Launch Your Career in Data Engineering on Google Cloud Platform
By   |  July 29, 2017

This course is now open.

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, you’ll learn how to carry out serverless data analysis and productionize machine learning models. This specialization is designed to give participants a robust hands-on experience and is primarily lab-focused.

Learn how to deliver business value with Big Data and Machine Learning Solutions on Google Cloud Platform. To get up to speed quickly, follow the courses in this specialization.

This specialization is unique in that you’ll actually get to work within the Google Cloud Platform production environment, develop external applications, and achieve an end-of-specialization certificate.

Note for Google Cloud customers and partners: This specialization is the on-demand equivalent to the CPB100 and CPB210 instructor-led training classes. CPB100 is listed as Google Cloud Platform Big Data and Machine Learning Fundamentals and Data Engineering on Google Cloud Platform has been divided into four courses: 1) Leveraging Unstructured Data on Dataproc on Google Cloud Platform, 2) Serverless Data Analysis with Google BigQuery and Cloud Dataflow, 3) Serverless Machine Learning with Tensorflow on Google Cloud Platform, and 4) Building Resilient Streaming Systems on Google Cloud Platform.

This specialization incorporates hands-on labs. You will need a Google account (a Gmail account will work just fine) and will be required to sign up for a Google Cloud Platform free trial account. Your free trial is limited to 12 months or $300 worth in credits, whichever is reached first. For this reason, our specialization is designed to be completed within four weeks.

These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as Google BigQuery, which are used and configured within the Codelabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Topics covered include:

  • Google Cloud Platform Big Data and Machine Learning Fundamentals
  • Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
  • Serverless Data Analysis with Google BigQuery and Cloud Dataflow
  • Serverless Machine Learning with Tensorflow on Google Cloud Platform
  • Building Resilient Streaming Systems on Google Cloud Platform

Details:

  • Length: 5 weeks
  • Effort: 8-12 hours per week
  • Price: Free
  • Subject: Computer Science
  • Level: Intermediate
  • Languages: English

For more information: https://fr.coursera.org/specializations/gcp-data-machine-learning

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