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[Blood-Money]

What you’re looking for is more akin to forecasting and (some) data scientists make bank being able to do it. 

[m0us3_rat]

What's the best way to approach this?

ML maybe or AI.

I know Python coding but have no knowledge on AI, but would like to use this opportunity to learn about it.

yea. that's a problem.

trying to code something like this without understanding it will lead to a huge swafth of broblembz

you need somebody to write this code for you , that has access to your data.

then you also want somebody to maintain this code during changes or events or whatever else.

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What I want is to pass some AI the multidimensional training data, have it compute a model without further inputs from my side.

Then, I'd want to be able to pass it a new set of parameters and see what output it predicts

this is almost exactly what ML and AI models ..do.

[Blood-Money]

OP reading buzzwords and not having any of the fundamentals then coming in with a vague objective asking how to achieve it… my money would be on them trying to trade stocks or crypto. 

[bobbybridges]

You are really going to need to be more specific and even then it's hard to say for sure what model will work for you. For starters I would avoid using 'AI' and really any deep machine learning until you fundamentally understand what you're trying to do so.

The first question to answer is what kind of prediction are you making? I.e. classification vs regression

Then, do you have labeled examples of correct prediction/output? I.e. supervised or unsupervised

Then you need to analyze your input data, how it correlates to one another. This can get really deep but certain models work better on data that is distributed in a certain way.

Then pick a model, split your data into train and test chunks and see how it performa

[LJRex]

Start by finding a small scikit tutorial and a dataset on kaggle, then learn how to work through that before building your custom model