Your clients are asking for AI. Your competitors have already launched a “ChatGPT for professionals” module, and you're still hesitating, because building a complete learning path takes months. The problem isn't motivation: it's production time, filming budget, and above all the ability to maintain content that goes stale in a matter of weeks.
A turnkey AI training catalog solves exactly that. These are learning paths that are already produced, already scripted, already hosted, and that you add to your offer without hiring a trainer or filming a single video.
Here you'll find four concrete methods for adding AI to your catalog, each with its time to market, upfront cost, update workload and real limitations. The first one is our solution, the next three are the market alternatives. You then choose based on your size, your audience and what your Qualiopi auditor expects from you.
What exactly is a turnkey AI training catalog
These are complete learning paths, produced and maintained by an external publisher, that your organization distributes under its own offer without building or updating them itself.
Watch out for the vocabulary: plenty of vendors call a folder of PDFs plus a recorded webinar a “turnkey catalog.” That's not the same thing. A catalog that a training organization can actually use contains six things:
- scripted video paths, broken down into short, progressive modules;
- access to the AI tools themselves, otherwise the learner watches without ever practicing;
- hands-on exercises and graded assessments;
- exportable activity records (logins, progress, time spent, results);
- at least one registered, fundable certification;
- content updates when the tools change.
That last point is the most underestimated. A module filmed on one version of a tool in January can be partly wrong by June: the interface has moved, a feature has disappeared, a model has been replaced. So always ask your vendor two questions: how often is the content re-shot, and who pays for that update. If the answer is vague, you're buying a catalog that will be obsolete before the end of your first fiscal year.
Second decisive criterion: practice. AI training without access to the tools is a driving lesson without a car. And asking a participant to take out five or six subscriptions of their own just to follow your course is an excellent way to tank your completion rate, and with it your objective-attainment indicators.
Method 1: plug the Skilzy catalog into your organization
With Skilzy, you add more than 15 ready-made AI programs to your offer, with tool access included and two state-recognized certifications, in a few days instead of several months.
The catalog covers the use cases your clients actually ask for: creating images, producing videos (UGC content, ads, faceless channels, avatars, voice-over), generating music, automating tasks with n8n, writing effective prompts, and coding with AI. These aren't 20-minute awareness modules: they're production-oriented paths, designed so the learner walks away with something they've built.
The part that changes life for a training organization is the built-in AI Lab. Learners use the real tools directly inside the platform, with credits included. You don't have to juggle a stack of subscriptions, re-invoice licenses, or explain to a participant how to create six different accounts before the first exercise.
On the certification side, two credentials are registered in the France Compétences specific registry (répertoire spécifique): the RS7439 certification in AI content marketing and RS6792 in AI and sales. Because they're registered, they unlock funding schemes, which completely changes the sales conversation with a company or an OPCO.
For training organizations, there's a dedicated B2B offer: you can check out the Skilzy offer for training organizations for partnership and volume terms. In parallel, individual access starts at €29.90 per month with no commitment, which gives you a useful benchmark when you're setting your own selling price.
Before signing anything, you can try the platform with the discovery demo: 7 days, 1 image, 1 video, 1 music track and 10 messages, no credit card. You create an account, look at the quality of the paths and how the AI Lab works, and decide afterwards. It's the fastest way to check that the level matches your clients.
The limitations, because there always are some: the catalog is asynchronous and remote. If your market wants tailor-made in-person sessions on site, you'll have to layer your own value on top (scoping, industry use cases, coaching, assessment panel). And you don't control the editorial line of the videos: you're distributing content you didn't write.
Method 2: produce your own AI catalog in-house
Producing it yourself gives you total editorial control and maximum margin, but count on several months before the first sale and an update workload that never ends.
The ratios commonly seen in instructional design put the production of one finished hour of e-learning at somewhere between 30 and 100 hours of work: scripting, writing, filming, editing, quizzes, integration. For a 10-hour path, you're therefore looking at several hundred hours of work before you collect your first euro.
