Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.
This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.
автор: Leandro S•
Really interesting with nice examples. I would like to mention that it is not 5 starts because I found some repeated lessons / videos in the content.
автор: Stefan J•
very good and interesting start, second half gradually fell off in quality, less quizzes, less good labs (video lecture quality stayed good though!)
автор: Roberto S•
Very good introduction to the GCP tools applied to cutting edge data engineering and machine learning. Videos are well done and tutorials fun to do.
автор: Aditya K•
As I am from an Admin background it took more time to understand the AI & ML areas. Overall it is very good and hope learn in details in next course
автор: Aniruddhan G•
It is certainly a good course offering a broad overview of the Google cloud platform. However, it could offer more depth in all the modules covered.
автор: Bobby M•
I love the content. The lab system is innovation but sometimes the scoring system does not work properly, especially when you are outside the US.
автор: Oren L•
The course is good, the labs are not great and some of the labs required multiple (identical) repeat before it was marked as completed. Thank you
автор: JUAN G B•
Good for an introduction.Some topics about Datalab need an extra introduction, because are not easy to understand for a person with not knowledge
автор: Ramon G•
Great to start with GCP advance analytics and AI. It's really cool to do the hands-on labs with a real gcp free account, but they're a bit basic
автор: Adelard B•
Very good course. Got a lot of useful insights. - Quizzes are fine and just right amount. But needs more challenging lab exercises for practice.
автор: KOMMURI S P K•
Very good content but the categorization could be improved as the content is stuffed into week 1. There could be segregation of more sections..
автор: Maninder S B•
Overall this is a good introduction course. However, I did not come across any topics that cover on premise to cloud data migration strategies.
автор: Ruchita K•
This is one of the course i really enjoyed . and get to know about BigQuery ,GCP platform . Building model .and many more exciting materials.
автор: Joey ( K•
Very well designed course. Love the walk through of the concepts followed by hands-on exercises. The end of week 2 felt a bit rushed though.
автор: Florian S•
A great course for getting an overview of applied machine learning and big data solutions provided as products of the Google Cloud Platform.
автор: Samuel S•
Good introduction to GCP. The labs are mostly follow the instructions step by step. It'd be more helpful to have some more challenging labs.
автор: Souvik S•
Ignoring the various hiccups that happened along the way with QwikLabs, this course is very helpful for establishing your GCP Fundamentals!!
автор: Diego B•
Nice introduction to the GCP infrastructure. The main features of GSP are discovedered, ad high level, without going deeply on the details.
автор: Jorge R S•
Great course. I'm not that familiar with data, so a crash course on SQL might be helpful as reference to understand better some concepts.
автор: Facundo F•
very good course, some of the labs have problems in the completion, and not 100% updated on the tutorial. Great content and very didactic
The course is very good, but which is only an introduce course. I hope the followed courses cloud be teach some knowledge of application.
автор: Colin A•
good general overview of ML on GCP. Much of the material is covered in the free tutorials on cloud.google.com, but videos are a big help.
автор: Joaquin M•
The course is a good intro to the GCP ecosystem. If you are not aiming for a Specialization (5 or 6 courses) do not pay for this course.
автор: John K•
Very informative, yet frustrating at times with how the labs are set-up. I am excited to continue down the Data Engineer specialization.
автор: Brad K•
Very good! I think more exercises would help solidify some of the steps and processes in configuring pub/sub, bq, dataflow, and autoML.