Machine Learning on Google Cloud

Completed by Şükrü Ozan

January 11, 2019

Approximately 15 weeks to complete.

Course Certificates Completed

How Google does Machine Learning

Feature Engineering

Machine Learning in the Enterprise

Launching into Machine Learning

TensorFlow on Google Cloud

View certificate for Şükrü Ozan, Machine Learning on Google Cloud, offered through Coursera. In this five-course specialization, participants learn to build, train, and deploy Vertex AI AutoML and BigQuery ML models; create Vertex AI custom training jobs and deploy using Docker containers; use Feature Store; perform feature engineering; and choose data preprocessing options. They also learn to use Vertex Vizier hyperparameter tuning to add the right mix of parameters that yields accurate, generalized models and the theory to solve specific types of ML problems. They learn to write distributed ML models that scale in TensorFlow; and leverage best practices to implement machine learning on Google Cloud. They experimented with end-to-end ML — building an ML-focused strategy, then model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.

Course Certificates

Earned after completing each course in the Specialization

How Google does Machine Learning

Google Cloud

Taught by: Google Cloud Training

Completed by: Şükrü Ozan by November 5, 2018

1 week of study, 8-10 hours/week

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Feature Engineering

Google Cloud

Taught by: Google Cloud Training

Completed by: Şükrü Ozan by December 6, 2018

2 weeks of study, 5-7 hours per week

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Machine Learning in the Enterprise

Google Cloud

Taught by: Google Cloud Training

Completed by: Şükrü Ozan by January 11, 2019

3 weeks of study, 5-7 hours per week

View this certificateChevron Right

Launching into Machine Learning

Google Cloud

Taught by: Google Cloud Training

Completed by: Şükrü Ozan by November 10, 2018

5 - 7 hours per week

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TensorFlow on Google Cloud

Google Cloud

Taught by: Google Cloud Training

Completed by: Şükrü Ozan by November 18, 2018

4 weeks of study, 8-10 hours/week

View this certificateChevron Right