GAFM-ChAIP Exam Information and Outline
Chartered Artificial Intelligence Professional (ChAIP)
Syllabus Update Checked on: November 2, 2026
GAFM-ChAIP Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the
official GAFM-ChAIP 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 Fundamentals and History
- Symbolic AI to deep learning
- Narrow vs. general AI
- Machine Learning and Deep Learning
- Supervised, unsupervised, reinforcement learning
- Neural networks
- Natural Language Processing and Generative AI
- Transformers, LLMs and prompt engineering
- Computer Vision
- Image classification, detection and segmentation
- AI Strategy and Business Applications
- Use-case selection and ROI
- AI Project Lifecycle and MLOps
- Data pipelines, deployment and monitoring
- AI Ethics, Governance and Regulation
- Bias, explainability, EU AI Act and NIST AI RMF