All models are approximations of reality, thus they are ideas humans make in the context of their social situation. Norms and attitudes impact what we research, how we interpret data, and what we end up believing.
While the aim of science is to get closer to the truth the end result is going to approach but never reach perfect accuracy. With gender we see the social norms all through the expression of gender in different ages, generations, socioeconomic statuses, cultures, and countries. With sex we see a flattening of what is present into a strict binary with exceptions rather than what is actually present, a range of different karyotypes, sensitivities to hormones, levels of hormone production, interactions in regulatory genes, and differing morphologies. Gender is a diverse spectrum, but so is sex, and the reason we teach the XX XY version is the same as how we teach mathematic ideas. Basic stuff first, then expanding on that idea, then going further until we have the capacity to really understand the basics, like the multiple page proof that 1+1=2. Yes, basic biology says male and female, but intermediate talks about the diverse presentations of sex.
I don’t know about videos but having a look at the OSI model is a good way to start. It covers the abstract framework for packetizing data including things like the distinction between hardware and software, envelope, encryption, application layer stuff, the whole shebang. The cool thing is by going hardware, network, application you can see where responsibility are and it helps you understand where things can go wrong.
If you are interested there are plenty of CCNA style courses available on the internet, licit and otherwise, and they go into more depth, and the same applies to RHCE/RHCSA material. The training for certifications like that covers what you want to know but also puts it in context, and again licit and otherwise sources are available.