.svg)
When you need to train your teams on generative AI, the first question is usually the same: should you choose in-house AI training, run only for your employees, or open (inter-company) training, where your staff join participants from other organisations? Here are the differences, the benefits of each format and a simple checklist to decide.
What is in-house training?
In-house (intra-company) training is organised for a single company. The group is made up only of your employees, the date and venue are chosen with you (your offices, a seminar venue or online) and the content is built around your tools, your roles and your documents.
What is open (inter-company) training?
Open (inter-company) training brings together people from several organisations on a session with a fixed programme, often at the training provider's premises. It is convenient for training one or two people, but the content stays general.
In-house vs open: the comparison
- Personalisation: high in-house (your use cases, tools and data); limited in open sessions (shared programme).
- Confidentiality: in-house, you can work on internal documents under rules you set; in open sessions, examples stay generic.
- Group size: in-house makes sense from around fifteen people and scales to several hundred; open sessions suit a few participants.
- Scheduling: in-house fits your calendar (seminar, kick-off, roll-out plan); open sessions follow the provider's calendar.
- Collective impact: in-house, the whole team shares the same habits and vocabulary, which makes tool adoption easier.
Why in-house is usually more effective for AI
Generative AI is not learned in theory: it is learned on real tasks. AI training that starts from your teams' real spreadsheets, emails and procedures delivers immediate gains, whereas a generic example is quickly forgotten. It is also the only format that lets you work on the tool deployed in your company (ChatGPT Enterprise, Claude, Microsoft Copilot or an internal LLM) under its security rules.
That is why AI Sisters delivers in-house training, in your offices in Paris, anywhere in France or online, with formats such as the AI Show to bring a whole company up to speed and job-specific AI workshops to move to action team by team.
When to choose open training
- You have one or two people to train, with no need for customisation.
- You want an individual first introduction before a wider roll-out.
- You cannot bring a team together on a common date.
Funding: OPCO and Qualiopi
In France, both formats can be funded through the skills development plan, with possible support from your OPCO, provided the training organisation is Qualiopi certified. The amount depends on your OPCO and company size. AI Sisters is Qualiopi certified.
Checklist to decide
- How many people? Fewer than 5: open. A team or more: in-house.
- Are your use cases specific? Yes: in-house.
- Will you work on internal documents? Yes: in-house.
- Is the goal collective adoption of a tool? Yes: in-house.
- Do you want to include it in a seminar or kick-off? Yes: in-house (see our AI seminar activity).
In short
To train a team or a whole company on AI, in-house training offers more personalisation, more confidentiality and better adoption. Open training remains useful for individual needs. Based in Paris? Discover our AI training in Paris, on site in your offices or online.
.avif)
