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Contact Giovanni Lanzani, if you want to know more about custom data & AI training for your teams. He’ll be happy to help you!
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Get to know the fundamentals of Google Cloud for Big Data & Machine Learning

Before working with Google Cloud Platform (GCP), it is important to have the right skills and knowledge. This 1-day Foundation level training is all you need to get started with Big Data and Machine Learning on GCP.

The training offers a combination of presentations, demos, and hands-on labs that introduce you to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). You will learn to process Big Data at scale for analytics and Machine Learning. You will explore the fundamentals of building new machine learning models and creating streaming data pipelines and dashboards.

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What you'll learn

Perfect for Developers, sysadmins, and Solution Architects

  • The value of Google Cloud Platform for Big Data & Machine Learning
  • How to process Big Data at scale for analytics
  • How to leverage GCP service for Machine Learning
  • How to create streaming data pipelines and dashboards

The schedule


Introducing Google Cloud Platform

  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products

Compute and Storage Fundamentals

  • CPUs on demand (Compute Engine)
  • A global filesystem (Cloud Storage)
  • CloudShell
  • Lab: Set up a Ingest-Transform-Publish data processing pipeline

Data Analytics on the Cloud

  • Stepping-stones to the cloud
  • Cloud SQL: your SQL database on the cloud
  • Lab: Importing data into CloudSQL and running queries
  • Spark on Dataproc
  • Lab: Machine Learning Recommendations with Spark on Dataproc

Scaling Data Analysis

  • Fast random access
  • Datalab
  • BigQuery
  • Lab: Build machine learning dataset

Machine Learning

  • Machine Learning with TensorFlow
  • Lab: Carry out ML with TensorFlow
  • Pre-built models for common needs
  • Lab: Employ ML APIs

Data Processing Architectures

  • Message-oriented architectures with Pub/Sub
  • Creating pipelines with Dataflow
  • Reference architecture for real-time and batch data processing


  • Why GCP?
  • Where to go from here
  • Additional Resources

learning journey

Data Engineering Learning Journey

meet your trainer

Daniel van der Ende

Data Gandalf
Flexible delivery

The Right Format For Your Preferred Learning Style

In-Classroom & In-Company Training
Online, Instructor-Led Training
Hybrid and Blended Learning
Self-Paced Training
Get in touch with the experts

Have any questions?

Contact Giovanni Lanzani, our Managing Director of Learning and Development, if you want to know more. He’ll be happy to help you!

Call me back

You can reach him out by phone as well at +31 6 51 20 6163

Course: Google Cloud Platform Fundamentals: Big Data & Machine Learning Training

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