Credential type: certification examination · verified on the issuer's site September 20, 2026 issuer page

1 ML Problem Framing and Data Understanding Weight not published

2 Core Algorithms: Regression, Classification, Clustering, Dimensionality Reduction Weight not published

3 Model Training, Validation, and Selection Weight not published

4 Feature Engineering, Pipelines, and Deployment Basics Weight not published

Question TypesMultiple Choice, Project-based Assessment

FormatTraining + exam or direct exam; some tracks emphasize hands-on projects and portfolios

Online ProctoringAvailable

ID RequirementsValid ID for proctored exams; IABAC portal account.

RenewalRequired -- Renewal every 3 years via CPD, re-examination, or approved activities per IABAC guidelines.

Retake PolicyRetake policies are defined per program/exam; ATPs often provide discounted retakes after additional training.

LanguagesEnglish

Certified Machine Learning Associate (CMLA) (AI3020) Exam Blueprint