On top of that come three costs organizations forget about at decision time:
- hosting and tracking: you need an LMS capable of recording activity, a topic covered in our guide to choosing an e-learning platform for your training organization;
- the AI tools for learners: five or six subscriptions at €20 to €100 per month each, easily €150 to €300 a month per seat if you provide them;
- maintenance: every major update to a tool forces you to re-shoot part of your sequences.
This method still makes sense in one specific case: your organization has an in-house AI expert, AI is central to your positioning, and you expect to amortize across several hundred learners. Otherwise, you're building an asset that depreciates faster than you can make it pay off.
Method 3: buy AI modules from a generalist e-learning publisher
Generalist catalogs sell AI modules on a per-learner subscription, which is handy for covering volume, but the content often stays theoretical and comes without tool access.
These publishers offer libraries of several thousand modules (office software, languages, management, compliance) to which an AI category has been added. The business model is simple: a price per learner per year, with volume discounts and possible integration into your LMS.
The advantages are real: immediate rollout, low unit cost at high volume, and a single invoice covering several topics.
So are the limitations. Most of these modules are awareness-level: understanding what a language model is, writing a simple prompt, knowing the risks. That's useful for an internal skills development plan, much less so for a company that wants its team to produce publishable visuals or videos. Three things to check before signing: whether the tools come with the modules, the last update date of each piece of content, and whether there's a specific AI certification at the end of the path.
Method 4: hire a freelance AI trainer
A freelance trainer gives you high-quality in-person delivery and strong credibility, but your offer stays capped by their calendar, their day rate and their availability.
Observed day rates for an experienced AI trainer are most often between €600 and €1,500 depending on seniority and region. For a two-day on-site session, the economics work very well. The problem shows up as soon as you want to scale.
Three structural constraints:
- you can't sell more sessions than their calendar allows;
- your offer disappears the day they don't renew, or leave for a competitor with the client relationship in hand;
- the gap between sessions isn't covered: without a platform, the learner has nothing to practice on between days.
The combination that works best is to keep the freelancer for high-value facilitation and back it with an online catalog for the fundamentals and the practice. That's exactly the logic developed in our article on how to offer AI training without hiring a trainer.
Comparing the four methods and securing your Qualiopi audit
Compare the options on five concrete criteria: time to market, upfront cost, update workload, included tool access and fundable certification.
| Criterion | Skilzy catalog | In-house production | Generalist publisher | Freelance trainer |
|---|---|---|---|---|
| Time to first sale | A few days | 3 to 9 months | A few days | 2 to 6 weeks |
| Upfront cost | Low, subscription-based | High (production) | Low to medium | Medium (day rate) |
| Content updates | Publisher's responsibility | Yours, ongoing | Varies, check carefully | Trainer's responsibility |
| AI tools included | Yes (AI Lab, credits included) | No, to be funded | Rarely | No |
| Fundable certification | Yes (RS7439, RS6792) | To build and register | Depends on the publisher | Depends on the trainer |
| Editorial control | Limited | Total | Limited | Shared |
What your auditor will look at
The national quality framework underpinning Qualiopi certification has 7 criteria and 32 indicators. When you add an external catalog to your offer, four topics come up in almost every audit:
- the match between the content delivered and the objectives stated in your training agreement;
- proof of attendance and learner support in remote settings (logins, progress, follow-ups);
- assessment of objective attainment, meaning usable results, not just a satisfaction survey;
- monitoring of developments in the field, which in AI comes down to proving your content is recent.
An external catalog exempts you from nothing: you remain responsible for the evidence. On the other hand, a vendor that exports activity records cleanly saves you a considerable amount of time on audit day. To prepare that part, our article on Qualiopi evidence for e-learning details the documents to keep, file by file.
Key takeaways
If your goal is to sell AI training this quarter, in-house production isn't the right answer: it costs too much in time and goes stale too fast. A turnkey catalog puts you on the market in a few days, provided it includes tool access, exportable records and a fundable certification. Test it before you commit, check how fresh the content is, then layer your own value on top: that's what will justify your price.