Training Level


Training Duration (Days)


Training Mode

Physical classroom


  1. Completed Google Cloud Fundamentals: Big Data & Machine Learning course OR have equivalent experience
  2. Basic proficiency with common query language such as SQL
  3. Experience with data modeling, extract, transform, load activities
  4. Developing applications using a common programming language such as Python Familiarity with Machine Learning and/or statistics

Career Track

Data Engineer

Industry Skill

Accreditation Body

Google Cloud

Skill Outcome

By the end of this course, you will be able to:

  1. Design and build data processing systems on Google Cloud Platform
  2. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow
  3. Derive business insights from extremely large datasets using Google BigQuery
  4. Train, evaluate and predict using machine learning models using Tensorflow and Cloud ML
  5. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc
  6. Enable instant insights from streaming data