SAP C_AIG_2412: Generative AI Developer Exam Prep

This course contains the use of artificial intelligence.

SAP C_AIG_2412 (SAP Certified Associate - Generative AI Developer) validates hands-on ability to build generative AI applications on SAP BTP using Generative AI Hub, the Orchestration Service, and the SAP Cloud SDK for AI. This course, created by Aseem Mankotia, provides exam-focused preparation organized around SAP's six official blueprint domains, with weight bands sourced from SAP's published guidance - always confirm the current blueprint, question count, and fee on SAP's official certification page before scheduling.

Because the real exam is delivered as a System-Based Assessment - a live, hands-on, in-system task activity rather than a traditional multiple-choice test - every chapter pairs concept review with a console or SDK walkthrough: deploying a foundation model in Generative AI Hub and AI Launchpad, assembling an Orchestration Service pipeline with templating, content filtering, data masking, and grounding modules, registering and versioning prompt templates, calling the SAP Cloud SDK for AI from Python and JavaScript/TypeScript, and standing up a retrieval-augmented generation flow against the SAP HANA Cloud vector engine. A minimum score of 76% is required for certification, and the final chapter runs a full exam simulation with SyBA-style, time-boxed tasks plus a time-management strategy.

This is independent, practitioner-built preparation for the SAP ecosystem - BTP developers, consultants, and SAP partners - not official SAP courseware. Aseem Mankotia walks through the actual decisions the exam tests: Orchestration Service versus direct model calls, prompt registry templates versus inline prompts, document grounding versus fine-tuning, and where content filtering and data masking belong in a pipeline. Each domain chapter closes with exam-style practice questions modeled on real task scenarios so you can rehearse the reasoning the in-system assessment requires.

AI content disclosure: This course was produced with the assistance of artificial intelligence tools. Lecture narration is AI-voice generated, and lecture scripts, slides, and practice questions were drafted with AI assistance, then reviewed and curated by the instructor for technical accuracy and alignment with the official C_AIG_2412 exam guide.