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Managing Machine Learning Projects with Google Cloud

Digital Transformation Using AI/ML with Google Cloud,

Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. If you have questions about machine learning and want to understand how to use it, without the technical jargon, this course is for you. Learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.
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Rating 4.5 based on 71 ratings
Length 5 weeks
Effort 4 weeks of study, 2-4 hours/week
Starts Jul 10 (42 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

machine learning

This course is very good for someone who wants to just get a feeling of how machine learning can be used in different scenarios and how to get a hang of some of the machine learning tools without explicit coding knowledge.

A great introduction to Machine Learning!

Very useful for technical and business professionals who are looking to upgrade their knowledge to keep up with latest technical developments and introduction to open source platforms created by Google for seamless integration of machine learning and streamlining of business units and processes.

Great overview of Machine Learning with practical examples and applications, easy to understand hands-on tutorials on Big Query ML, Vision API etc.

Smooth and easy style of course content delivery from the Google instructors Genial, practico y que proporciona una visión global para saber qué y como hacer machine learning.

Enhanced my knowledge of machine learning and also showed practical ways of implementing what I learnt.

Excellent course to give us an idea of how machine learning works, how to set up machine learning teams within your company, how to identify potential use cases in your business and the importance of sensitive data governance.

I feel much more comfortable with machine learning concepts now and ready to pursue a more technical course.

The course was interesting and helped me get a basic introduction to machine learning.

Last week was not very interesting & could have been better Preety Decent start to learn about Machine Learning Fundamentals.

This is great for me to understand the concept of the Machine Learning.

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very good

Very good course, it goes beyond the basic concepts, and the hands on labs help to understand better the concepts.

The course material and coverage is very good and vast.

Very good quality and easy to understand

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for business professionals

Very good introduction for business professionals.

Very focused and precise ML course for business professionals.

:) It's a very good starting point for business professionals interested on a deep overview of Machine Learning, its characteristics, usage and benefits.

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overview of ml

Very interesting overview of ML Great Course!

thanks for your efforts It was great experience to study this course, the level of information is suitable for non technical users and it can be base for future learning in ML Great overview of ML.

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use cases

It covers a lot of good use cases from different kind of industries.

Also, some of the use cases depicted helped me understand up-to what extent ML can be used fun, immersive and rewarding This course has covered a brief introduction ML, ML components.

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great overview

highly recommended

Highly recommended for all the business professionals who want to get a flavour of the ML world.

Highly recommended!

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well as

Great overview of the basics of AI and how to think about when it makes the most sense to use it, as well as its limitations.

-May be some more examples/labs as well as a case study of a company went through their business transformation with ML would be helpful.

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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 4.5 based on 71 ratings
Length 5 weeks
Effort 4 weeks of study, 2-4 hours/week
Starts Jul 10 (42 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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