It’s a general issue here that most of the courses just get published at some point in time, which means that they are using the versions of TF, numpy and all the hundreds of python packages that were current at that point in time. They don’t get updated every time TF or numpy changes versions. If you come along two years later and try to download things, there is no guarantee that things will “just work”: this software world is very dynamic. You’d think that if they were going to change things, they would do so in ways that are “backwards compatible”, but the evidence suggests that this is not a big consideration for them for whatever reason. 
We don’t have any “official” instructions for this kind of issue, because it’s just too complicated to cover all possible cases. But here’s a thread from a fellow student that gives some guidance about how to get started. Given that you already know about Anaconda, some of that may be “old news” to you. 