Model Components

Model Components (What makes up an AI solution). These are the core building blocks you’ll see in exam questions.

Data

The foundation of any AI model
Includes:
Training data
Validation/test data
Key idea: Poor-quality data leads to poor predictions

Model

The trained AI system that learns patterns
Examples (conceptual level):
Classification models
Regression models
Generative AI models (e.g. text/image generation)

Features

The inputs (variables) used by the model
Example: Customer age, transaction history

Labels (for supervised learning)

The target output the model learns to predict