GAFM-CAIP Exam Information and Outline
Certified AI Professional (CAIP)
Syllabus Update Checked on: October 30, 2026
GAFM-CAIP Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the
official GAFM-CAIP exam objectives. This course outline serves as your roadmap.
The information below reflects the 2026 syllabus defined by
GAFM.
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
- Exam Format
- Online multiple-choice certification examination following the GAFM Accredited Certification Training Program (ACTP)
- AI Foundations
- Definitions, history and types of AI
- Machine learning vs. deep learning
- Machine Learning
- Supervised, unsupervised and reinforcement learning
- Model training and evaluation
- Deep Learning and Neural Networks
- CNNs, RNNs and transformers
- Generative AI and NLP
- Large language models and prompt engineering
- Data for AI
- Data preparation, feature engineering and data quality
- AI in Business
- Use cases, strategy and implementation
- Responsible AI
- Ethics, bias, governance and regulation