Prompt engineering training teaches your teams to write clear instructions so a generative AI tool like ChatGPT, Claude or Gemini returns reliable answers. Expect one to two days, an open-enrollment price between 700 and 1,200 € excl. VAT per participant, and funding that is often available through your OPCO.
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AI Training for Business: The Complete 2026 Guide (Funding, Certification, EU AI Act)
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AI training for businesses in France costs between €350 and €3,300 ex. VAT per person in 2026, with up to 100% OPCO funding for SMEs under 50 employees. Since August 2, 2026, the EU AI Act requires every company using ChatGPT, Claude, or Copilot to guarantee minimum AI literacy across its teams, with sanctions up to €7.5M or 1.5% of global annual turnover. Here is how to design a truly operational, funded, and compliant program.
Prompt engineering training teaches your teams to write clear instructions so a generative AI tool like ChatGPT, Claude or Gemini returns reliable answers. Expect one to two days, an open-enrollment price between 700 and 1,200 € excl. VAT per participant, and funding that is often available through your OPCO. This article breaks down the typical program, the techniques actually taught, and what you can expect from it. For the bigger picture (funding, compliance, choosing a provider), start from the complete guide to AI training for business.
Prompt engineering means structuring an instruction so a language model produces a precise result, with no programming involved. The word "engineering" is misleading: this is not software development, it is a writing method. You write in plain language, you describe a context, a role and an output format, and the model relies on those cues to answer.
The skill has become cross-functional. A salesperson drafting a follow-up, an assistant writing minutes, an HR manager screening applications: all of them benefit from knowing how to frame a prompt. It is the first building block of a controlled use of generative AI, and it is also the one most teams skip, simply because no one trained them.
The goal is not to learn tricks, but to cut the number of back-and-forth exchanges between the user and the model. A poorly framed prompt produces a vague answer that the user rephrases three or four times before giving up or doing the work by hand. A well-framed prompt produces output you can use, with only minor edits.
The second issue is quality. A poorly instructed model makes things up: this is hallucination, where the AI states false information confidently. Learning to ask for sources, to impose a verifiable format and to break down a complex task limits that risk. In short, useful training saves time and lowers the error rate, not just technical curiosity.
One day is enough to raise awareness, two days to make teams autonomous on their real work. Here is the outline we deploy most often.
| Block | Content | Format |
|---|---|---|
| 1. Fundamentals | How an LLM works, what it can do and its limits | Short theory |
| 2. Anatomy of a prompt | Role, context, task, constraints, output format | Guided workshop |
| 3. Techniques | Zero-shot, few-shot, chain-of-thought, task splitting | Exercises |
| 4. Business cases | Prompts applied to your real files (sales, HR, marketing) | Practice |
| 5. Prompt library | Building and sharing reusable prompts | Collaborative |
| 6. Guardrails | Sensitive data, verification, compliance | Framing |
Block 4 is what makes the difference. Training that stays on generic examples leaves participants helpless the following Monday. Working on their own emails, their own reports and their own data is what anchors the skill. On the one-day versus two-day choice, our detailed benchmark is in the article on how long AI training should last.
Four techniques cover most business needs. There is no point going further for office use.
Zero-shot means asking directly, with no example. It is enough for simple tasks. Few-shot adds two or three examples of what you expect: the model mirrors the format and tone, which changes everything for repetitive outputs (template replies, classification, rewriting). Chain-of-thought asks the model to reason step by step before concluding, an approach introduced by Google researchers in 2022 that clearly improves reasoning and math tasks. Finally, splitting a complex task into sub-prompts avoids catch-all answers.
Good training does not recite these techniques: it shows when each one helps and, above all, when it is useless. Over-investing in overly long prompts is a common mistake.
Expect a range of 700 to 1,200 € excl. VAT per day per person for open enrollment, and a flat daily rate for in-house sessions. Here are the orders of magnitude observed on the French market in early 2026.
| Format | Indicative price | For whom |
|---|---|---|
| Open enrollment (1 to 2 d) | 700 to 1,200 € excl. VAT per participant | Isolated profiles, small teams |
| Custom in-house (1 to 2 d) | Flat group day rate (often 1,500 to 2,500 € excl. VAT) | Full team, internal cases |
| Certifying track | 2,000 to 6,000 € excl. VAT | Career change, long upskilling |
In-house quickly becomes more cost-effective past five participants, and it lets you work on your own files. For a full cost breakdown, the article on the price of AI training for business gives the complete figures. Note that training focused on a specific tool, such as our ChatGPT training for business, largely overlaps with prompt engineering, since it works the same writing mechanics.
Prompt engineering training can be funded like any skills-development action, provided you go through a Qualiopi-certified provider. Three routes exist.
Your OPCO can cover all or part of the cost under the skills-development plan: the steps are detailed in funding AI training with OPCO. The CPF can be used when the training targets a registered certification: this is the case for the RS6776 certification, "Writing an optimal prompt on a generative AI tool", listed in the French Répertoire spécifique by France Compétences; the terms are explained in the CPF for AI training. The FNE-Formation, finally, remains available in some cases.
In every case, the provider's Qualiopi certification is what unlocks these funding routes. We explain why in Qualiopi-certified AI training: why it matters.
Training on prompts also answers a regulatory obligation that now falls on employers. Regulation EU 2024/1689, known as the AI Act, requires through its Article 4 that people using AI systems have a sufficient level of AI literacy. This obligation has applied since 2 February 2025.
Prompt engineering training, because it covers how models work, their limits and data precautions, contributes directly to this compliance. The detail of the obligation is in our article on the AI Act and mandatory AI training under Article 4.
GrowthPerf is a Qualiopi-certified training provider specialized in AI, no-code and automation for SMEs and nonprofits in the Paris region. Our prompt engineering sessions are built around your real cases: we collect a few typical files beforehand, we build the workshops on them, and every participant leaves with a ready-to-use prompt library.
The format adapts to your situation: a one-day awareness session to start, two days to make a team autonomous, on-site in Paris or remote. OPCO funding is reviewed from the quote stage.
To see the program tailored to your team and check your funding eligibility, book a free 30-minute audit. And to place this building block within a full training strategy, go back to the complete guide to AI training for business.
Do I need to know how to code to take prompt engineering training? No. Prompt engineering is done in plain language. No programming knowledge is required, which makes the training accessible to every profile, from sales to executive assistants.
How long does prompt engineering training last? One day for awareness, two days to make a team autonomous on its own files. Beyond that, you move into longer certifying tracks, aimed more at individual upskilling.
How much does prompt engineering training cost? For open enrollment, expect 700 to 1,200 € excl. VAT per day per person. For custom in-house sessions, the price is a flat day rate for the group, often more advantageous past five participants.
Can prompt engineering training be funded? Yes, through the OPCO under the skills-development plan, sometimes through the CPF when it targets the RS6776 certification, and in some cases through FNE-Formation. The provider must be Qualiopi-certified.
Which techniques do you actually learn? Zero-shot, few-shot, chain-of-thought and splitting complex tasks, applied to real business cases rather than generic examples.
Does prompt engineering work on every tool? The principles are common to ChatGPT, Claude, Gemini or Copilot. The nuances mostly come down to each tool's settings and how it integrates into your work environment.
