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

Duration

Duration:

Only 5 Days

Method

Method:

Classroom / Online / Hybrid

Next date

Next date:

8/8/2022 (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.

Benefits

Seven reasons why you should sit your course with Firebrand Training

  1. Two options of training. Choose between residential classroom-based, or online courses
  2. You'll be certified fast. With us, you’ll be trained in record time
  3. Our course is all-inclusive. A one-off fee covers all course materials, exams**, accommodation* and meals*. No hidden extras.
  4. 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
  5. 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
  6. 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
  7. 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 over 100,000 professionals
  • * For residential training only. Doesn't apply for online courses
  • ** Some exceptions apply. Please refer to the Exam Track or speak with our experts

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:

Google Cloud Certified Professional Data Engineer exam

  • Format: Multiple choice/multiple select
  • Duration: 2 hours
  • Languages: English, Japanese, Spanish and Portuguese
  • Domains:
    1. Design data processing systems
    2. Build and operationalising data processing systems
    3. Operationalising machine learning methods
    4. 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 124,229 students and asked them all to review our Accelerated Learning. Currently, 96.62% 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.


"Knowledgeable instructor with lots of experience, using real world examples to make it relatable and focused."
Caroline Yardley. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun. Highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"Intense, clear and lots of fun, highly recommend."
Anonymous. (26/4/2022 (Tuesday) to 29/4/2022 (Friday))

"The instructor did a good work in delivering the material. Very helpful and willing to go the extra mile to support the students."
KB. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

"It is was proper challenge, but the instructor provided the content with a flamboyant and upbeat style and despite the sometimes try nature of the material, the instructor was able to keep us all well engaged. Probably the best trainer I have had."
Michael Ross, NHS England. (25/4/2022 (Monday) to 30/4/2022 (Saturday))

Course Dates

Start

Finish

Status

Location

Book now

21/2/2022 (Monday)

25/2/2022 (Friday)

Finished - Leave feedback

-

 

27/6/2022 (Monday)

1/7/2022 (Friday)

Wait list

Nationwide

 

8/8/2022 (Monday)

12/8/2022 (Friday)

Limited availability

Nationwide

 

19/9/2022 (Monday)

23/9/2022 (Friday)

Open

Nationwide

 

31/10/2022 (Monday)

4/11/2022 (Friday)

Open

Nationwide

 

12/12/2022 (Monday)

16/12/2022 (Friday)

Open

Nationwide

 

Latest Reviews from our students