Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud Platform Big Data and Machine Learning Fundamentals Certification Training Course Overview

Enroll for the 2-day Google Cloud Platform Big Data and Machine Learning Fundamentals Training course from Koenig Solutions.  In this course you will learn about Big Data and Machine Learning capabilities of Google Cloud Platform (GCP).

Through a blend of hands-on labs and interactive lectures, you will learn overview of the Google Cloud platform and a detailed view of the data processing and machine learning capabilities.

Target Audience:

This class is intended for the following:

  • Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform.
  • Individuals are responsible for designing pipelines and architectures for data processing, creating and maintaining machine learning and statistical models, querying datasets, visualizing query results and creating reports.
  • Executives and IT decision-makers evaluating Google Cloud Platform for use by data scientists.

Learning Objectives:

After completing this course, you will be able to:

  • Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
  • Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
  • Employ BigQuery and Cloud SQL to carry out interactive data analysis.
  • Choose between different data processing products in Google Cloud.
  • Create ML models with BigQuery ML, ML APIs, and AutoML.

 

 

Google Cloud Platform Big Data and Machine Learning Fundamentals (16 Hours) Download Course Contents

Live Virtual Classroom Fee For Both Group Training & 1-on-1 Training On Request
Group Training
02 - 03 Aug 09:00 AM - 05:00 PM CST
(8 Hours/Day)

06 - 07 Sep 09:00 AM - 05:00 PM CST
(8 Hours/Day)

1-on-1 Training (GTR)
4 Hours
8 Hours
Week Days
Week End

Start Time : At any time

12 AM
12 PM

GTR=Guaranteed to Run
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
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Course Prerequisites
  • 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 Python
  • Familiarity with machine learning and/or statistics

 

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