Help needed for TD learning and deep Q Learning

I have designed a small game, it’s a kind of checkers game. I want to add an AI to it so players can play against the computer. I have started do build a Q Learning algorithm but the number of possible combination is so huge that my computers explode. So I have seen there was other technicise like deep Q Learning and TD learning. I found some tutorials about these technicise but they don’t really apply to my problem.
So if you can help

Hi @Remi_G,
have you already seen the tf_agents library?
The following ‘walk through’ sounds pretty similar …

No I didn’t. I am going to watch this thanks.

Ok I have watched the video and also looked the blog (building board game app with tensorflow)
But I am still confuse because I am not familiar with Python.