C1000-206 Exam Information and Outline
IBM Artificial Intelligence Fundamentals v1 - Associate
Syllabus Update Checked on: November 4, 2026
C1000-206 Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the
official C1000-206 exam objectives. This course outline serves as your roadmap.
The information below reflects the 2026 syllabus defined by
IBM.
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
- Proctored exam; approx. 60 questions; 90 minutes
- AI Concepts and History
- Definitions and milestones
- Machine Learning and Deep Learning
- Learning types and neural networks
- Natural Language Processing and Generative AI
- LLMs and use cases
- AI Lifecycle and Data
- Data preparation and model lifecycle
- Responsible AI and Ethics
- Fairness, transparency, accountability
- IBM watsonx Overview
- Watsonx.ai, watsonx.data, watsonx.governance