Google Cloud Professional Data Engineer | PDE

Overall rating: 4.9 based on 3,795 reviewsG 4.9/5f 4.9/5
The Google Cloud Professional Data Engineer (PDE) training at WebAsha Technologies in Pune prepares you for the certification that validates the ability to design and build data-processing systems on Google Cloud and prepare data for analysis and machine learning, the work of a data engineer. The course follows the five sections of the Professional Data Engineer exam guide.

You will work through designing data-processing systems, ingesting and processing batch and streaming data (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer), storing data (BigQuery, Cloud Storage, Bigtable, Spanner), preparing and using data for analysis and machine learning (Vertex AI, BigQuery ML), and maintaining, monitoring and automating data workloads.

The course suits aspiring and practising data engineers. WebAsha's trainers and hands-on labs prepare you to sit the Professional Data Engineer exam.
Duration:50 Hrs (Weekdays & Weekend Session)
Mode:Online/Classroom
Certification:Google Cloud Certified: Professional Data Engineer
Institute:WebAsha Technologies
Includes:Expert-Led Sessions, Practice Tests & Attendance Certificate
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Recent Placements Testimonials

Google Cloud Professional Data Engineer | PDE recent reviews

Our learners talk about how the program changed their careers.

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Verified Reviews

Student reviews and success stories

Real feedback from learners now placed across top technology and consulting firms.

akshay-more.webp

Akshay More

Cloud Architect · Vodafone Idea

“Enrolling in Google Cloud [GCP] Professional Data Engineer at WebAsha is one of the best career decisions I have made. The syllabus covered Google Cloud services across compute, storage, IAM and networking in real depth rather than skimming the surface. Live projects gave me the confidence to apply what I learned in a real environment. The learning experience was structured, practical and paced just right for working professionals. I could choose between online and classroom training, and both were equally well organised. Minor scheduling tweaks aside, the training quality and lab practice were genuinely excellent.”
LinkedIn Review
ankit-more.webp

Ankit More

Cloud Architect · Capgemini

“I joined WebAsha for Google Cloud [GCP] Professional Data Engineer to level up my skills, and the experience exceeded my expectations. Every topic was reinforced with practical lab assignments instead of just slides. The cloud labs were available round the clock, so I could practise assignments whenever I had time. The course focused on Google Cloud services across compute, storage, IAM and networking through practical, real-world scenarios. Hands-on practice on real lab systems built genuine confidence, not just theory. Easily a five-star experience that prepared me for both the exam and real work.”
LinkedIn Review
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Harsh Reddy

Cloud Engineer · Hexaware

“The Google Cloud [GCP] Professional Data Engineer program at WebAsha genuinely lived up to its reputation. We worked hands-on with Google Cloud services across compute, storage, IAM and networking, which made every concept stick. The trainers are clearly industry experts and answered even my toughest doubts patiently. I cleared the certification on my first attempt and highly recommend Google Cloud [GCP] Professional Data Engineer at WebAsha.”
Verified Student
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Pallavi Bose

GCP Engineer

“The Google Cloud [GCP] Professional Data Engineer program at WebAsha genuinely lived up to its reputation. Doubt-clearing sessions ran even after class hours, which I really appreciated. We worked hands-on with Google Cloud services across compute, storage, IAM and networking, which made every concept stick. The learning experience was structured, practical and paced just right for working professionals. The knowledge and confidence I gained here continue to help me every day at work.”
LinkedIn Review
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Rohan Gaikwad

Cloud Architect · Oracle

“Completing the Google Cloud [GCP] Professional Data Engineer training at WebAsha was a turning point for me. The learning experience was structured, practical and paced just right for working professionals. Live projects gave me the confidence to apply what I learned in a real environment. We worked hands-on with Google Cloud services across compute, storage, IAM and networking, which made every concept stick. The cloud labs were available round the clock, so I could practise assignments whenever I had time. If you want practical, job-ready skills in Google Cloud [GCP] Professional Data Engineer, WebAsha is the place to be.”
Google Review
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Komal Fernandes

Cloud Architect · Sopra Steria

“After comparing a few institutes, I chose WebAsha for Google Cloud [GCP] Professional Data Engineer, and I am glad I did. The course focused on Google Cloud services across compute, storage, IAM and networking through practical, real-world scenarios. Every topic was reinforced with practical lab assignments instead of just slides. This training accelerated my career growth, and I would gladly recommend it to anyone.”
Facebook Review
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Varun Thomas

