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Google - Firebrand's training for Google Cloud Certified - Professional Data Engineer

Duration:

Only 5 Days

Method:

Classroom / Online / Hybrid

Next date:

27/9/2021 (Monday)

Overview

On this accelerated Google Cloud Certified Professional Data Engineer course, you’ll learn the skills to become a professional data engineer. You’ll build knowledge on how to design and build data processing systems on Google Cloud Platform (GCP), as well as enable data-driven decision making by collecting, transforming and publishing data.

In just 3 days, you'll build your data processing systems so that they focus on security, compliance, reliability and flexibility. You'll also learn how to:

Leverage, deploy and continuously train pre-existing machine learning models
Design for data and application portability to meet current and future business requirements
Operationalise machine learning models

At the end of your course, you'll sit the official exam and achieve your Google Cloud Certified Professional Data Engineer certification. Get your certification at twice the speed through Firebrand’s Lecture | Lab | Review methodology.

Audience

If you're an experienced developer responsible for managing big data transformations, this course is ideal for you.

See prices now to find out how much you could save when you train at twice the speed.

See prices

Seven reasons why you should sit your course with Firebrand Training

Two options of training. Choose between residential classroom-based, or online courses
You'll be certified in just 5 days. With us, you’ll be trained in record time
Our course is all-inclusive. A one-off fee covers all course materials, exams, accommodation and meals. No hidden extras
Pass first time or train again for free. This is our guarantee. We’re confident you’ll pass your course first time. But if not, come back within a year and only pay for accommodation, exams and incidental costs
You’ll learn more. A day with a traditional training provider generally runs from 9am – 5pm, with a nice long break for lunch. With Firebrand Training you’ll get at least 12 hours/day quality learning time, with your instructor
You’ll learn faster. Chances are, you’ll have a different learning style to those around you. We combine visual, auditory and tactile styles to deliver the material in a way that ensures you will learn faster and more easily
You’ll be studying with the best. We’ve been named in Training Industry’s “Top 20 IT Training Companies of the Year” every year since 2010. As well as winning many more awards, we’ve trained and certified 106,802 professionals, and we’re partners with all of the big names in the business

Think you are ready for the course? Take a FREE practice test to assess your knowledge!

Free Practice Test

Benefits

Benefits of Training with Firebrand

Two options of training - Residential classroom-based, or online courses
A purpose-built training centre – get access to dedicated Pearson VUE Select facilities.
Certification Guarantee – pass first time or train again free (just pay for accommodation, exams and incidental costs)
Everything you need to certify – you’ll sit your exam at the earliest available opportunity after the course - either immediately after your classroom course, or as soon as there are slots available, if you've taken it online
No hidden extras – one cost covers everything you need to certify

Curriculum

Part A:

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

Part B:

Module 1- Google Cloud Dataproc Overview
Module 2- Running Dataproc Jobs
Module 3- Integrating Dataproc with Google Cloud Platform
Module 4- Making Sense of Unstructured Data with Google's Machine Learning APIs
Module 5- Serverless data analysis with BigQuery
Module 6- Serverless, autoscaling data pipelines with Dataflow
Module 7- Getting started with Machine Learning
Module 8- Building ML models with Tensorflow
Module 9- Scaling ML models with CloudML
Module 10- Feature Engineering
Module 11- Architecture of streaming analytics pipeline
Module 12- Ingesting Variable Volumes
Module 13- Implementing streaming pipelines
Module 14- Streaming analytics and dashboards
Module 15- High throughput and low-latency with Bigtable

Part C:

Module 1- Understanding the Professional Data Engineer Certification
Module 2- Sample case studies for Professional Data Engineer exam
Module 3- Designing and Building Review
Module 4- Analyzing and Modelling Review
Module 5- Reliability, Policy and Security Review

Exam Track

As part of your accelerated course, you'll sit the following exam at the Firebrand Training centre, covered by your Certification Guarantee:

Google Cloud Certified Professional Data Engineer exam

Format: Multiple choice/multiple select
Duration: 2 hours
Languages: English, Japanese, Spanish and Portuguese
Domains:

Design data processing systems
Build and operationalising data processing systems
Operationalising machine learning methods
Ensure solution quality

What's Included

Your accelerated course includes:

Accommodation *
Meals, unlimited snacks, beverages, tea and coffee *
On-site exams **
Exam vouchers **
Practice tests **
Certification Guarantee ***
Courseware
Up-to 12 hours of instructor-led training each day
24-hour lab access
Digital courseware **

* For residential training only. Doesn't apply for online courses
** Some exceptions apply. Please refer to the Exam Track or speak with our experts
*** Pass first time or train again free (just pay for accommodation, exams and incidental costs)

Prerequisites

There are no formal prerequisites for this course. However, Google recommends you have:

At least three years of industry experience, including one or more years of designing and managing solutions using GCP
One years' experience in one or more of the following:

A common query language such as SQL Extract
Data modelling
Machine learning
A common programming language such as Python.

Unsure whether you meet the prerequisites? Don’t worry. Your training consultant will discuss your background with you to understand if this course is right for you.

Reviews

Here's the Firebrand Training review section. Since 2001 we've trained exactly 106,802 students and asked them all to review our Accelerated Learning. Currently, 96.66% have said Firebrand exceeded their expectations.

Read reviews from recent accelerated courses below or visit Firebrand Stories for written and video interviews from our alumni.

"Another fantastic experience. Thank you so much!"
Anonymous. (6/9/2021 (Monday) to 9/9/2021 (Thursday))

"Our tutor was amazing, he explained everything so well, and made the course really interesting, could not praise him enough!"
AF. (6/9/2021 (Monday) to 9/9/2021 (Thursday))

"Great training given by the tutor. Clear in his explanations and assisting the attendees where needed. Big thumbs up!"
Anonymous. (6/9/2021 (Monday) to 8/9/2021 (Wednesday))

"I re-attended the course online after having attended the classroom based program initially. Enjoyed the session, although very content based, the tutor was good at covering all topics and had the chance to go over it again as revision. Would definitely attend future courses with Firebrand and select the same instructor. Very knowledgeable and thorough with his explanation. Made us think differently throughout the course."
Mohan Simkhada, EOL IT Services. (18/6/2021 (Friday) to 20/6/2021 (Sunday))

"Facilities at training Center are exceptional. We don’t need to worry about anything and can fully concentrate on learning."
Venkatesh Bathineni. (3/9/2021 (Friday) to 5/9/2021 (Sunday))

Course Dates

Start	Finish	Status	Location
24/5/2021 (Monday)	28/5/2021 (Friday)	Finished - Leave feedback	-
27/9/2021 (Monday)	1/10/2021 (Friday)	Wait list	Nationwide
8/11/2021 (Monday)	12/11/2021 (Friday)	Limited availability	Nationwide
20/12/2021 (Monday)	24/12/2021 (Friday)	Open	Nationwide
31/1/2022 (Monday)	4/2/2022 (Friday)	Open	Nationwide
14/3/2022 (Monday)	18/3/2022 (Friday)	Open	Nationwide