Maîtriser l’art du prompt : obtenir des résultats précis et exploitables avec l’intelligence artificielle
Maîtriser l’art du prompt : obtenir des résultats précis et exploitables avec l’intelligence artificielle
Walid Bergaoui
Mastering the Art of Prompting: Getting Precise, Actionable Results from Artificial Intelligence
Knowing how to open an artificial intelligence is no longer enough: everyone does it. What separates an ordinary result from a remarkable one is the way you frame your request. The prompt is your voice, your specification sheet and your conductor's baton — whoever knows how to compose it turns a generic tool into an assistant tailored exactly to their needs. This training teaches you precisely that: moving from a fuzzy idea in your head to an instruction so clear that the AI answers you correctly, on the first try.
The approach is concrete and immediately applicable. You first learn to structure a prompt — setting the context, the objective, the role expected of the AI and the output format — then to sharpen your language with constraints, examples and quality criteria that eliminate vague answers. You then discover how to iterate intelligently: correcting, rephrasing and guiding the AI to converge quickly on the right result, and how to adapt your wording depending on whether you are generating text, images, video or an analysis. Each session ends with a prompt that you keep and reuse.
By the end of the course, you converse with the AI as you would with an expert collaborator: you know what you are asking for, you know how to ask for it, and you know how to judge the answer. You also keep a critical mind — spotting inaccuracies, outsmarting biases, checking the facts — because the final decision remains yours. You leave with a repeatable method and a library of prompts ready to use, in your work as well as in your personal projects.
What you leave with
Not just concepts, but concrete tools that you take away the very same day:
A library of prompts — ready-to-use templates, sorted by use case, that you adapt in a few seconds.
A repeatable method — a clear framework to build, test and refine any prompt, whatever the tool.
A verification checklist — to spot biases, errors and approximations and validate every result before using it.
Conversational ease — the ability to converse with the AI on any topic, text as well as image, with confidence and precision.
Program — 12 sessions of 1 hour
A progressive course: we first lay the foundations of the prompt, then refine precision and iteration, apply it to each type of content, and finally learn to verify and scale up. Each session is hands-on and leaves you with a reusable prompt.
Module 1 — The foundations of the prompt (sessions 1-3)
1. Understanding AI to talk to it better — how a model interprets your words, what context is and why wording changes everything. The right mindset for dialogue.
2. Anatomy of a good prompt — the four pillars: context, objective, the role expected of the AI and output format. Building an instruction that leaves no room for vagueness.
3. From vague to clear instruction — turning a vague idea into a precise request; avoiding generic answers from the very first generation.
Module 2 — Precision and iteration (sessions 4-6)
4. The precision of language — choosing your words, setting constraints, defining the tone, style and level of detail to frame the answer exactly.
5. Guiding by example — showing a model to imitate, providing evaluation criteria and a sample format to obtain a consistent and reproducible output.
6. Iterating intelligently — correcting, rephrasing and completing without rewriting everything; converging quickly on the expected result in a few back-and-forths.
Module 3 — Prompting each type of content (sessions 7-10)
7. Prompts for text — writing, summarizing, translating, rephrasing; adapting the register and length to your real need.
8. Prompts for images — describing subject, framing, lighting and style; the vocabulary that makes the difference between a failed image and a spot-on one.
9. Prompts for video and audio — formulating instructions for movement, rhythm and voice to create dynamic outputs.
10. Prompts for analysis and data — having it sort, compare, synthesize and explain; obtaining structured and reliable answers.
Module 4 — Verify and scale up (sessions 11-12)
11. Limits, biases and critical thinking — spotting inaccuracies and biases, checking the facts and keeping the final say over what the AI produces.
12. Your library of prompts — building capital: organizing your best prompts into reusable templates and building your own personal method.
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