Writing effective prompts for generative AI

One day (7 hours) to get reliable, usable answers from generative AI (ChatGPT, Claude, Copilot, Gemini) with structured prompts.

DAI-PROMPT-01 · 1 day · from €790 excl. VAT per participant

At a glance

Reference: DAI-PROMPT-01
Duration: 1 day (7 hours)
Format: On site or live online (virtual classroom), in-house or open session
Group size: 4 to 6 participants
Price: Open session: from €790 excl. VAT per participant. In-house: from €1,800 excl. VAT per day (up to 6 participants).
Lead time: 2 to 4 weeks for open sessions; date agreed with you for in-house sessions.
Trainer: Taha Daanoun, AI and data expert, trainer for about ten years, master’s degree in mathematical engineering and data science
Certificate: given to each participant at the end of the course, stating the objectives and the assessment results

Use generative AI effectively, critically and responsibly to produce professional content.

By the end of the course, you will be able to:

Explain how a language model works, its strengths and its limits (hallucinations, bias, knowledge cut-off).
Write a structured prompt with a method (role, context, task, format, constraints, examples).
Improve a result through successive iterations and by breaking a complex task down.
Apply advanced techniques: examples (few-shot), step-by-step reasoning, self-critique.
Check an AI answer and follow confidentiality rules (GDPR, sensitive data, EU AI Act).
Build a library of 5 reusable prompts for their own job.

Open to any employee or freelancer who uses, or wants to use, generative AI at work. No technical skills needed.

Audience: staff from every function (HR, marketing, sales, administration, management), owners of small businesses, freelancers.
Prerequisites: everyday use of a computer and a web browser. No AI or programming knowledge.
Equipment: a computer with access to at least one generative AI tool (free version is fine).
Needs assessment: online questionnaire before the session (current use, expectations, level, adjustments needed). A phone call is offered if the answers show a gap with the prerequisites.
Tailoring: exercises are chosen to match the participants’ jobs and the expectations collected beforehand.

The day mixes short inputs with practice: about 70% of the time is spent on exercises.

Time	Session	Activity
9:00 – 9:30	Welcome and needs check Introductions, questionnaire review, individual goals	Entry quiz
9:30 – 10:30	Understanding generative AI Language models, tokens, context, hallucinations, overview of tools	Side-by-side demo of 3 tools
10:45 – 12:30	The structured prompt method Role, context, task, format, constraints, examples; common mistakes	Workshop: rewrite 5 weak prompts
13:30 – 14:45	Advanced techniques Few-shot, chain of reasoning, task breakdown, self-critique, reusable templates	Job-based cases in pairs
15:00 – 16:00	Responsible use Checking sources, GDPR, confidential data, EU AI Act, content ownership	Case study: 4 risky situations
16:00 – 16:45	Individual project Building a library of 5 prompts for your job	Coached individual work
16:45 – 17:00	Assessment and wrap-up Exit quiz, review, satisfaction survey	Final self-assessment

Hands-on teaching: every idea is applied straight away to a real case from the participant’s work.

Methods: short inputs, live demos, individual and pair workshops, job-based case studies, sharing of practices.
Materials provided: PDF course handout, one-page method summary, prompt templates by job, list of resources to keep up to date.
On-site setup: room with projector and Wi-Fi, one computer per participant.
Online setup: virtual classroom (Teams, Zoom or Google Meet), link sent with the invitation, connection test offered the day before.
Support: AI and data expert trainer, reachable by email for 30 days after the session for questions about putting it into practice.
Technical and learning support: reply within 2 business days.

We measure whether objectives are met from the start of the course to three months after it.

When	Tool	What is measured
Before	Needs-assessment questionnaire	Level, use, expectations, adjustments needed
Start of session	Entry quiz (10 questions)	Starting knowledge
During	Corrected workshops, prompt assessment grid	Progress on objectives 2 to 4
End of session	Exit quiz + library of 5 prompts	Learning compared with the entry quiz, objective 6
End of session	Satisfaction survey	Satisfaction
3 months later	Follow-up survey (participant and sponsor)	Use at work

Each participant receives a certificate of completion stating the objectives and the assessment results.

You can enrol up to 10 business days before the session, once we have your needs-assessment questionnaire.

How to enrol: request through the contact form, call about your needs, quote, training agreement, invitation.
Lead time: 2 to 4 weeks for open sessions; date agreed with you for in-house sessions.
Price: Open session: from €790 excl. VAT per participant. In-house: from €1,800 excl. VAT per day (up to 6 participants).
Disability: the course is accessible to people with disabilities. The disability contact reviews each need (pace, adapted materials, accessibility tools) and can draw on Agefiph and other disability-in-training resources.
Disability contact: Taha Daanoun, through the contact form (mention “accessibility” in your message).
Contact: Taha Daanoun, Datanai SASU (Data & AI Organization), through the contact form. We reply within one business day.

To go further:

Tell us about your team and your goals. We reply within one business day with a tailored proposal.