Data Engineering, Big Data, and Machine Learning on GCP

Completed by KENNEDY KAMANDE WANGARI

March 19, 2024

Approximately 1 months at 10 hours a week to complete

Course Certificates Completed

Smart Analytics, Machine Learning, and AI on Google Cloud

Modernizing Data Lakes and Data Warehouses with Google Cloud

Building Resilient Streaming Analytics Systems on Google Cloud

Building Batch Data Pipelines on Google Cloud

Google Cloud Big Data and Machine Learning Fundamentals

View certificate for KENNEDY KAMANDE  WANGARI, 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

Smart Analytics, Machine Learning, and AI on Google Cloud

Google Cloud

Taught by: Google Cloud Training

Completed by: KENNEDY KAMANDE WANGARI by March 6, 2024

View this certificate

Modernizing Data Lakes and Data Warehouses with Google Cloud

Google Cloud

Taught by: Google Cloud Training

Completed by: KENNEDY KAMANDE WANGARI by March 19, 2024

View this certificate

Building Resilient Streaming Analytics Systems on Google Cloud

Google Cloud

Taught by: Google Cloud Training

Completed by: KENNEDY KAMANDE WANGARI by March 10, 2024

View this certificate

Building Batch Data Pipelines on Google Cloud

Google Cloud

Taught by: Google Cloud Training

Completed by: KENNEDY KAMANDE WANGARI by March 19, 2024

View this certificate

Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud

Taught by: Google Cloud Training

Completed by: KENNEDY KAMANDE WANGARI by March 7, 2024

2 weeks of study, 6-10 hours/week

View this certificate