Your clients are asking for AI. Your competitors have already launched a “ChatGPT for professionals” module, and you're hesitating, because producing a complete learning path takes months. The problem isn't the will: it's production time, the filming budget, and above all the ability to maintain content that goes stale in a matter of weeks.
A turnkey AI training catalog answers exactly that roadblock. These are learning paths that are already produced, already scripted, already hosted, and that you fold into your offering without hiring a trainer or filming a single video.
Here you'll find four concrete ways to add AI to your catalog, each with its time to market, upfront cost, update workload, and real limitations. The first is our solution; the other three are the alternatives on the market. Then you 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 training paths, produced and maintained by an outside publisher, that your organization delivers under its own offering without building or updating them itself.
Watch out for the wording: plenty of vendors call a folder of PDFs plus a recorded webinar a “turnkey catalog.” That's not the same thing. A catalog a training provider can genuinely put to work contains six elements:
- scripted video paths, broken into short, progressive modules;
- access to the AI tools themselves, otherwise learners watch 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 whenever 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: hands-on practice. AI training without access to the tools is a driving lesson without a car. And asking a learner to take out five or six subscriptions themselves just to follow your course is an excellent way to tank your completion rate, and with it your objective-attainment metrics.
Method 1: plug the Skilzy catalog into your organization
With Skilzy, you add more than 15 ready-made AI programs to your offering, 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-overs), generating music, automating tasks with n8n, writing effective prompts, and coding with AI. These aren't 20-minute awareness modules: they're production-focused paths, designed so the learner walks away with a deliverable.
The thing that changes a training provider's life is the built-in AI Lab. Learners use the real tools directly inside the platform, with credits included. You don't have to manage a stack of subscriptions, re-invoice licenses, or explain to a learner how to create six different accounts before the first exercise.
On the certification side, two credentials are registered in France Compétences' répertoire spécifique: the RS7439 certification in AI content marketing and RS6792 in AI and sales. Because they're registered, they open the door to funding schemes, which completely changes the sales conversation with a company or an OPCO.
For training providers, there's a dedicated B2B offering: you can check out the Skilzy offering for training organizations for partnership and volume terms. Alongside that, individual access starts at €29.90 per month with no commitment, which gives you a useful benchmark when you set 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 fully online. If your market wants custom in-person training on site, you'll have to add 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 delivering 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 stops.
The ratios commonly seen in instructional design put the production of one hour of finished e-learning at between 30 and 100 hours of work: scripting, writing, filming, editing, quizzes, integration. So for a 10-hour path, you're looking at several hundred hours of work before you collect your first euro.
On top of that come three costs training providers forget when they make the decision:
- 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;
- 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 general-purpose e-learning publisher
General-purpose 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 upsides are real: immediate rollout, low unit cost at high volume, and a single invoice covering multiple 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 are provided with the modules, the last update date for each piece of content, and whether there's a specific AI certification at the end of the path.
Method 4: bring in a freelance AI trainer
A freelance trainer gives you high-quality in-person delivery and strong credibility, but your offering stays capped by their calendar, their day rate, and their availability.
Day rates observed for an experienced AI trainer usually fall 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 offering disappears the day they don't renew, or leave for a competitor with the client relationship in hand;
- the time 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 practice. That's exactly the logic we develop 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 | General-purpose 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 first | Trainer's responsibility |
| AI tools included | Yes (AI Lab, credits included) | No, must be funded | Rarely | No |
| Fundable certification | Yes (RS7439, RS6792) | Must be built and registered | Depends on the publisher | Depends on the trainer |
| Editorial control | Limited | Total | Limited | Shared |
What your auditor will look at
The national quality framework behind Qualiopi certification has 7 criteria and 32 indicators. When you add an external catalog to your offering, four topics come up in almost every audit:
- the fit between the content delivered and the objectives stated in your training agreement;
- proof of attendance and learner support in remote delivery (logins, progress, follow-ups);
- assessment of whether objectives were met, meaning usable results, not just a satisfaction survey;
- monitoring of developments in the field, which in AI amounts to proving your content is recent.
An external catalog doesn't exempt you from anything: you remain responsible for the evidence. That said, a vendor that cleanly exports activity records saves you a considerable amount of time on audit day. To prepare that side of things, our article on Qualiopi evidence in e-learning details, file by file, the documents to keep.
Key takeaways
If your goal is to sell AI training this quarter, in-house production isn't the right answer: it costs too much time and goes stale too fast. A turnkey catalog gets you to 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 add your own value on top: that's what will justify your price.