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 On Request
Group Training
01 - 02 Nov GTR 09:00 AM - 05:00 PM CST
(8 Hours/Day)

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

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

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 Modules

Module 1: Introducing Google Cloud Platform
  • Google Platform Fundamentals Overview
  • Google Cloud Platform Big Data Products
Module 2: 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
Module 3: 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
Module 4: Scaling Data Analysis
  • Fast random access
  • Datalab
  • BigQuery
  • Lab: Build machine learning dataset
Module 5: Machine Learning
  • Machine Learning with TensorFlow
  • Lab: Carry out ML with TensorFlow
  • Pre-built models for common needs
  • Lab: Employ ML APIs
Module 6: Data Processing Architecture
  • Message-oriented architectures with Pub/Sub
  • Creating pipelines with Dataflow
  • Reference architecture for real-time and batch data processing
Module 7: Summary
  • Why GCP?
  • Where to go from here
  • Additional Resources
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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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