Published on: 2022-10-04 06:28:46
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Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate is a Google machine and platform training course published by Udemy Academy. This training course is one of the most popular and specialized courses published on Google’s cloud platform, and more than 87% of the students of this training course have a noticeable improvement in their skills and self-confidence level after completing this course. is itself have experienced in the work environment. This course is completely social and practical project training and will expose the student to a series of exercises and ready-made projects in the Qwiklabs environment.
Publisher: Coursera
Instructors: Google Cloud Training
Language: English
Level: Intermediate
institution/university: Google Cloud
Number of Courses: 9
Duration: Approximately 7 months to complete – Suggested pace of 5 hours/week
Course 1
Google Cloud Big Data and Machine Learning Fundamentals
Course 2
How Google does Machine Learning
Course 3
Launching into Machine Learning
Course 4
TensorFlow on Google Cloud
Course 5
Feature Engineering
Course 6
Machine Learning in the Enterprise
Course 7
Production Machine Learning Systems
Course 8
MLOps (Machine Learning Operations) Fundamentals
Course 9
ML Pipelines on Google Cloud
To get the most out of this course, we recommend participants have data engineering or programming experience and are interested in learning how to apply machine learning in practice.
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
This Specialization contain 9 courses.
Course 1 – Google Cloud Big Data and Machine Learning Fundamentals
Course 2 – How Google does Machine Learning
Course 3 – Launching into Machine Learning
Course 4 – TensorFlow on Google Cloud
Course 5 – Feature Engineering
Course 6 – Machine Learning in the Enterprise
Course 7 – Production Machine Learning Systems
Course 8 – MLOps (Machine Learning Operations) Fundamentals
Course 9 – ML Pipelines on Google Cloud
In total, about 2.5 GB
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