Your AI vendor would like to train your people. For free.
They have a curriculum, they have certifications, they have a portal, and some of them will send someone to your office. The material is genuinely good. It is well produced, it is current, and the people who wrote it know the product better than any consultant does.
You should take some of it. You should also be clear about what it is.
What free vendor training is for
Vendor training exists to increase usage of that vendor's product. That is not a criticism, it is just the job. The curriculum is organized around features, because features are what the vendor is trying to get adopted, and the exercises use the vendor's interface, because that is where the usage needs to happen.
The result is a team that gets measurably better at one product. Which is fine, right up until one of the following happens, and one of them always does.
Your licensing changes at renewal. A different vendor ships something your engineering team wants and now you are running two. The model that was clearly best eighteen months ago is now clearly third. Or the vendor reorganizes their product line and the thing your team learned is now called something else and works differently.
At that point you find out how much of the training was skill and how much was product familiarity. Usually it is more of the second than anyone expected.
The war is real, and your people are the ground
Microsoft, Google, OpenAI, Anthropic, and xAI are spending against each other at a scale that has no precedent, and they are not fighting over model benchmarks. They are fighting over which one of them becomes the place your company works.
There are a lot of ways to win that fight. Free training for your staff is one of the cheapest ones available, and it is the one your organization is most likely to accept without thinking about it, because it arrives labeled as a benefit.
We are not suggesting anyone is being sneaky. The vendors are perfectly open about wanting adoption. The point is that the incentive behind free training is adoption of a product, and the incentive behind your training budget should be capability in your people. Those two things overlap, and they are not the same, and the gap between them is where money gets wasted.
The Titans are at war. Your people do not have to be conscripted into one side of it.
What expires and what holds
It helps to sort AI skills into two piles.
Things that expire: where a feature lives in the interface, the syntax of one product's prompt shortcuts, which button generates the summary, the name of the current model tier, the workarounds for this quarter's limitations.
Things that hold:
- Knowing which kinds of work a language model is genuinely good at, and which kinds it will get wrong while sounding completely certain
- Being able to tell the difference between output that is right and output that reads well, which is a specific and learnable skill
- Knowing what company information can go where, and being able to make that judgment on a new tool nobody has approved yet
- Structuring a request so the answer is usable the first time instead of after four rounds
- For managers: setting expectations for disclosure and review, evaluating work when you cannot tell how much of it a model wrote, and coaching both the people avoiding AI and the people trusting it too much
- For anyone owning an automation: reading what an agentic workflow is actually doing, deciding where a human stays in the loop, and noticing the failures that do not throw an error
Every item in the second list transfers to a tool that does not exist yet. That is the test we use when we decide whether something belongs in a course.
A question worth asking before you sign anything
If your company switched primary AI vendors next quarter, what percentage of your team's training would still be worth anything?
If the honest answer is most of it, your program is in good shape and you should keep taking the free material for the product specifics. If the honest answer is a small fraction, you have been buying product familiarity and calling it AI capability, and the bill for that arrives at the next renewal.
What neutral training looks like in practice
To be concrete, because "vendor-neutral" is the kind of phrase that can mean nothing.
We teach on the tools you have already licensed. If your company runs Copilot, we teach on Copilot, because skills people cannot apply on Monday are not skills. The difference is what sits underneath: the exercises use your workflows and your documents, and the judgment we are building is the transferable kind. When we show the same task in two different tools, which we often do, the point is to make visible how much of what people think of as skill is actually just interface memory.
We do not resell licenses. There is no product on the other end of a recommendation, which means when someone asks us which model they should standardize on, the answer is about their work rather than our margin. Usually the answer is that they should not standardize as hard as they were planning to.
One honest disclosure, because it matters and pretending otherwise would be worse: we do sell software. UniversalContext is our platform and it sits at the top of the ladder we recommend to clients. We are model-neutral rather than platform-neutral, and it is worth knowing that we built our own platform model-agnostic for exactly the reasons in this article. We would not have designed it that way if we believed picking a titan was the right move.
The point of all of this
Every organization we work with is going to change AI vendors at least once in the next few years. Some will change twice. Nobody knows who wins, including the people spending the billions.
That uncertainty is not a reason to wait. It is a reason to invest in the part of your organization that carries across the change, which is your people, and to be deliberate that what you teach them is fluency in AI rather than fluency in one company's product.
Take the free training. Take all of it. Just do not confuse it with a capability strategy.
Where to go next: our four courses run on whatever your company already licenses, from company-wide literacy to the manager tracks on leading people who use AI and owning agents that run without you. Every engagement opens with a free needs assessment.
The platform view: our product team wrote the architecture version of this argument in The Titan Wars.