February 18, 2026 | Quebec

Building Technical Skills to Work with Data Effectively

Artificial intelligence relies on models, as well as strong technical skills, including programming, data management, development environments, and practical tools. To contribute to AI projects, learners need to write code, structure information, automate tasks, and work with data systematically and rigorously.

The Artificial Intelligence Specialist – LEA.E3 program at CDI College develops these skills through structured training focused on programming, databases, and key tools used in professional environments.

Python: A Core Language for Data Processing and Analysis

Python plays a vital role in the program. Students learn to use it for data processing and analysis with widely used libraries. They develop the ability to:

• write code using functions, conditions, and loops;
• work with data using libraries such as Pandas and NumPy;
• import files and process external datasets;
• explore and visualize data using Matplotlib.

These skills support practical tasks in data science and applied artificial intelligence.

R: A Reference Tool for Statistical Analysis

Alongside Python, the program introduces R, a widely used language for statistical analysis. Students learn how to set up their work environment and use R to analyze datasets. Training includes:

• importing, cleaning, and transforming data;
• working with analysis libraries and functions;
• visualizing and exporting results;
• an introduction to R Markdown and Shiny R.

This strengthens analytical rigour and supports a clear interpretation of results.

Databases: SQL, NoSQL, and Structured Data Management

AI projects depend heavily on data quality. The program covers databases and structured practices that support reliable data storage and use. Students learn how to:

• build and query relational databases using SQL;
• understand the differences between SQL and NoSQL;
• apply best practices for coding and documentation;
• explore data security, optimization, and data models;
• understand ETL/ELT principles for data preparation.

These skills support effective data management across many environments.

Tools and Environments Covered in the Program

Students are also introduced to tools and environments commonly used in the field:

• Git for version control;
• Linux and basic Bash scripting;
• Microsoft Visual Studio for development and debugging;
• PHP/MySQL for server-side development;
• JavaScript, HTML, and CSS for client-side web development.

These tools help students understand how data and AI work within real IT environments.

A Strong Foundation for Applied AI Projects

By developing programming, database, and technical workflow skills, the Artificial Intelligence Specialist – LEA.E3 program at CDI College prepares students to support applied projects related to data, artificial intelligence, and business intelligence.

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

FAQ

1. Why is Python widely used in artificial intelligence?
Python is used for data processing, automation, and applying analysis and machine learning methods.

2. Why are databases critical in AI projects?
They store and structure data reliably, which is essential before analysis and model use.

3. What tools are covered beyond programming?
The program includes Git, Linux/Bash, Microsoft Visual Studio, and web development tools such as PHP/MySQL and JavaScript.