Program · Introduction to AI

Build a shared foundation for using AI.

Understand, practice and agree how to use it with sound judgment in your context.

Program · Introduction to AI

  1. Explore
  2. Practice
  3. Transfer

Who it is for

Start with clear foundations, without shortcuts.

No previous experience or technical knowledge is required.

Circle of people around a shared standard.

It uses everyday examples and a real case to move from basic concepts to a first verifiable practice.

What you will learn

Enough to begin with judgment.

The goal is not to memorize terms but to make better decisions about use.

Stacked deliverables ready to use and review.

What generative AI does

Recognize interaction patterns, relevant possibilities and limitations.

How to frame a task

Express purpose, context, outcome and criteria in simple language.

How to review an answer

Check sources, coherence, limits and fit for the case.

When to stop

Identify sensitive information, critical decisions and situations that require a person.

The program

Understand, test and agree.

A shared sequence that turns curiosity into practice.

Connected steps that end in a repeatable result.

Starting map

What we know, what concerns us and what we need to be able to do.

Demonstration

How an answer changes when context and criteria improve.

Practice

Each participant solves a concrete task and reviews the result.

Use agreement

What to apply, what to verify and what not to delegate.

What remains

A first practice that can be repeated.

The materials support use after the session.

Diagnosis map: a challenge observed before choosing the intervention.

Concept guide

Simple explanations and usage limits.

Practice workbook

An individual or team exercise with evidence.

Review checklist

Questions to ask before accepting an answer.

Starter prompts

Clear templates with examples and editable parameters.

Completion standard

You can use AI without confusing fluency with truth.

The final practice demonstrates understanding and responsibility.

Evidence loop: define, test and compare before deciding.

Explain the use

Describe the task and why AI may help.

Review the result

Identify what to verify and adjust.

State the limit

Recognize what information or decision should not be delegated.

What a class looks like

Every session has three moments.

Bootcamps and programs share the same class format; a workshop is a single 2-hour session.

Class clock in three moments: masterclass, hands-on and closing.

Opening masterclass

We explain the concept, the criteria and a real example in a few minutes.

Hands-on

You apply it to your own case with direct guidance.

Q&A close

We review results, answer questions and agree on the next step.

Weekly intensity: bootcamps 4 hours · programs 3 hours. Workshops are a single 2-hour session. With 80 % attendance you pass attendance. With the project and final delivery, you certify competence.

Frequently asked questions

What you need to know before moving forward.

How does it differ from the workshop?

The program builds a shared foundation and use agreements; the workshop focuses on testing one first case.

Is a paid account required?

Not necessarily. Tools are agreed according to available access and the activity.

Does it cover privacy?

Yes. It addresses information limits, human review and decisions that should not be delegated.

A useful beginning

Align your team around a shared practice.

We design the experience around their questions, tools and real situations.