I strongly recommend you to pick up H&P's Computer Organization and Design: the Hardware/Software Interface. I think you can really only appreciate their other great book, "A Quantitative Approach" if you properly learn a new architecture, then the big ideas behind "A Quantitative Approach" will really speak to you.
Organization and Design has different editions for RISC-V, aarch64 and MIPS. The MIPS one is what I learned computer architecture on and it's super solid.
The usual recommendations I think are: Andrew Ng’s Coursera for the fundamentals, Andrej Kaparthy’s videos (https://karpathy.ai/zero-to-hero.html) for more practical and LLM focussed, and also Fast.ai’s courses. I’ve done some of the first two and they seem great.
Lacking the shame to avoid asking for recommendations from time to time¹.
Imagining you're the type of person that really wanted to like Machines Like Me for its concept but found the exposition truly painful, are other McEwan books worth a read? Basically was Machines Like Me an outlier or standard McEwan?
[Edit: Worded harshly, but without too much malintent; books are art, and appreciation is personal.]
Organization and Design has different editions for RISC-V, aarch64 and MIPS. The MIPS one is what I learned computer architecture on and it's super solid.