Opiniones y comentarios de aprendices correspondientes a Google Cloud Fundamentals: Core Infrastructure por parte de Google Cloud

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A quick Crash Course on Google Cloud's Offerings.

A little background with GCP, devops in general, and/or software engineering is a good idea. A total novice could take this course, but they spend an almost no time explaining technology terms that are common for me (E.X. NoSQL, TCP/UDP traffic, Regression models, etc) but you could spend a lot of time unpacking the jargon if you don't already know it.

Suggestions for improvement:

1. The Lady instructor talks too quickly, and her slides match too loosely with what she's saying.

2. Any topic might be very unfamiliar to any particular learner. For example, I'm very familiar with data engineering and machine learning but not very comfortable with networks. I'd like to see more quality, optional videos and quizzes that cover some of the rudimentary terminology and concepts in greater detail. I presently don't know (but will research on my own) what TCP/UDP traffic actually is. I know a regional load balancer can be used to share any traffic including TCP/UDP, but I don't know what those protocols are or what they are used for.

3. The labs are almost entirely point and click, copy and paste. This feels a like a "lowest common denominator" approach. While I'm sure it means easier course management and a higher pass rate, it's not very engaging.

4. It looks like there are many unanswered questions in the discussion forms.

Although the topic itself is very interesting, I was disappointed with the way the course was presented. First of all, with all due respect for the trainer, he used a flat voice tone that is challenging you to stay awake. Secondly, I think more details and real-life examples would've been useful.

I liked the labs and the platform, I think this was the most useful part of the course.

One last mention, I don't if this is a Coursera feature or the course itself, but the progress tracking could be improved in my opinion. There were time when you had to scroll all the way down for the next video and the scroll all the way up to see it.

Even though it’s an introductory course, I believe it could and should be exciting and encouraging. Unfortunately, it’s quite the opposite. Boring and monotonic, it feels very formal, and it is presented without even the slightest spark of interest from the author.

To add insult to injury, there are a lot of small flaws and bugs in the Coursera interface. That’s quite unexpected and, in the end, simply disappointing.

On the bright side, I did learn new things, and I am genuinely grateful for that.

That was a pretty good introduction on how various systems work, together with a nice practical tutorial. However, the delivery has ENORMOUS potential for improvement... for now it's just slides with an extremely impassive voiceover. There are so many good ways to engage with the learner and yet none of them have been employed here. After doing a great Deep Learning course by Google on another platform, this one was a huge disappointment in that regard.

As a tech manager the course was great to introduce the many services and their uses, especially detailed use cases. Some labs were enjoyable to see how the services are used, but some were cumbersome and the directions were poorly written. On occassion the google jargon got to be a bit much and I had to rewatch a sentence 3 times. Perhaps that's not the course's fault, but it's akin to a dictionary using the work being defined in it's explanation.

This course work is not for a beginner... it assumes the student is comfortable with the command line environment. I am not sure how many students from my cohort (myself include) understand these prerequisites.

Also, the instructors are great, but the script is too granular for a new learner or a non-english speaker to understand. I don't think the graphics in the presentations really support what is being stated.

Gives a good and comprehensive overview of GCP, with a nice mix between videos, demos and hands-on codelab tutorials (with various tools). Even understandable for those without knowledge of setting up Linux systems :-)

However, some information is already outdated (or doesn't even match with what the presenter is saying) and the presenter has a slightly slow pace making the videos more lenghty than needed.

I am p​retty sure this course was supposed to be broken down into multiple weeks. 1 week with over 12 hours of content but they recommend 4-6 hours a week for the course. That is at least 3 weeks of content in that case. You can tell something funny happened the way the modules are broken down in the course. Easy to follow and awsome powerpoint slides, but they need to fix the layout in this course.