Auldhouse Anywhere

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Google Cloud Platform Fundamentals: Big Data & Machine Learning

Code:
GBDF
Days:
1 Day
Price:
$850 excl GST
Code:
GBDF
Days:
1 Day
Price:
$850 excl GST
Overview:
This one-day instructor-led course introduces participants to the big data capabilities of Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants get an overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud Platform.
Download Course Outline
Course Outline (PDF)

Objectives:

This course teaches participants the following skills:                

  • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform.                  
  • Use Cloud SQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform.                  
  • 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 the Google Cloud Platform.

Prerequisites:

To get the most of out of this course, participants should have:                

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

Register now for this course

Please take special note of the course prerequisites as it is important that you meet these requirements before attending the course. If you have any questions about dates or locations please dont hesitate to make an enquiry contact us on 0800 835 835.

Christchurch

Wellington

Auldhouse Anywhere

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