AI Fundamentals
Build a clear foundation in artificial intelligence, understand how it works, and learn to use AI tools responsibly to solve practical problems at work and in business.
6 Months
Hybrid
EN / FR
What is this program?
A hands-on program in Caasitech Academy that prepares you for the Ministry's Production of Graphic Designs diploma. You learn to create print documents, illustrations, web pages and simple animations, and to explain your design choices to a client.
Why does it exist?
Companies, institutions and clients need people who can produce consistent, professional visual work. The national programme was built with employers, so training follows real workplace tasks.
Who is it for?
Students, professionals, career switchers and entrepreneurs who want a nationally recognized qualification, either to work in a studio or company or to work for themselves.
What You Will Learn
5 modules in AI Fundamentals
Each module builds on the previous one, from foundations to a finished, portfolio-ready project.
Understanding AI
Know what AI is and what it is not.
- What AI, machine learning and deep learning mean
- A short history and where AI is used today
- How machines learn from data
- Strengths and limits of AI systems
Data Fundamentals
Learn why data is the fuel of AI.
- Types of data and where it comes from
- Collecting, cleaning and organising data
- Basic analysis and visualisation
- Data quality and bias
Machine Learning Basics
See how models are trained and tested.
- Supervised and unsupervised learning
- Training, testing and measuring a model
- Introduction to Python for AI
- Training a simple model on real data
Generative AI & Everyday Tools
Put modern AI tools to work.
- How chatbots and generative models work
- Writing effective prompts
- AI tools for writing, images, research and productivity
- Checking and verifying AI output
Responsible AI & Applications
Use AI wisely in the real world.
- Ethics, privacy and fairness
- AI's impact on jobs and society
- Identifying AI opportunities in a business
- Presenting an AI project idea
Skills & Attitudes
Skills and attitudes for AI Fundamentals
Beyond technical knowledge, this program builds the professional qualities employers look for.
Cognitive & technical
Understanding of core AI concepts, working with data, and basic Python skills for simple models.
Analytical
Questioning results, spotting bias and checking AI output before relying on it.
Interpersonal
Explaining AI ideas in plain language and working with others to find useful applications.
Personal
Curiosity, ethical awareness and a readiness to keep learning as AI quickly evolves.
How You'll Train
Built on the MWF Training Model
Training moves from Foundation to Integrate: learn the essentials, build core skills, polish them on real projects, and finish with portfolio-ready work.
Foundation
Core AI vocabulary, how machines learn and why data matters.
Core
Data handling, machine learning basics, Python and generative AI tools.
Polish
Practical exercises on real examples, with attention to accuracy, bias and ethics.
Integrate
A final project that applies AI to a real problem, presented clearly to a non-technical audience.
Program Outcomes
By the end of this program, you should be able to:
These are capabilities you'll build.
Explain what AI and machine learning are and how they work.
Collect, clean and analyse simple datasets.
Train and evaluate a basic machine learning model in Python.
Use generative AI tools effectively with well-written prompts.
Recognise bias, privacy and ethical risks when using AI.
Identify and present practical AI opportunities for a business or organisation.