Data Engineering, Big Data, and Machine Learning on GCP

Completed by Anthony Awuley

February 24, 2018

Approximately 10 weeks to complete.

Course Certificates Completed

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Serverless Machine Learning with Tensorflow on Google Cloud Platform

Building Resilient Streaming Systems on Google Cloud Platform

Google Cloud Big Data and Machine Learning Fundamentals

View certificate for Anthony Awuley, Data Engineering, Big Data, and Machine Learning on GCP, offered through Coursera. This five-course accelerated specialization is designed for data professionals who are responsible for designing, building, analyzing, and optimizing big data solutions. Through a combination of video lectures, quizzes, and hands-on labs, learners carried out serverless data analysis and productionize machine learning models. This specialization is designed to give learners a robust hands-on experience and is primarily lab-focused.

Course Certificates

Earned after completing each course in the Specialization

Serverless Data Analysis with Google BigQuery and Cloud Dataflow

Google Cloud

Taught by: Google Cloud Training

Completed by: Anthony Awuley by February 10, 2018

1 week of study, 6-8 hours/week

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Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Google Cloud

Taught by: Google Cloud Training

Completed by: Anthony Awuley by February 3, 2018

1 week of study, 5-7 hours/week

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Serverless Machine Learning with Tensorflow on Google Cloud Platform

Google Cloud

Taught by: Google Cloud Training

Completed by: Anthony Awuley by February 17, 2018

1 week of study, 8-12 hours/week

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Building Resilient Streaming Systems on Google Cloud Platform

Google Cloud

Taught by: Google Cloud Training

Completed by: Anthony Awuley by February 24, 2018

1 week of study, 6-8 hours/week

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Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud

Taught by: Google Cloud Training

Completed by: Anthony Awuley by January 28, 2018

2 weeks of study, 6-10 hours/week

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