Preparing for the Google Cloud Professional Data Engineer Exam by Google via Coursera: Fee, Duration, How to Apply

Quick Facts

particular	details
Medium of instructions English	Mode of learning Self study	Mode of Delivery Video and Text Based

Course overview

The Preparing for the Google Cloud Professional Data Engineer Exam certification course is basically for those students and aspirants who are eligible for the Google cloud professional data engineer exam but couldn’t prepare on their own.

The aim of this Preparing for the Google Cloud Professional Data Engineer Exam training is to help those who are eligible, have faith in their ability to take the exam and to assist those who are not qualified in developing their own training plan. The student enrolled in the course needs to go through assessments, tests, and various other assessment patterns to attain Preparing for the Google Cloud Professional Data Engineer Exam certification at the last of the completion of the course.

The course does not have any fixed deadlines for submissions. The candidate needs to devote complete nine hours in a week to the course if he or she wants to succeed in it. The Preparing for the Google Cloud Professional Data Engineer Exam certification syllabus is entirely based on the advanced level study that gives students a 100% guarantee that they will clear this exam with good rank.

Course and certificate fees

Candidates willing to enrol for this programme can do so by taking 7 days free trial.
Once the trial period ends, candidates are required to pay Preparing for the Google Cloud Professional Data Engineer Exam fees of Rs. 4,091

Preparing for the Google Cloud Professional Data Engineer Exam fees

Course name	Fee in INR
Audit mode	Free
Preparing for the Google Cloud Professional Data Engineer Exam (1 month)	Rs. 4,091
Preparing for the Google Cloud Professional Data Engineer Exam (3 months)	Rs. 8,182
Preparing for the Google Cloud Professional Data Engineer Exam (6 months)	Rs. 12,274

certificate availability

Yes

certificate providing authority

Coursera

Who it is for

Cloud engineer

Students can apply who -

Candidates who have a specialization in Data engineering can apply for the course.
Students who’re with post-work experience in cloud computing or data engineering can apply for the course.

Eligibility criteria

Work experience

The candidate who is going to register for the Preparing for the Google Cloud Professional Data Engineer Exam by Coursera must have a work experience of six months in either cloud computing and data engineering.

Education

The candidate must have a specialization in Data Engineering on Google Cloud Platform to apply in Preparing for the Google Cloud Professional Data Engineer Exam certification course.

Certification qualifying details

Candidates will be able to receive their certificate of completion only after paying a specific fee for that as well as completing the entire programme. Candidates need to complete assigned quizzes, assignments, lab practicals, tests for clearing the Preparing for the Google Cloud Professional Data Engineer Exam programme as for attaining certification.

What you will learn

Machine learning Knowledge of cloud computing

Candidates will learn the following skills and concepts within Preparing for the Google Cloud Professional Data Engineer Exam programme -

Candidates must complete the programme in the time allotted, as well as undergo adequate instruction.
The entire Preparing for the Google Cloud Professional Data Engineer Exam certification syllabus would be built on the essential tenets required for a data engineering test.
Students will be exposed to machine learning frameworks, and they will be practised together with full instruction.
The applicant will gain knowledge of the process's reliability, as well as its use and conductivity.
At the end of the module, the applicant will be exposed to the major data engineering systems, which he or she will finish at the end.
Students would be taught different basic values in order to enhance their effectiveness.
Different models of Cloud computing will be taught to the students that will empower their security and policy reasoning for the exam.

The syllabus

Week 1: Understanding the Professional Data Engineer Certification

Videos

Introduction
Understanding the Professional Data Engineer certification

Readings

Information about the latest Exam Guide
How to Send Feedback
Exam Tips #1
Exam Tips #2

Practice Exercise

Module 1 Assessment

Week 2: Designing Data Processing Systems

Videos

Designing and building
Designing flexible data representations
Design data pipelines
Dataflow pipelines
BigQuery and Dataflow Solutions
Design data processing infrastructure
Pub/Sub solutions
Practice exam questions 01

Readings

Exam Tips #3
Designing Data Processing Systems: Exam Guide Review

Week 3: Building and Operationalizing Data Processing Systems

Videos

Building data processing systems
Cloud Storage, Cloud SQL, Cloud Bigtable
Building and maintaining pipelines
Building and maintaining processing infrastructure
Practice exam questions 02
Case study 01
Challenge Lab 01 Intro
Getting Started with Google Cloud and Qwiklabs

Readings

Building and Operationalizing Data Processing Systems: Exam Guide Review
Case Study 1
Exam Tips #4

Practice Exercise

Designing and Building Data Processing Systems

Week 4: Operationalizing Machine Learning Models

Videos

Analyzing and modeling
Analyzing data
Machine learning
Machine learning and unstructured data
Training and validating
Practice exam questions 03
Case study 02
Modeling business processes for analysis and optimization
Feature engineering and performance
Schema and performance
Pipeline and performance
Dividing work
Bigtable performance
Price estimation
Case study 03
Challenge Lab 02 Intro

Readings

Operationalizing Machine Learning Models: Exam Guide Review
Case Study 2
Case Study 3
Exam Tips #5

Practice Exercise

Operationalizing Machine Learning Models

Week 5: Security, Policy, and Reliability

Videos

Designing for Security and Compliance
Practice exam questions 04
Performing quality control
Ensuring reliability

Readings

Ensuring Solution Quality: Exam Guide Review
Exam Tips #6

Practice Exercise

Preparing for Reliability, Policy, and Security

Week 6: Resources and Next Steps

Videos

Resources and next steps
Practice exam quiz
Resources

Readings

Instructions of GRADED and UNGRADED Practice Exam Quizzes
Exam Tips #7
Sample Exam Quiz Questions

Practice Exercises

Ungraded Practice Exam
Graded Practice Exam
Course Summary Quiz - Prep for the Exam

Admission details

Follow the below-mentioned procedure to get enrolled in Preparing for the Google Cloud Professional Data Engineer Exam online course.

Step 1: Check complete course details on the course webpage.

Step 2: After checking complete information, go for the option “enrol for free”.

Step 3: For enrolling, candidates need to register first with Coursera with any account in Google, Facebook or Linkedin.

Step 4: Take on the option “try for free”, candidates can try the course for free for seven days.

Step 5: But, as soon as the trial period ends, candidates need to make fee payment for the same to continue learning ahead as well as be eligible to get the certificate of completion.

Step 6: The candidate is successfully registered for pursuing the Preparing for the Google Cloud Professional Data Engineer Exam certification.

Scholarship Details

In order to attain financial aid for the Preparing for the Google Cloud Professional Data Engineer Exam training, candidates need to first enrol themselves and then later application will take time of 15 days to get reviewed and later on the candidate will be granted financial aid.

How it helps

The candidate will get the assured and quality education that they need for clearing the Google professional data engineer exam as one of the main Preparing for the Google Cloud Professional Data Engineer Exam certification benefits. The course is designed for those students who can’t prepare on their own and need some additional support for clearing the examination. Candidates will get the chance to complete assignments, tests to assure that they’re going on the right path of the syllabus that is required for the exam.

The goal of this course and the Preparation for the Google Cloud Technical Data Engineer Test training is to support those who are eligible in designing their own training plan and to help someone who is not eligible to gain confidence in their abilities to take the exam. The qualification syllabus for Studying for the Google Cloud Technical Computer Engineer Exam is solely based on advanced-level study, meaning that students can pass this exam with flying colours.

Candidates will achieve confidence in themselves that is so required to clear the paper along with the learning. Preparing for the Google Cloud Professional Data Engineer Exam certification benefits will be gained by the students in the form of certification at the last of the study period.