SAP C_AIG_2412 Exam Details & Actual Exam Questions
- Exam Code/Number: C_AIG_2412
- Exam Name/Title: SAP Certified Associate - SAP Generative AI Developer
- Certification Provider: SAP
- Corresponding Certification: SAP Certified Associate
- Exam Questions: 66
- Updated On: Sep,03 2026
- Certification Level: Associate
SAP Certified Associate - SAP Generative AI Developer Exam Questions
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(38 Up Votes)SAP C_AIG_2412 Exam Overview:
| Certification Vendor: | SAP |
|---|---|
| Exam Name: | SAP Certified Associate - SAP Generative AI Developer |
| Exam Number: | C_AIG_2412 |
| Certificate Validity Period: | 12 months |
| Available Languages: | English |
| Exam Duration: | 180 minutes |
| Exam Price: | Varies by region (typically around USD 200–400 or included in SAP Learning Hub subscription) |
| Passing Score: | 65% |
| Real Exam Qty: | Approximately 80 questions |
| Related Certifications: | SAP Certified Associate - SAP Cloud Application Development SAP Certified Associate - SAP BTP Developer SAP Certified Associate - SAP AI Core |
| Exam Format: | Multiple Choice, Multiple Response |
| Recommended Training: | SAP BTP and AI Core Training SAP Learning Hub - Generative AI Learning Journeys |
| Exam Registration: | SAP Certification Portal |
| Sample Questions: | SAP C_AIG_2412 Sample Questions |
| Exam Way: | Online proctored exam via SAP Certification platform |
| Pre Condition: | Basic understanding of SAP BTP and general AI/ML concepts is recommended; prior development experience is helpful but not strictly required. |
| Official Syllabus URL: | https://learning.sap.com/certifications |
SAP C_AIG_2412 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Generative AI Fundamentals | - Large Language Models (LLMs) concepts - Prompt engineering principles - AI use cases in enterprise environments |
| Topic 2: Responsible AI and Governance | - Security and compliance considerations - Ethical AI principles |
| Topic 3: Monitoring and Optimization | - Model performance evaluation - Operational monitoring in SAP environments |
| Topic 4: Generative AI Development | - Building AI-driven applications on SAP - Data preparation and grounding techniques - Using APIs and AI services |
| Topic 5: SAP Business Technology Platform (BTP) for AI | - SAP AI Core and AI Launchpad overview - Model deployment and lifecycle management - Integration of AI services within SAP BTP |
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