Assessment Guidelines

Overview

Your final assessment consists of two complementary mini-projects that demonstrate your mastery of machine learning engineering principles across different domains. Both projects emphasize the transition from exploratory data science to production-ready ML systems, showcasing your ability to build structured, maintainable, and well-documented machine learning solutions.

Core competencies

Your work will be assessed based on three fundamental competencies that align with the official program objectives:

• [BC02] Communicate effectively about data engineering concepts and solutions
• [BC04] Design and implement scalable database solutions using both relational and other paradigms
• [BC07] Create and maintain robust data pipelines for ETL processes while applying best practices in data governance, security, and environmental consideration

Read carefully the expectations for these different competencies.