Cloud Architect · HCLTech

“Completing the Google Cloud [GCP] Professional Data Engineer training at WebAsha was a turning point for me. The mock interviews and interview preparation sharpened me for real technical rounds. The course focused on Google Cloud services across compute, storage, IAM and networking through practical, real-world scenarios. A big thank you to the trainers and team for such a rewarding learning experience.”
Google Review
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Vinay Thomas

Cloud Engineer · DXC Technology

“Enrolling in Google Cloud [GCP] Professional Data Engineer at WebAsha is one of the best career decisions I have made. Doubt-clearing sessions ran even after class hours, which I really appreciated. What impressed me was how the trainers connected Google Cloud services across compute, storage, IAM and networking to actual production use. A big thank you to the trainers and team for such a rewarding learning experience.”
Verified Student
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Kajal Mathew

Cloud Architect

“After comparing a few institutes, I chose WebAsha for Google Cloud [GCP] Professional Data Engineer, and I am glad I did. Every topic was reinforced with practical lab assignments instead of just slides. The course focused on Google Cloud services across compute, storage, IAM and networking through practical, real-world scenarios. This training accelerated my career growth, and I would gladly recommend it to anyone.”
Verified Student
Career Roadmap

From your first class to placement

A step-by-step path from your first lesson to certification and a job offer.

Step 1 of 8

Learn

  • Live instructor-led training
  • Concept-first curriculum
  • Recorded sessions
Foundations & Core Concepts
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Training Key Features

Google Cloud Professional Data Engineer | PDE training key features

What you get from our Google Cloud Professional Data Engineer | PDE course: a solid foundation in the basics and real-world, skills you can use at work.

  • Post Training Support

  • Real Time Projects : 2

  • Certification & Job Assistance

  • Course Duration : 2 Months

  • Hands-on Training

  • Full Day Lab Access

Our cloud lab

Google Cloud Professional Data Engineer | PDE cloud lab environment

Our Pune classroom practical lab

Program highlights

What learners get at WebAsha Technologies: practical IT training and the skills employers hire for.

Learning Experience

  • In-Depth Practical Training with Real-World Scenarios
  • Choose Between In-Person or Virtual Classes (Flexible Schedules)
  • Guidance from Seasoned IT Professionals
  • Complimentary Intro to Emerging Tech Topics
  • One-on-One Support for Clarifying Concepts
  • Regular Hands-On Exercises and Live Projects
  • Access to a Library of 150+ Training Videos for a Year

Career Development

  • Tailored Job Placement Support with Multiple Interviews
  • Custom Resume Crafting and Interview Coaching
  • Workshops on Professional Skills and Teamwork
  • Affordable Payment Plans with No Extra Fees
  • Help Preparing for International Certifications
  • Personal Career Guidance from Experts
  • Practice Interviews with Industry Leaders
Enroll Now

Why choose WebAsha Technologies

Career-focused IT training with expert mentors, practical labs and vendor certifications, so you stand out when you apply for jobs.

Features Recommended
WebAsha Technologies
Other Institutes
Expert Trainers
10+ Years Experienced Industry Professionals
Freshers or Part-time Instructors
Course Curriculum
Updated for Current Tools (Cybersecurity, Cloud, DevOps, Linux, AI/ML)
Basic or Outdated Content
Hands-on Learning
Real Projects, Labs & Case Studies
Theory-Focused, Limited Practical
Certifications
Vendor-Issued (EC-Council, OffSec, Red Hat, AWS, Microsoft, etc.)
Generic or Unrecognized Certificates
Placement Support
100% Assistance + Resume & Interview Coaching
Limited or No Job Support
Flexible Learning
Classroom & Online Training Options
Rigid Timings, Mostly Classroom-Only
Learning Resources
Lifetime LMS Access, Study Materials, Recorded Sessions
Minimal or No Additional Resources
Batch Size
Small Groups with 1:1 Mentorship
Large, Crowded Batches
Enroll Now

Upcoming batches & schedule

Friday, November 6, 2026

Online / Classroom
Weekday
6:30 PMIST
Enrollment Closed
Enrollment Closed

Saturday, November 7, 2026

Online / Classroom
Weekend
10:00 AMIST
Enrollment OpenMax intake limit is 10

Friday, November 13, 2026

Online / Classroom
Weekday
6:30 PMIST
Enrollment OpenMax intake limit is 10

Friday, November 20, 2026

Online / Classroom
Weekday
8:00 AMIST
Enrollment OpenMax intake limit is 10
Flexible Scheduling

Can't find a schedule that works?

