Google Cloud Big Data and Machine Learning Fundamentals

GCP-100 (1 Day)
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Google Cloud Training Overview

This Google Cloud Big Data and Machine Learning Fundamentals training introduces Google Cloud's data processing and machine learning capabilities.

Location and Pricing

This course is taught as a private online class for teams of 3 or more. All our private online courses are hands-on, instructor-led, and customizable to fit your group’s goals and needs. To receive a customized proposal and price quote, please contact us.

Google Cloud Training Objectives

All students will learn how to:

  • Identify the purpose and value of the key Big Data and Machine Learning products on Google Cloud
  • Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud
  • Employ BigQuery and Cloud Datalab to carry out interactive data analysis
  • Train and use a neural network using TensorFlow
  • Employ ML APIs
  • Choose between different data processing products on Google Cloud

Google Cloud Training Outline

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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
Data Analytics on the Cloud
  • Stepping-stones to the cloud
  • Cloud SQL: your SQL database on the cloud
  • Spark on Dataproc
Scaling Data Analysis
  • Fast random access
  • Datalab
  • BigQuery
Machine Learning
  • Machine Learning with TensorFlow
  • Pre-built models for common needs
Data Processing Architectures
  • Message-oriented architectures with Pub/Sub
  • Creating pipelines with Dataflow
  • Reference architecture for real-time and batch data processing
Conclusion
  • Why GCP?
  • Where to go from here
  • Additional Resources
Request Pricing for Google Cloud Big Data and Machine Learning Fundamentals
Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

GCP-100

Duration:

1 Day

Prerequisites:

  • Basic proficiency with a common query language such as SQL
  • Experience with data modeling and extract, transform, and load activities
  • Application development experience using a common programming language such as Python
  • Familiarity with machine learning and/or statistics

Training Materials:

All GCP training students receive comprehensive courseware.

Software Requirements:

Students must have the Google Chrome web browser and Internet access.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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