Google Cloud Platform Big Data and Machine Learning Fundamentals [GCP-440]

Duration not available

Corporate training

Course Description

This Google Cloud Platform Big Data and Machine Learning Fundamentals course introduces students to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.
 

Objectives

Content

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

Audience

Certification

No certification available.

Prerequisites

Before enrolling in this course, participants should 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
 

Schedules

Please contact us for upcoming schedules. Email Us