C1000-185 Exam Information and Outline
IBM watsonx Generative AI Engineer v1 - Associate
Syllabus Update Checked on: November 4, 2026
C1000-185 Exam Syllabus & Study Guide
Before you start practicing with our exam simulator, it is essential to understand the
official C1000-185 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
- Generative AI Concepts and Foundation Models
- Model families and capabilities
- Prompt Engineering and Prompt Lab
- Zero/few-shot and parameters
- Retrieval-Augmented Generation
- Vector stores and grounding
- Model Tuning and Evaluation
- Prompt tuning and evaluation metrics
- watsonx.ai SDKs and APIs
- Python SDK and REST
- Deployment and AI Governance
- Deployment spaces and watsonx.governance