February 17, 2026 | Quebec

Understanding the Principles Behind Artificial Intelligence Models

Machine learning and deep learning are key components of many artificial intelligence solutions. These approaches enable systems to identify patterns, make predictions, and classify information based on data.

In the Artificial Intelligence Specialist – LEA.E3 program at CDI College, these concepts are taught from an applied perspective, enabling students to understand how models function and their practical applications in professional contexts.

Machine Learning: Analyzing and Predicting from Data

Machine learning focuses on models that learn from existing data. Within the program, students work with different types of models that support applied data analysis. They develop the ability to:

• understand supervised and unsupervised learning principles;
• work with regression and classification models;
• apply clustering and segmentation techniques;
• evaluate model performance using appropriate metrics.

These skills support artificial intelligence projects that rely on analysis and prediction.

Deep Learning: An Introduction to Neural Networks

Deep learning relies on artificial neural networks capable of processing large volumes of data. The program introduces these concepts progressively, emphasizing understanding rather than advanced research. Students are introduced to:

• the structure and operation of neural networks;
• different types of networks used in artificial intelligence;
• typical applications such as pattern recognition and text analysis;
• the guided use of existing models in applied contexts.

This approach places deep learning within the broader artificial intelligence ecosystem.

Using Models in a Structured and Responsible Way

The program emphasizes the structured and responsible use of machine learning and deep learning models. Students learn to consider data quality, model limitations, and the interpretation of results. They are also introduced to:

• model validation;
• solution maintenance and updates;
• technical documentation;
• ethical considerations related to artificial intelligence use.

These elements are essential for integrating AI models reliably into organizational projects.

Skills That Support Artificial Intelligence Projects

The machine learning and deep learning skills developed in the Artificial Intelligence Specialist – LEA.E3 program at CDI College enable graduates to effectively support artificial intelligence and business intelligence projects.

These skills are applied in contexts that require analysis, prediction, and decision support, in collaboration with multidisciplinary teams.

👉 Learn more about the Artificial Intelligence Specialist – LEA.E3 program

FAQ

1. What is the difference between machine learning and deep learning?
Machine learning encompasses methods that enable systems to learn from data, whereas deep learning utilizes neural networks to process more complex information.

2. Does the program focus on advanced research-level model development?
The program teaches these concepts in a structured and applied way, enabling students to understand how models work and use them in practical professional settings.

3. Why are these skills necessary in artificial intelligence?
Because they help generate predictions, classify information, and support decision-making using recognized AI methods.