Good

GOOD

Good

Good

Good

Good

Good

Good

na

DP

ok

ok

o

k

NA

ok

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m

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Although clear and precise, the course lacks charisma and practices. We learn how to follow instructions: click here, now here, type this, do that... But can we remember them up to the final stages in the course? In my opinion, is really possible, but quite hard. Another problem i had were the teachers, they didn't seen to really know or enjoy what they were doing, instead, all of them were reading a script. That was noticeable and sometimes made me so uncomfortable that i had to skip the videos and just read the transcript. For last, the feeling of "this is a GCP Propaganda" was something that bothered me. I rather learn how to use GCP in real-life-like scenarios than learn why choose GCP over something else. Seriouslly, the "you only pay for what you use" is a mantra that could be firmly stated in the first lesson, not scattered around every single class. For a beginner, that unfortunately pulled me off.

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.

The short videos had some good information, but a person standing in front of the camera pumping their hands up and down reciting from cue cards in nearly every instance really doesn't convey as much information as it could. Your content deserves far better production value. Video media is for aural AND VISUAL learners (of which I am the latter). You have the opportunity to have more than just bulleted word lists behind lecturers, and include more diagrams and animations to really let the lessons reach all types of learners.

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.