The blueprint: four domains, one pipeline

Lesson 2 of 4 in The MLA Exam: Blueprint, Logistics, Strategy.

The blueprint reads like bureaucracy — four "content domains", twelve "task statements" — until you notice it is just one ML pipeline read left to right. Data gets collected and prepared (Domain 1), a model gets chosen, trained, and evaluated (Domain 2), it ships behind infrastructure and pipelines (Domain 3), and then someone has to keep it healthy, affordable, and secure (Domain 4). Every exam question is a station somewhere on that track.

The MLA-C02 content domains, their weights, and where this line teaches them — every task statement links to its full wording in the official guide
DomainWeightTask statementsYour stations

1 · Data Preparation for ML and AI

28%

1.1 Collect and store data · 1.2 Perform data transformation, feature engineering, and pre-processing · 1.3 Validate data quality and manage bias

Prepare the data — four modules

2 · ML Model and FM Development

24%

2.1 Choose appropriate modeling approaches · 2.2 Train, fine-tune, and customize models · 2.3 Analyze and evaluate performance

Build the model — four modules

3 · Deployment & Orchestration

24%

3.1 Manage deployment infrastructure · 3.2 Provision and configure resources · 3.3 Implement automated orchestration and CI/CD pipelines

Ship it — four modules

4 · Operate, Monitor, Secure

24%

4.1 Monitor model inference and performance · 4.2 Optimize and manage infrastructure costs and performance · 4.3 Secure workloads and model endpoints

Run it in production — three modules

Interactive checkpoint quiz (2 questions) — open this page in a browser to take it.