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How Google does Machine Learning

Machine Learning on Google Cloud,

This course explores what ML is and what problems it can solve. The course also discusses best practices for implementing machine learning. You’re introduced to Vertex AI, a unified platform to quickly build, train, and deploy AutoML machine learning models. The course discusses the five phases of converting a candidate use case to be driven by machine learning, and why it’s important to not skip them. The course ends with recognizing the biases that ML can amplify and how to recognize them.
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Rating 4.4 based on 718 ratings
Length 4 weeks
Effort 1 week of study, 8-10 hours/week
Starts Jun 12 (46 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Machine Learning Cloud Computing Information Technology

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What people are saying

google cloud platform

really good It was nice and short course to begin with Machine Learning, it provides us the understanding of of machine learning and use of Google Cloud Platform.

Nice introduction to the tools (Google Cloud Platform, Big Query, Python Notebooks, and Google's pre-built APIs).

Also learnt a lot about Google Cloud Platform and its services, highly recommend to people in the analytics field.

Very business-orientedLarge view on state of the art of Machine learninggood support on the LabsGoogle culture-orientedSometimes difficult to understand for a non-American native (eg : I had no idea of what a slushie was) Very nice course for understanding how google does machine learning using Google Cloud Platform (GCP).

It can give you the path of data processing using Google Cloud Platform.

Learn how to use google cloud platform.

Also get to try out google cloud platform.

A lot of focus on using Google products to solve ML problems and the various options Data Scientists have on Google cloud Platforms.

It basically shows how to get started with Google Cloud Platform.

This course teaches how google and other companies are using machine learning for improving their services and overall user experience Good to start learning about practical Machine Learning and Google Cloud Platform.

best course to get started with gcp implementing machine learning A very nice overall view of Google Cloud Platform and some of the tools available.

I always though that training the ML model was important but collecting data is much more important than that.Looking forward to use Google Cloud Platform in the future for production of my projects.

Its not so much a machine learning class, but a google cloud platform (GCP) class with a slant towards those who will be using GCP to do machine learning.

And a beautifully crafted course for a beginner to Google Cloud Platform.

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easy to follow

It was easy to follow and had a lot of useful information.

Easy to follow.

Straight to the point, crisp messages, Easy to follow, and most important great time estimation for each block.

I'm a novice and dont have much Technical background nor Data Science but this course was easy to follow.Labwork was really inclusive as it contained some real-life scenarios and made me comfortable that with little practice (and little Tech expertise), I can also do ML/AI.

Easy to follow and the labs are great.

good course Quite an easy to follow course.

As a non data scientist, I found the lectures easy to follow and was able to take away some of the key messages that I could take to my clients.

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about machine learning

It was a good introduction to how Google thinks about Machine Learning.

I think the course need some improvement for the students like us who don't know anything about Machine learning.

This is pretty much the quality of an enterprise level training, not what I was expecting from google I learn a lot but i need materials for my future reference.. More hands on Very interesting explanation of using ML in enterprise Great intro to Google Cloud AI Excelente Very good intro to GCP based machine learning Great course online for learning about Machine Learning in Google Intuitive.

An amazing platform to learn about machine learning and easier coursera platform to navigate and find resources It's a good advertisement for Google products.

Very Good This course contains some of the best information about Machine Learning in the business context that I've ever discovered.I'm grateful to Google for making their hard-won insights available for such a low cost, even if a major part of their motivation is marketing GCP products.

It cleared some myths about Machine Learning.

The course does not only talk about machine learning models, but it also stresses out the importance of implementation in order to make the model useful for daily operations.

good explanation for the topics and good practical knowledge Amazing course, I got to know about many contemporary things about Machine Learning in this course and also some about how Google does ML.

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get started

Good course to get started.

It expatiates on Googles ML product and how to utilizes them in Production Very insightful and clarified a lot of processes that I wanted to streamline This was a wonderful experience to get started with how google do ML The course was fantastic, people might complain about the "labs" being easy but there was a lot to explore and learn and get the right feel to being the journey of GCP, THANK YOU SO MUCH!

Easy to get started through these instructions Learnedalotfromthecourse.Thanks!

good cource This is the most essential course on how to get started with ML in the GCP.

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too much

Maybe it contains some marketing info, but not too much.

I found too much was spoon-fed in the labs.

However there was a bit too much focus on Google APIs over Machine Learning.

I liked the first part with practical examples, the second part is too much marketing for Google APIs for me It was good course.

Too much advertising sometimes Great introduction and hands-on labs that give a quick preview of what to expect the power of ML and the strategies and processes one must consider for a project of this nature.

too much theory instead of practice(( simple and to the point.

In addition, if possible, try not to sway too much as it is very distracting.

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well structured

Very well structured course to get started into ML.

Great organizing, materials and ways to deliver information Very well structured course.

It was awesome to know the first step towards machine learning 非常合适,有视频,有实验,很适合在看了吴恩达课程之后,通过这节课程了解一个实际的云平台 the course is well structured with right amount of details ,this course is more google focused and how does what it does Brief and easy but comprehensive, lots of code and documentation to learn the basics of how to leverate ML in GCP contains many not updated parts I need model answers for wrong questions Please explain the coding part Beginner level.

The course is very well structured and presented.

Very good Great and informative Cleared basic concepts and well structured :) Some of the labs were not working verbatim.

Nice and well structured course.Teaching is understanble to anyone who is a beginner.

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real world

However, I now know how to use part of the ML-google cloud An amazing course which provides real world perspective on Machine learning from conceptualization to deployment.

Balanced and nuanced view of the role and practical applications of ML in the real world.

You see a lot of real world examples/applications, obviously all provided by Google products.

This course opens eyes to real world data science projects' workflow.

With focus on how to implement ML in the real world the course provides us with at least one part of the ML Pipeline which can allow an organization to quickly implement ML in its business.

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high level

Other high level concepts were also interesting.

Great work Very high level so not for everyone; but very good intro to GCP and its services.

The course is deep, teachings are profound, and it makes you realize how huge and powerful ML field is and the awesome and myriad solutions this technology can solve... Plus you get hands on labs with GCP and its suite of world class APIs ok good Good for beginners more of google marketing for its outdated cloud tools than useful information about high level ML strategy.

Thank you Google for making ML accessible by all through high level abstraction A must-take course for the young engineers, entrepreneurs to build their projects easily quite efficiently.

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it 's a good

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Research Scientist-Machine Learning $55k

Cloud Architect - Azure / Machine Learning $75k

Watson Machine Learning Engineer $81k

Machine Learning Software Developer $103k

Software Engineer (Machine Learning) $116k

Applied Scientist, Machine Learning $130k

Autonomy and Machine Learning Solutions Architect $131k

Applied Scientist - Machine Learning -... $136k

RESEARCH SCIENTIST (MACHINE LEARNING) $147k

Machine Learning Engineer 2 $161k

Machine Learning Scientist Manager $170k

Machine Learning Scientist, Personalization $213k

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Rating 4.4 based on 718 ratings
Length 4 weeks
Effort 1 week of study, 8-10 hours/week
Starts Jun 12 (46 weeks ago)
Cost $49
From Google Cloud via Coursera
Instructor Google Cloud Training
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Programming IT & Networking
Tags Data Science Machine Learning Cloud Computing Information Technology

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