[00:06] eye-opening because I was expecting to learn a lot, but I got more than I was asking for, which was great in the end. And something that I really found fantastic were the project because the projects
[00:20] not only gave you insight, and so it it pushed you to learn more. It pushed you [music] AI, to understand Python more. So, my
[00:32] AI, to understand Python more. So, my name is Harold Alejandro Gomez. I'm electrical and electronics engineer with an MBA. Um my profession or what I've had my professional experience has been in instrumentation and controls. [music]
[00:51] everything. Let's just say AI is everywhere. I was at one point feeling that I was a little bit behind because with with AI, I would you know, talk to people [music] I worked with, talk to individuals that
[01:05] were in comparable industries to me, and [music] they would be using AI for basically a lot of things. So, and so I >> [music] >> and Forbes was listing the the top AI
[01:18] >> and Forbes was listing the the top AI programs. Once I saw that it was ranked as the best program according to to the Forbes article.
[01:33] AI just taught me a lot of things because I would because I I had [music] heard of ChatGPT, read articles of people using ChatGPT, but I never myself had [music] used ChatGPT. I had been using Google Gemini
[01:47] as an extended, you know, Google [music] search. The The first thing that that I liked about the course was that [music] I learned Python. What I liked about this course is that you hear about Python a lot, but also SQL. So,
[02:02] something that I also liked was the first module. So, the first module showed [music] how LLM was connected to a lot of applications. Plus, I liked how the instructor had mentioned that with the LLM, a lot of
[02:16] people use it for creative purposes. So, later on, it was a little bit challenging to to do all those [music] projects, but I loved the challenge. The the part of prompt engineering was also very
[02:29] interesting [music] because that way you give them clarity. Also, I liked how the prompt engineering [music] taught us about giving the LLM examples. So, that [music] Let's just say this course was very
[02:45] Let's just say this course was very eye-opening because I was expecting to learn a lot, but I got more than I was asking for, which was great in the end. And something that I really found fantastic
[02:57] were the projects. So, because the projects not only gave you insight, and so it it pushed you to learn more, it pushed you to be better learn more, it pushed you to be better with AI.
[03:15] always changes. So, I don't see this course as a [music] end-all and now, you know, now I know everything about AI or anything of the sort. Like, I think this is just the beginning because
[03:27] there's so much that AI is doing nowadays, and people are using AI, that this is just the first [music] step in stone. We don't have the luxury to just stone. We don't have the luxury to just stay as is. We have to keep on going.