Overview

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data.

Skills Covered

  • Design and build data processing systems on Google Cloud Platform.
  • Leverage unstructured data using Spark and ML APIs on Cloud Dataproc.
  • Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow.
  • Derive business insights from extremely large datasets using Google BigQuery.
  • Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML.
  • Enable instant insights from streaming data

Who Should Attend

This class is intended for experienced developers who are responsible for managing big data transformations including:

  • Extracting, loading, transforming, cleaning, and validating data.
  • Designing pipelines and architectures for data processing.
  • Creating and maintaining machine learning and statistical models.
  • Querying datasets, visualizing query results and creating reports

Course Curriculum

Prerequisites

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

  • Completed Google Cloud Fundamentals – Big Data and Machine Learning course OR have equivalent experience.
  • 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 basic statistics

 

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Course Modules

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Training Options

Intake: 17-20 May 2022
Duration: 4 Days
Guaranteed: GTR
Modality: VILT
Price:

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Intake: 17-20 May 2022
Duration: 4 Days
Guaranteed: GTR
Modality: ILT
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Intake: 21-24 Jun 2022
Duration: 4 Days
Guaranteed: TBC
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Intake: 21-24 Jun 2022
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
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Intake: 26-29 July 2022
Duration: 4 Days
Guaranteed: TBC
Modality: ILT
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Intake: 26-29 July 2022
Duration: 4 Days
Guaranteed: TBC
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Intake: 16-19 Aug 2022
Duration: 4 Days
Guaranteed: TBC
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Intake: 16-19 Aug 2022
Duration: 4 Days
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Intake: 27-30 Sept 2022
Duration: 4 Days
Guaranteed: TBC
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Intake: 27-30 Sept 2022
Duration: 4 Days
Guaranteed: TBC
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Intake: 18-21 Oct 2022
Duration: 4 Days
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Intake: 18-21 Oct 2022
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
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Intake: 15-18 Nov 2022
Duration: 4 Days
Guaranteed: TBC
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Intake: 15-18 Nov 2022
Duration: 4 Days
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Intake: 20-23 Dec 2022
Duration: 4 Days
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Exam:
Intake: 20-23 Dec 2022
Duration: 4 Days
Guaranteed: TBC
Modality: VILT
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Exam & Certification

Google Cloud Professional Data Engineer Certification

A Professional Data Engineer enables data-driven decision making by collecting, transforming, and publishing data. A data engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A data engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.

Training & Certification Guide

Frequently Asked Questions