Our counsellors can help you arrange a batch that fits your timing.

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Course insight 1Course insight 2

Google Cloud Professional Data Engineer | PDE Course Training Overview

Prepare for PDE with our Classroom and Online Google Cloud Professional Data Engineer Training at WebAsha Technologies. The course teaches the knowledge and skills tested in the Google Cloud Professional Data Engineer exam.

Training Overview:

The certification validates the ability to design and build data-processing systems on Google Cloud and prepare data for analysis and machine learning. The exam guide has five sections: designing data-processing systems, ingesting and processing data (BigQuery, Dataflow, Dataproc, Pub/Sub), storing data, preparing and using data for analysis and ML, and maintaining and automating data workloads.

Intended Audience:

This course suits aspiring and practising data engineers, ETL developers and analytics engineers who build data-processing systems on Google Cloud.

Topics Covered:

  • Data System Design: Security, reliability, portability and migration planning.
  • Data Ingestion: Batch and streaming pipelines.
  • Data Processing: Dataflow and Dataproc.
  • Data Warehousing: BigQuery data modelling.
  • Data Storage: Bigtable, Spanner and Cloud Storage.
  • ML on Data: Preparing data for AI and ML with BigQuery ML and Vertex AI.
  • Orchestration: Cloud Composer DAGs and job scheduling.
  • Operations: Monitoring, troubleshooting and automation.

Requirements:

Online participants need a stable internet connection and a laptop or desktop. The programme includes trainer-led sessions and practice tests.

Pre-Requisites:

The exam has no formal prerequisites. Google Cloud recommends three or more years of industry experience, including at least one year designing and managing solutions on Google Cloud. SQL and Python help before PDE.

Career Benefits:

Demand for data engineers is growing fast. In India, professionals with the Google Cloud Data Engineer certification typically earn ₹6 LPA to ₹38+ LPA.

Certification path

CategoryTools & Components Covered
WarehouseBigQuery, BigQuery ML
ProcessingDataflow, Dataproc
StreamingPub/Sub
StorageCloud Storage, Bigtable, Spanner
OrchestrationCloud Composer (Airflow)
MLVertex AI
IntegrationData Fusion, Datastream
GovernanceDataplex

Curriculum Google Cloud Professional Data Engineer | PDE

Google Cloud Professional Data Engineer (PDE): 5 exam sections

1. Designing data processing systems (~22%)

This section covers design choices for a data platform: security and compliance, reliability, portability, and how to migrate existing data to Google Cloud.

  • Designing for security and compliance: Cloud IAM and organisation policies, encryption and key management, handling personally identifiable information, data sovereignty
  • Designing for reliability and fidelity: preparing and cleaning data with Dataform, Dataflow and Cloud Data Fusion, pipeline monitoring and orchestration, disaster recovery, data validation
  • Designing for flexibility and portability: mapping business requirements to the architecture, multi-cloud and data residency needs, data cataloguing and discovery
  • Designing data migrations with tools such as BigQuery Data Transfer Service, Database Migration Service, Transfer Appliance and Datastream
2. Ingesting and processing the data (~25%)

The largest section is about pipelines: planning them, building them for batch and streaming data, and putting them into production.

  • Planning the data pipelines: data sources and sinks, transformation and orchestration logic, networking fundamentals, data encryption
  • Building the pipelines with services such as Dataflow, Apache Beam, Dataproc, Cloud Data Fusion, BigQuery, Pub/Sub, Apache Spark and Apache Kafka
  • Batch and streaming transformations, including windowing, late-arriving data and AI data enrichment
  • Deploying and operationalizing the pipelines: job automation and orchestration with Cloud Composer and Workflows, and CI/CD
3. Storing the data (~20%)

Here you choose where data lives and how it is organised, from a single storage service up to a data warehouse, a data lake or a full data platform.

