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Google Cloud Fundamentals: Big Data and Machine Learning (GCF-BDM)

 

Course 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.

Who should attend

This class is intended for the following:

  • Data analysts, Data scientists, Business analysts getting started with Google Cloud Platform.
  • Individuals 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.

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 Python.
  • Familiarity with machine learning and/or statistics.

Course 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.

Course Content

  • Module 1: Introducing Google Cloud Platform
  • Module 2: Compute and Storage Fundamentals
  • Module 3: Data Analytics on the Cloud
  • Module 4: Scaling Data Analysis
  • Module 5: Machine Learning
  • Module 6: Data Processing Architectures
  • Module 7: Summary
Online Training

Duration 1 day

Classroom Training

Duration 1 day

Schedule

English
1 hour difference
Online Training Time zone: Eastern European Summer Time (EEST)
Online Training Time zone: British Summer Time (BST)
Online Training This is an English language FLEX course.
Time zone: British Summer Time (BST)
Online Training This is an English language FLEX course.
Time zone: British Summer Time (BST)
Online Training This is an English language FLEX course.
Time zone: UTC+3
2 hours difference
Online Training This is an English language FLEX course.
Time zone: Gulf Standard Time (GST)
Online Training This is an English language FLEX course.
Time zone: Greenwich Mean Time (GMT)
3 hours difference
Online Training This is an English language FLEX course.
Time zone: IST
Online Training This is an English language FLEX course.
Time zone: IST
Online Training This is an English language FLEX course.
Time zone: IST
Online Training This is an English language FLEX course.
Time zone: IST
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).
Africa
Egypt
Cairo Course language: English
Middle East
Qatar
Doha Course language: English
United Arab Emirates
Dubai This is an English language FLEX course.
Time zone: Gulf Standard Time (GST)
This is a FLEX course, which is delivered both virtually and in the classroom. All FLEX courses are also Instructor-led Online Trainings (ILO).