Course_Outline (){

Google Cloud Platform Fundamentals: Big Data and Machine Learning

Schedules (){
09.00 AM - 05.15 PM
Module 1:
Introducing Google Cloud Platform
  • Google Cloud Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products
Module 2:
Fundamentals of Google Cloud Platform
  • CPUs on demand (Compute Engine)
  • A global filesystem (Cloud Storage)
  • CloudShell
Module 3:
Data Analysis on the Cloud
  • Stepping-stones to the cloud
  • Cloud SQL: your SQL database on the cloud
  • Spark on Dataproc
Module 4:
Scaling Data Analysis
  • Fast Random access
  • Datalab
  • BigQuery
Module 5:
Machine Learning
  • Machine Learning with TensorFlow
  • Pre-built models for common needs
Module 6:
Data Processing Architecture
  • Message-oriented architectures with Pub/Sub
  • Creating pipelines with Dataflow
  • Reference architecture for real-time and batch data processing
Closing Session:
Continue learning with Google Cloud
  • Why GCP?
  • Where to go from here
  • Additional Resources


Get_Ready (){

Find your location and date for the next Cloud OnBoard session

Cloud OnBoard | NORTHAM

Additional events coming soon

} Cloud OnBoard | EMEA

Additional events coming soon

} Cloud OnBoard | JAPAC

Additional events coming soon