Curso muito bom, mesmo! Aprendi varias habilidades e irei utilizá-las para vários projetos. O GCP está mostrando que não é necessário ter várias habilidades, apenas conceitos básicos e os aprendidos nesse curso são suficientes para se trabalhar com Big Data e ML.

Some frustrations with things taking forever during the labs, but the course itself is fantastic. Great presenters and excellent information. Feels a bit like a full-on sales pitch, but then again, if you have the product you need to sell it. Thank you so much.

good content, vidoes, labs etc.

But, the course outline is hard to follow. all of the steps are listed in a flat list although the course contains 5 sections. A better organization in the left side menue of the course outline in the course homepage would be nice

Great introductory course. I enjoy the hands-on labs. Wish we could've done more SQL in the labs. Everything was just copy and paste. But, I understand why. it's not a SQL course. It was nice to go through the process of these tasks while on the live platform.

Great course!

Probably not in your place but it would be nice if videos or resources on creating our own pyspark code or even the creating the csv file for labeling in autoML were added.

Also wanted to find out about the in house labeling service for AutoML.

After taking this course, I have a better grasp of the various AI products Google has to offer. I found the timeline history of Google products launched quite interesting, especially how the company has contributed so much in the field of AI platforms.

I believe this course is a good structured approach to thinking about ML and data modeling and the capabilities that GCP has to offer. I would recommend to take this course with the - Data Engineering specialization to gain more in-depth fine knowledge!

It helps understand concepts better and helps understand the requirement/need of a google cloud resources/components very well. Helped understand customer's use cases or problems and reason their choice of google cloud very well.

Overall a great course.

It was a great course over all , got the knowledge of Bigquery , ML on GCP , how google cloud platform is the best approach to do almost everything because they provide you with great API's , services and easy to do huge workload and processing easily

A nice and informative course to get an overall knowledge about GCP, Big data & ML and to be familiar with cloud environment and terminology. Thanks the instructor for his passion in teaching and his firm knowledge while explaining all of these to us.

Is a great introduction and except for the last evaluable lab, which I did not allow to enable the api due to something related with the account billing, I learned some interesting basic knowledgs on making small projects with ML and big data on GCP.

Excellent course. Provides great overview of the Google Cloud Platform and its amazing data processing capabilities. Learnt great machine learning skills for predictive modelling on the Google Cloud Platform in a very hands-on and convincing manner.

The instructor of this course was clearly an enthusiastic teacher. The lab assignments were interesting and required just the right amount of hands-on work to ensure that the student understood the material without belaboring the point. Excellent!

Just amazing too see how google has done its best to save time and effort of people with so many tools in GCP. A very well structured course for someone looking to learn all the aspects of data science. Thnk you Coursera and GCP for this course..

I was actually a novice on GCP but after taking this course I've got a fundamental knowledge about GCP, and inspired to go deeper. This course is an amazing one and will recommend it to anyone out there. Thanks for this super amazing opportunity.

Lak is very persuasive in making sure we get the idea and concepts of GCP. I had a great hands on experience on GCP Big Data Products by doing Qwiklabs and I am able to identify the different use cases and when to use each GCP tools/technologies.

Phenomenal introductory course to a slew of Google offerings. My favorite is how you basically give people a path to take existing workloads and then move them to the cloud, but then show how you can completely rethink HOW you used to do things.

This is a fundamental course which gives confidence is proceed further. Anyone looking for Data Engineering or Machine Learning using GCP, this is good place to start. Dont get confused by many online resources. This is the right place to start.

had an amazing experience dealing with Google cloud platform and handling challenging and interesting qwiklabs which have made me gain a lot of skills to navigate and understand Google cloud. Privileged to be part of google learning platforms.

Totally loved this course. Could finish it in 3 days flat and it gave me (a beginner) a really good overview of GCPs cloud capabilities and some hands-on experience as well. The instructional videos and labs complement each other really well.

Great course. I use GCP at work and my company just launched it only about 1 year ago. I'm using what I learned in this course to try and see what else we can get out of GCP, and I captured at least three realistic tools that will help us.

Loved the course !! It has just right amount of information that beginner will need to start his journey in ML. Loved lab assignments as it gives the first hand experience of using various GCP offerings like BigQuery, API and storage etc .

Google Cloud Platform Big Data and Machine Learning Fundamentals This is the most important for me to built and teach the challenge and i could got knowledge and practice. Someday, i convince my self going to employees in google company.

It is a great course to give an overview of GCP offerings. I am an experienced data engineer and few might say it is very beginner friendly, which I agree to, however, I found it really useful to quickly familiarise me with GCP ecosystem.

Great course developed by the google cloud platform team. As per the my understanding it help the data scientist in reducing their time for writing the same code again & again & creating the good model with better accuracy & efficency.