The syllabus follows the MLA-C02 exam domains, with the most time spent on the heaviest-weighted areas and your weakest topics.
Modeling36% of exam
Data Preparation for ML28% of exam
ML model development26% of exam
Data Engineering24% of exam
ML Solution Monitoring, Maintenance, and Security24% of exam
ML Implementation & Operations22% of exam
Deployment and Orchestration of ML Workflows22% of exam
Exploratory Data Analysis18% of exam
data preparation
deployment and orchestration
monitoring, maintenance, and security
generative AI, agentic AI, and LLMOps
responsible AI
Domain weights come from the published exam outline used in PrepKloud projects. We recheck the latest official AWS objectives with you in the first session.