Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.


* Actual course outline may vary depending on offering center. Contact your sales representative for more information.

Learning Objectives

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

Course Info

Not Your Location? Change

Cost: $ 2,400

Length: 4.0 days (32 hours)


For scheduling options, please chat with an expert below.