He got MORE than he expected from this AI course
45sRelatable surprise and positive outcome hook viewers interested in AI education.
▶ Play ClipAI Summary
Harold Alejandro Gomez, an electrical and electronics engineer with an MBA, shares his experience with a top-ranked AI program. He discusses how the course, which he discovered through a Forbes listing, exceeded his expectations by teaching Python, SQL, and prompt engineering through hands-on projects.
Chapters
[00:06]
Course Exceeds Expectations
The course was eye-opening; he learned more than expected, especially through projects that pushed him to learn and understand Python better.
[00:20]
Projects Drive Learning
Projects provided insight and motivated him to learn more and improve his AI skills.
[00:32]
Background and Motivation
He is an electrical and electronics engineer with an MBA, experienced in instrumentation and controls. He felt behind because colleagues in similar industries were using AI extensively.
[01:18]
Choosing the Program
He chose the program after seeing it ranked as the best AI program in a Forbes article.
[01:33]
First Exposure to ChatGPT
He had heard of ChatGPT but never used it, relying on Google Gemini as an extended search tool. The course introduced him to ChatGPT.
[02:02]
Learning Python and SQL
The course taught Python and SQL, which are highly relevant and frequently mentioned in the industry.
[02:16]
LLM Applications and Creativity
The first module showed how LLMs connect to many applications, and the instructor noted that many people use LLMs for creative purposes.
[02:29]
Prompt Engineering Insights
Prompt engineering was interesting because it teaches clarity and the importance of giving LLMs examples.
[03:15]
Continuous Learning Mindset
The course is not an end-all; AI constantly changes, and this is just the beginning. He emphasizes the need to keep learning and not stay static.
Mentioned in this Video
💡 Key Takeaways
💡
Exceeded Expectations
Shows the course delivered more value than anticipated, a strong endorsement.
00:06
📊
Forbes Ranking Influence
Demonstrates how external rankings can drive course selection.
01:18
🔧
Prompt Engineering Value
Highlights a practical skill that improves AI interaction quality.
02:29
⚖️
Continuous Learning Mindset
Emphasizes that AI education is ongoing, not a one-time achievement.
03:15Full Transcript
[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.
