AI Fundamentals
Build a practical foundation in artificial intelligence in six months. Understand how AI learns from data, train a simple machine learning model, and use modern generative AI tools responsibly.
6 Months
Remote
EN / FR
What is this program?
A hands-on six-month program at Caasitech Academy that builds practical AI skills: how models learn from data, training a simple machine learning model, and using modern generative AI tools responsibly.
Why does it exist?
AI is moving from novelty to everyday business tooling. Organisations need people who can apply data and AI workflows to real tasks, so training follows the same practical pipeline used in the workplace.
Who is it for?
Complete beginners, students, professionals and entrepreneurs who want working AI literacy, whether they plan to add AI to their current role or move into a data-focused position.
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
- Where AI is used today
- How machines learn from data
- Strengths and limits of AI systems
Data Foundations
Work with the fuel of AI.
- Types of data and where it comes from
- Cleaning and organising data
- Basic analysis and visualisation
- Data quality, bias and privacy
Machine Learning Practice
Train and test your first model.
- Supervised and unsupervised learning
- Intro to Python for AI
- Training a simple model on real data
- Measuring and improving accuracy
Generative AI Tools
Put modern AI to work.
- How chatbots and image tools work
- Writing effective prompts
- AI for writing, research and images
- Checking and verifying output
Responsible AI Project
Apply AI to a real problem.
- Ethics, fairness and privacy
- AI impact on jobs and business
- Finding an AI opportunity
- Presenting your project
Skills & Attitudes
Skills and attitudes for AI Fundamentals
Beyond technical knowledge, this program builds the professional qualities employers look for.
Cognitive & technical
Understanding of AI concepts, working with data, and basic Python for simple models.
Analytical
Questioning results, spotting bias and verifying AI output before use.
Interpersonal
Explaining AI ideas plainly and finding useful applications with others.
Personal
Curiosity, ethical awareness and readiness to keep learning as AI evolves.
How You'll Train
Built on the MWF Training Model
This is a full qualification, so most of the time goes into Core and Polish: learning the craft, then proving it on real work, including a company internship.
Foundation
Core AI vocabulary, how machines learn and why data matters.
Core
Data handling, Python basics and generative AI tools.
Polish
Practical exercises reviewed for accuracy and ethics.
Integrate
Final applied AI project with portfolio presentation.
Program Outcomes
By the end of this program, you should be able to:
These are capabilities you'll build.
Explain AI and machine learning concepts.
Collect, clean and analyse datasets.
Train and evaluate a basic ML model.
Use generative AI with effective prompts.
Recognise bias, privacy and ethical risks.
Present a practical AI opportunity.