Google Cloud Platform Big Data & Machine Learning Fundamentals (CPB100):

Key features

  • 8 hours of instructor-led training
  • Google accredited training
  • Big data and Machine learning on Google Cloud
  • 7 hands on lab exercises on GCP

Exam & certification

What are the prerequisites for this course?

To attend this course, you need to have roughly one (1) year of experience with one or more of the following:


  • A common query language such as SQL

  • Extract, transform, load activities

  • Data modeling

  • Machine learning and/or statistics

  • Programming in Python


This is the first step for google certified professional - Data Engineer certification. Refer to this following page for more details https://cloud.google.com/certification/data-engineer

What do I need to do to unlock my Digital Evolution Orbit certificate?

Online Classroom:



  • You need to attend one complete batch.

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Course Details

Course description

Google Cloud Platform Big Data & Machine Learning Fundamentals (CPB100) will introduce you to the Big Data & Machine Learning capabilities of Google Cloud Platform. It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.

By the end of CPB100 training program, you’ll be able to:



  • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform

  • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform

  • Employ BigQuery and Cloud Datalab to carry out interactive data analysis

  • Choose between Cloud SQL, BigTable and Datastore

  • Train and use a neural network using TensorFlow

  • Choose between different data processing products on the Google Cloud Platform

This course is an essential requirement for professionals who are involved in the processing, modeling, querying, visualizing and reporting of data. Applicable careers include:


  • Data analysts

  • Data scientists

  • Business analysts

  • IT decision makers

  • Analytics Professionals

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