective prompts; few-shot prompting; using the Generative AI Hub; applying embeddings / vector search (like SAP HANA Vectors) to give models domain context; ensuring high relevance and minimizing hallucinations.

5. Ethics, Security, Governance & Responsible AI
   Understanding risks (bias, data privacy, security); how to govern AI solutions in enterprise; ensuring compliance and responsible use of generative AI.

6. Business Use-Cases & Practical Implementation
   Real-world case studies; building AI-powered applications in SAP (e.g. chatbots, document processing, RAG, knowledge-graph integration, etc.); hands-on labs to use tools, write prompts, test models, integrate into SAP Business Technology Platform (BTP) or SAP S/4HANA.

7. Certification Exam Preparation (for C_AIG)
   Reviewing topics expected in the exam; taking practice tests; exam tips; ensuring readiness for the format, knowledge areas, etc.