A useful ChatGPT training program for a company fits into two days, alternates short theory with hands-on work on your own files, and ends when every participant leaves with three to five uses they can apply the following Monday.
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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.
A useful ChatGPT training program for a company fits into two days, alternates short theory with hands-on work on your own files, and ends when every participant leaves with three to five uses they can apply the following Monday. Everything else is logistics. This article breaks down the typical program we run, block by block, and what you should lock down before gathering your teams. For the full picture (funding, compliance, choosing a provider), start with our complete guide to AI training for business.
One market data point first: according to the France Num 2025 barometer published by the French Directorate General for Enterprise, the share of small and mid-sized firms using AI doubled in a year to reach 26 %, including 22 % for text generation. Your teams already use these tools, often without any framework. Training first turns that spontaneous use into a controlled practice.
The reference format is 14 hours across two days, or a sequenced rhythm of 2 hours per week over seven to eight weeks. Providers advertise 16 hours on average, and many also offer a shorter one-day version focused on getting started.
The right format depends on your real goal. One day is enough to demystify the tool and instill the basic reflexes. Two days become necessary as soon as you target specific business use cases, because workshop time on your actual documents is what makes the difference. The sequenced rhythm produces the best retention: participants come back with field questions between sessions, which is worth far more than one extra demo.
A detail few catalogs mention: group size matters as much as duration. Beyond eight to ten people, hands-on workshops lose efficiency because the trainer can no longer check each screen. For a whole team, two sessions of eight beat sixteen people at once.
A solid program runs through fundamentals, prompt engineering, business use cases and a safety framework, in that order. Here is the day-by-day flow we use for a two-day format.
| Sequence | Duration | Content |
|---|---|---|
| Day 1 morning | 3 h 30 | How a language model works, what it can and cannot do, overview of versions, first guided hands-on |
| Day 1 afternoon | 3 h 30 | Prompt engineering: structuring a request, giving context, iterating, building reusable prompt templates |
| Day 2 morning | 3 h 30 | Workshops on real business cases brought by participants (writing, summarizing, analysis, support, meeting prep) |
| Day 2 afternoon | 3 h 30 | Risks and safeguards: hallucinations, data confidentiality, GDPR, internal rules, a 30-day usage plan |
This sequencing is deliberate. Opening with safety cools the room; placing it at the end, once participants have touched something concrete, makes the rules far more credible. Likewise, the Day 2 workshops only work if you asked everyone beforehand to bring two real tasks to automate. Without that prep, the practical afternoon turns into a generic demo.
Training your teams on the free version when you will deploy a Team or Enterprise plan is a common mistake, because features and privacy rules differ. This is the most structuring decision, and it must be made before the first session.
The differences that matter for a company:
In practice, if you let each employee create a personal free account, you control neither what gets pasted into the tool nor where the information goes. This is what we call shadow AI: unsupervised, already widespread use that becomes a risk the moment a client document or an HR file ends up in a conversation. Training is the right time to formalize a chosen version and set what can and cannot be entered. To understand the underlying logic, the term generative AI is covered in our glossary.
The gap between a disappointed employee and a convinced one almost always comes down to the quality of their requests, not the tool. That is why a full half-day is devoted to it.
A good prompt engineering module is not a list of tricks. It teaches a method: state the expected role, provide context and constraints, show an example of the desired output, then refine through successive iterations. Participants leave with a library of prompts tailored to their job, which changes everything for adoption. A salesperson with five ready templates for meeting notes reuses them; one who has to reinvent the request every time gives up within a week.
It is also the moment to set the tool's upper limit clearly: ChatGPT excels at rephrasing, structuring and speeding up a first draft, but it replaces neither expertise nor verification. Stating this nuance in training avoids the two opposite traps, total distrust and blind confidence.
No serious program skips hallucinations, confidentiality and GDPR. A tool that produces plausible but sometimes false answers calls for verification reflexes, especially on figures, quotes and legal points.
The three points to cover without exception:
Covering these topics is not anxiety-inducing when done after the workshops: participants have seen the tool's value, so they accept the safeguards all the more readily.
The EU regulation 2024/1689, known as the AI Act, requires under its Article 4 that organizations ensure a sufficient level of AI literacy among their staff, and this obligation has applied since 2 February 2025. A well-built ChatGPT training program covers this requirement directly as long as it includes the risk and proper-use component.
This changes how you read the budget. Training your teams is no longer only a productivity question; it is also a way to document your compliance. We detail the exact scope of this obligation in our dedicated article on Article 4 of the AI Act and mandatory AI training. Keep in mind that the certificate issued at the end of the training is a useful record in case of an inspection.
A ChatGPT training delivered by a Qualiopi-certified provider is eligible for OPCO funding, which sharply reduces the net cost. Catalog prices observed range from about 350 to 700 € per person for inter-company sessions, and from 1,500 to 3,500 € for a custom in-house format, amounts that can be funded depending on your sector and your OPCO.
The right move is to file the funding request before the session, not after. Depending on the branch, coverage can reach the full training cost. We explain the real ranges and levers in our article on the price of AI training for business, and the precise steps in our AI training and OPCO funding guide.
How long does ChatGPT training for business last? The most common format is two days, or 14 hours, or a sequenced rhythm of 2 hours per week over seven to eight weeks. A one-day version exists for simple onboarding.
How much does ChatGPT training for business cost? Expect about 350 to 700 € per person for inter-company sessions and 1,500 to 3,500 € for a custom in-house format. Part or all can be funded by your OPCO if the provider is Qualiopi-certified.
Do you need a paid ChatGPT subscription to attend? Not to discover the tool, but the version decision (free, Plus, Team, Enterprise) should be made before the session, because privacy rules and features differ. Training on a version you will not deploy wastes time.
Does the training cover the AI Act obligation? Yes, provided the program includes the risk, confidentiality and proper-use component. Article 4 of EU regulation 2024/1689 has required a sufficient level of AI literacy since 2 February 2025.
How many participants per session? Beyond eight to ten people, hands-on workshops lose efficiency. For a large team, two smaller sessions beat a single big group.
What do participants actually take away? A prompt engineering method, a library of prompts tailored to their job, verification reflexes and a 30-day usage plan. The goal is real use, not general knowledge.
ChatGPT or another assistant: is the training transferable? The principles (prompt engineering, verification, confidentiality) transfer to most assistants. The choice of tool depends on your context; we address it in our support.
GrowthPerf is a Qualiopi-certified training provider specialized in AI and no-code for small and mid-sized businesses and associations. We build each program from your real business cases, not a generic deck: you send us two or three concrete tasks per participant, and the training is organized around them.
Before the session, we also settle with you the question of which version to deploy and the usage rules, so the training has a lasting effect rather than being a one-off discovery. The AI Act compliance component is built in, and the certificate issued documents your AI literacy obligation. To go further on organizing a full path, see our complete guide to AI training for business and our dedicated AI training for business offer.
To shape a program suited to your teams, book a free 30-minute audit. We start from your current uses and propose a costed, fundable format.
