◇ Could this help me?
Yes, and specifically because evaluation is on the list at all. Most agent-building material stops at getting something to run, which is the easy part, and the hard part is knowing whether a change made it better, which requires evaluations that existed before the change. Including that alongside the fundamentals and the system design session makes this a more complete curriculum than the usual list. General practice, with two honest caveats: this is a pointer rather than instruction, so its value depends entirely on the linked sessions, and these are hosted on a course platform, so it is worth confirming which of them are genuinely free to watch before committing time or an email address.
I want to learn to build agents in the right order, and I want evaluation treated as a first-class part of it rather than an afterthought. Start by explaining the building blocks of a simple agent and have me build one. Then, before adding any capability to it, help me write the evaluation: what specific outcomes define success, what the failure cases look like, and how I would detect a plausible-looking wrong answer. Only then move on to multi-step and multi-agent designs. At each stage, tell me what the evaluation should catch that I would otherwise miss by just looking at the output.