Kursteilnehmer-Bewertung und -Feedback für Google Cloud Platform Big Data and Machine Learning Fundamentals von Google Cloud

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.

Very good overview of key areas of GCP including compute engine (VMs), SQL, basic data storage, running spark applications, and basic overiew of BigTable, Big Query, and a basic introduction to running Tensorflow in IPython notebooks.

A very good overview of the Google Cloud Platform. The course provides a big picture of the platform and shows how some of the central services can be used in combination to solve different data engineering and machine learning tasks.

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Great course to start with cloud services and to learn about new topics like Machine Learning and Big Data.They covered lots of topics in the course so only brief introduction was given ,but that good to know all the different topics.

I am highly passionate about Machine Learning and AI. This fundamental course on Big Data & Machine Learning is awesome. The Labs are very useful and practicing them on live Google Cloud Platform is a great experience.

Thanks Google.

Es un curso enfocado en resaltar los beneficios de trabajar con GCP y cuán emocionante es poder lograr cosas en este ambiente de una manera sencilla. Completamente recomendable para quienes esten comenzando en este fascinante mundo.

This is a great intro to almost any novice with little or basic exposure to Cloud Computing. Serious power of Cloud computing unleashed by Google and this course is the right pathway to learn how to take advantage of that power.

Very good course to get a quick overview of GCP fundamentals. One can start working on most of the GCP tools after completing this course. Labs are very helpful to get some hands-on exercises. Videos are put together very well.

It is was an immense pleasure is learning this course. Content was easily understandable and the instructors was clear in their delivery. The lab hands-on was extremely useful in practicing and exploring Google Cloud Platform.