  • Selecting storage systems such as BigQuery, BigLake, AlloyDB, Bigtable, Spanner, Cloud SQL, Cloud Storage, Firestore and Memorystore, with cost, performance and lifecycle in mind
  • Planning for using a data warehouse: the data model, the degree of normalisation, and data access patterns
  • Using a data lake: data discovery, access and cost controls, processing and monitoring
  • Designing for a data platform with Dataplex, BigQuery and Cloud Storage, and building a federated governance model
4. Preparing and using data for analysis (~15%)

This section covers getting data ready for the people and systems that use it: dashboards, AI and ML, and other teams.

  • Preparing data for visualization: precalculated fields, BI Engine and materialised views in BigQuery, troubleshooting slow queries, data masking
  • Preparing data for AI and ML: feature engineering and model training and serving with BigQuery ML, unstructured data for embeddings and retrieval-augmented generation (RAG)
  • Sharing data: rules for sharing, publishing datasets and reports, BigQuery sharing (Analytics Hub)
5. Maintaining and automating data workloads (~18%)

The final section is about keeping data workloads running at a sensible cost, with automation, monitoring and a plan for failures.

  • Optimizing resources: cost against business need, and persistent or job-based clusters such as Dataproc
  • Designing automation and repeatability: directed acyclic graphs (DAGs) for Cloud Composer and repeatable job scheduling
  • Organizing workloads based on business requirements: BigQuery Editions and reservations, interactive or batch query jobs
  • Monitoring and troubleshooting processes with Cloud Monitoring, Cloud Logging and the BigQuery admin panel, including quotas and billing issues
  • Maintaining awareness of failures and mitigating impact: fault tolerance, multi-region or multi-zone jobs, data replication and failover

WebAsha exam practice: the old outline ended with an exam review module, which is not part of Google's exam guide. WebAsha still runs practice questions and full mock exams at the end of the course.

Download the complete course syllabus

Get the full curriculum, modules & exam details delivered to you instantly.

Meet our expert trainers

Learn from certified Google Cloud Professional Data Engineer | PDE experts who work in the industry and teach with practical, real-world examples.

  • Simplified Guidance: Break down Linux concepts for beginners.
  • Hands-On Practice: Engage in labs for command-line and admin tasks.
  • Customized Support: Offer one-on-one help for your goals.
  • Career & Lab Aid: Assist with projects and exam prep.
  • Industry Knowledge: Draw from extensive Red Hat experience.
  • Certified Professionals: Hold RHCSA, RHCE credentials.
  • Real-World Application: Insights from enterprise Linux deployments.
  • Training Success: Over 1,000 students guided annually.
  • Corporate Links: Partnerships with IBM, Accenture, Wipro.
Free Skill Assessment

Self assessment

Test your skills with an online assessment exam and find out how ready you are for your certification.

  • Free mock test
  • Instant score report
  • Mapped to the certification
Learner taking an online skills assessment

Google Cloud Professional Data Engineer | PDE Certification Bootcamp

PDE is a Google Cloud certification. The Professional Data Engineer exam has 40-50 questions in 2 hours, the result is pass or fail, and the certification is valid for 2 years.

  • Expert Trainers: Learn from Google Cloud data engineers.
  • Complete PDE Coverage: All five exam sections: design, ingestion and processing, storage, analysis and ML preparation, and workload automation.
  • Hands-On Data Labs: Build data pipelines on Google Cloud yourself.
  • BigQuery-Focused: Plenty of practice with BigQuery and Dataflow.
  • Exam-Focused: Full mock exams are part of the course.
  • Flexible Batches: Weekday or weekend, online or classroom.
  • Career Support: Help with your resume and placement assistance.
  • Recognition: A professional-level GCP credential.

Google Cloud Professional Data Engineer Exam Details & Format

AttributeDetails
Exam NameProfessional Data Engineer
Exam Code / LevelGoogle publishes no exam code; Professional level
Number of Questions40-50 (multiple choice and multiple select)
Exam Duration2 hours (120 minutes)
Passing ScorePass or fail (Google does not publish a numeric passing score)
Recommended PrepNo prerequisites; Google recommends 3+ years of industry experience, including 1+ year on Google Cloud
Validity2 years
Registration FeeUSD 200 (plus tax where applicable)
Exam ModeOnline proctored or at a test centre

Google Cloud Professional Data Engineer Exam Passing Criteria

The Professional Data Engineer exam has 40-50 multiple-choice and multiple-select questions and lasts 2 hours. Google Cloud reports a pass or fail result and does not publish a numeric passing score. The exam tests your ability to design and build data-processing systems on Google Cloud and prepare data for analysis and machine learning, and the certification is valid for two years. WebAsha Technologies in Pune prepares you with hands-on data labs and full mock exams, so you are ready for your first attempt.

