Machine Learning on Google Cloud

Completed by ADITYA JYOTI PAUL

July 12, 2019

Approximately 15 weeks to complete.

Course Certificates Completed

TensorFlow on Google Cloud

Machine Learning in the Enterprise

Feature Engineering

How Google does Machine Learning

Launching into Machine Learning

View certificate for ADITYA JYOTI  PAUL, 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

TensorFlow on Google Cloud

Google Cloud

Taught by: Google Cloud Training

Completed by: ADITYA JYOTI PAUL by July 6, 2019

4 weeks of study, 8-10 hours/week

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Machine Learning in the Enterprise

Google Cloud

Taught by: Google Cloud Training

Completed by: ADITYA JYOTI PAUL by July 12, 2019

3 weeks of study, 5-7 hours per week

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Feature Engineering

Google Cloud

Taught by: Google Cloud Training

Completed by: ADITYA JYOTI PAUL by July 9, 2019

2 weeks of study, 5-7 hours per week

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How Google does Machine Learning

Google Cloud

Taught by: Google Cloud Training

Completed by: ADITYA JYOTI PAUL by July 2, 2019

1 week of study, 8-10 hours/week

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Launching into Machine Learning

Google Cloud

Taught by: Google Cloud Training

Completed by: ADITYA JYOTI PAUL by July 5, 2019

5 - 7 hours per week

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