good

If you are working with data in one of various roles such as business analyst, data analyst, data scientist and you are completely new to cloud technology, this is the course for you.

It provides an overview of AWS's most popular services and explain what problems the services are designed to solve (i.e. the reasons for adopting data lake).

Specifically, the instructors briefly walk you through different parts of designing data lakes: data ingestion (Kinnesis Family, AppFlow, API Gateway, Snow Family, Data Exchange), data storage (S3), data catalog (Glue Crawler, Glue Data Catalog), data processing (Glue Job, Lambda, EMR), data visualization and exploration (Kibana), machine learning (SageMaker).

After the course, you'll have a roadmap to dive into your interested topics.

One of the lab is buggy and content is a little bit superficial. But if treating the course as a light entertainment + little education it's learning pace is quite good. Although instructors are cool and make getting knowledge easy. I'm satisfied overall but will not reccomend it for people who already use AWS in everyday routine because content is really introductary:)

I Loved it, just that is only a beginner course, I would like to have more courses like this one, so we can keep up with AWS and data lakes.

Missing Lab's during the course, unfortunately, from start to finish, none of the Labs could be started

The system didn't allow me to work on the labs for weeks 3 and 4.

I tried it in 2 computers and no luck

Nice course for beginners. It allows to familiarize with AWS components and datalake fundamentals.

Very good class. Except the problem in Lab2 of week 3. Author should fix it!

It is a good one. However, I had some problems accessing the exercises...

Sadly the lab 2 is outdated, but otherwise the course is great.

m​ore about ingest and consume data with kinesis and lambda

Good content

good

Good content, but the delivery could be better. The course is old (Sep 2020) and needs updating, since AWS changes some services (e.g. Elastic Search is now OpenSearch). Not worth the price.

Videos with screen shots and sequwnce of steps are useful; videos with 'talking heads" and generic statements are not useful . Sections can be improved with more motivated examples.

The discussion forums were useless -- the instructors did not respond to questiuons and requests for help. Also, three labs werre planned but only one was published and accessible.

El acceso al algunos laboratorios fallo y no posible reintentar hacerlos

L​abs were not working but the content was good.

Had a lot of troubles access the labs

labs are not accessible.