Introduction à l'intelligence artificielle
Introduction à l'intelligence artificielle
Walid Bergaoui
Introduction to Artificial Intelligence
Artificial intelligence is no longer a distant promise: it's a lever you can activate today to save time, make better decisions, and do more with the same resources. This training takes a simple stance: AI doesn't replace you, it augments you. You stay in control — the vision, the expertise, and the judgment are yours — and you learn to make AI a true day-to-day copilot. No technical prerequisites: we start from scratch, explain everything in plain terms, and turn each concept into a skill you can use the very next day.
The approach is decidedly hands-on. First, you understand what AI really is, how it "thinks," what it can do and what it can't — so you can use it with clarity rather than be at its mercy. Next, you discover its major families: generative AI that writes texts, images, and ideas; the conversational AI of assistants and chatbots; predictive AI that anticipates; and analytical AI that turns your data into decisions. Above all, you put it into practice: automating repetitive tasks, writing faster and better, processing and classifying information, supporting your analyses, and making your choices more reliable. And because real mastery requires perspective, you also learn its limits, the mistakes to avoid, and an ethical, responsible use.
By the end of the program, AI will no longer be an intimidating black box but a familiar tool, naturally integrated into your work. You'll know how to choose the right AI for the right need, give it instructions that produce exactly what you expect, and keep the critical thinking that makes the difference between a use you endure and a use you master. You'll leave with lasting reflexes and use cases you can apply immediately — to turn your ideas into high-performing actions.
What you leave with
Far more than concepts: real autonomy to make AI your everyday ally.
A clear compass — you understand the major families of AI and instantly know which one to choose for which need.
Ready-to-use use cases — writing, automation, data processing, and decision support, applicable the very next day.
The art of asking well — effective prompts to get exactly what you want, on the first try.
The right critical reflex — spotting the limits, avoiding the pitfalls, and using AI in an ethical and responsible way.
Program — 10 sessions of 1 hour
A progressive course with no prerequisites: we start from scratch to understand AI, explore its major families, then put it concretely to work — before anchoring the right reflexes and the critical thinking that make all the difference.
Module 1 — Understanding AI (sessions 1-3)
1. What exactly is AI? — demystifying artificial intelligence, separating myth from reality, and setting the guiding principle: AI augments humans, it doesn't replace them.
2. How AI "thinks" — data, learning, and machine learning explained simply; what really happens when AI produces an answer.
3. Strengths and limits of AI — what it does very well, what it can't do, and why it depends on the quality of the data and the context.
Module 2 — The major families of AI (sessions 4-5)
4. Generative & conversational AI — producing texts, images, ideas, and code; conversing with assistants and chatbots to speed up everyday work.
5. Predictive & analytical AI — anticipating behaviors, scoring, detecting trends, and turning large volumes of data into useful insights.
Module 3 — Putting AI to work (sessions 6-8)
6. The art of the prompt — crafting clear, precise instructions to get exactly the result you expect, on the first try.
7. Automating repetitive tasks — delegating writing, emails, information classification, and reporting to free up time and reduce errors.
8. AI as decision support — leveraging analysis to make your forecasts more reliable, optimize your actions, and support your strategy.
Module 4 — Mastery & critical perspective (sessions 9-10)
9. Verify, correct, keep your critical thinking — spotting errors and "hallucinations," cross-checking information, and validating before using a result.
10. AI, ethics & responsible use — personal data, bias, rights, and best practices to integrate AI sustainably into your activities.
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