About this Specialization
It’s no secret that machine learning is one of the fastest-growing fields in tech, and the Google Cloud has been instrumental in furthering its development. With a host of APIs, Google Cloud has a tool for just about any machine learning job. In this Google Cloud Lab Specialization, you'll receive hands-on practice with machine learning as it applies to language processing, go beyond the basics of using predefined models, learning how to build, train and deploy your own, and finally get practice with machine learning at scale and how to employ the advanced ML infrastructure available on Google Cloud. Learning will take place on Google Cloud's leveraging the Qwiklabs platform where you will have the virtual environment and resources need to complete each lab. This Google Cloud Labs Specialization is broken up into 4 courses comprised of a series of courses: Introduction to Machine Learning: Language Processing Intermediate Machine Learning: TensorFlow on Google Cloud Advanced Machine Learning: Machine Learning Infrastructure
| From | Google Cloud via Coursera |
|---|---|
| Hours | 15 |
| Instructor | Google Cloud Training |
| Language | English |
| Subjects | Programming Data Science |
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
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
Courses in this Specialization
Listed in the order in which they should be taken
| Starts | Course Information | |
|---|---|---|
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Jan |
Introduction to Machine Learning: Language Processing (You were viewing this course) It’s no secret that machine learning is one of the fastest-growing fields in tech, and the Google Cloud Platform has been instrumental in furthering its development. With a host... Coursera | Google Cloud |
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Jan |
Intermediate Machine Learning: TensorFlow on Google Cloud TensorFlow is a library for is an open-source software library for high-performance numerical computation that's great for writing models that can train and run on platforms... Coursera | Google Cloud |
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Jan |
Advanced Machine Learning: Machine Learning Infrastructure Machine Learning is one of the most innovative fields in technology, and the Google Cloud Platform has been instrumental in furthering its development. With a host of APIs, Google... Coursera | Google Cloud |
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&
| From | Google Cloud via Coursera |
|---|---|
| Hours | 15 |
| Instructor | Google Cloud Training |
| Language | English |
| Subjects | Programming Data Science |
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile (33rd - 99th).
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
Similar Courses
Sorted by relevance