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Job Roles and Salary Outlook After Google Cloud Professional Data Engineer

Data engineering is one of the higher-paid fields in tech, and professionals with the Google Cloud Data Engineer certification are paid well across India.

Job Title Primary Responsibilities Average Salary (INR)
Data Engineer (GCP) Build Google Cloud data pipelines. Fresher: ₹6-11 LPA
Experienced: ₹18-36 LPA
Cloud Data Engineer Engineer cloud data platforms. Fresher: ₹6-11 LPA
Experienced: ₹18-36 LPA
Big Data Engineer Engineer big-data systems. Fresher: ₹6-11 LPA
Experienced: ₹18-38 LPA
Analytics Engineer Build analytics pipelines. Fresher: ₹6-10 LPA
Experienced: ₹15-30 LPA
ETL Developer Build ETL pipelines. Fresher: ₹5-9 LPA
Experienced: ₹13-26 LPA
Data Platform Engineer Run data platforms. Experienced: ₹18-38 LPA

Salaries vary with experience and role. The Google Cloud Professional Data Engineer certification is a useful credential for career growth.


Career Benefits of Google Cloud Professional Data Engineer

The Google Cloud Professional Data Engineer certification shows you can build data-processing systems on Google Cloud and prepare data for analysis and ML. Demand for these skills is growing fast.

  • Recognition: Google Cloud certifications are recognised by employers in many countries.
  • Strong Demand: Companies that keep their data on Google Cloud hire engineers who can build and run its pipelines.
  • Salaries: Certified professionals in India typically earn ₹6 LPA to ₹38+ LPA.
  • Career Growth: It helps you move into senior and specialised roles such as data platform engineer.
  • Industry Standard: Employers that run on Google Cloud value it.
  • Outlook: Demand for data security and governance skills keeps rising.

Why Choose Google Cloud Professional Data Engineer Training at WebAsha Technologies in Pune

Prepare for Google Cloud Professional Data Engineer with WebAsha Technologies. Our programme follows the current Google Cloud Professional Data Engineer exam guide, with trainer-led sessions and practice tests.

  • Expert Trainers: Learn from Google Cloud data engineers.
  • Complete PDE Coverage: All five exam sections: design, ingestion and processing, storage, analysis and ML preparation, and workload automation.
  • Hands-On Data Labs: Build data pipelines on Google Cloud yourself.
  • BigQuery-Focused: Plenty of practice with BigQuery and Dataflow.
  • Exam-Focused: Full mock exams are part of the course.
  • Flexible Batches: Weekday or weekend, online or classroom.
  • Career Support: Help with your resume and placement assistance.
  • Recognition: A professional-level GCP credential.

Program Highlights

What the program includes

Learning, career, certification and placement support in one program.

Learning benefits

  • Structured Curriculum
    Concept-first, job-ready syllabus
  • Hands-On Labs
    Practice every concept live
  • Expert-Led Sessions
    Learn from working professionals

Career benefits

  • Resume Building
    ATS-friendly, recruiter-ready
  • Mock Interviews
    Real interview simulations
  • Job Referrals
    Access to hiring partner network

Certification benefits

  • Globally Recognized
    Industry-standard certifications
  • Exam Preparation
    Targeted, exam-focused coaching
  • Practice Tests
    Unlimited mock assessments

Placement benefits

  • 500+ Hiring Partners
    Active recruiter network
  • Placement Drives
    Regular hiring opportunities
  • Salary Negotiation
    Guidance to maximize offers
Success Stories

Placement success stories

Starting your first IT job or changing direction? Explore the career paths below and think about what you want from your next role. Our team can help you plan the training and preparation to work towards it.

akshay-more.webp

Akshay More

Cloud Architect · Vodafone Idea

“Enrolling in Google Cloud [GCP] Professional Data Engineer at WebAsha is one of the best career decisions I have made. The syllabus covered Google Cloud services across compute, storage, IAM and networking in real depth rather than skimming the surface. Live projects gave me the confidence to apply what I learned in a real environment. The learning experience was structured, practical and paced just right for working professionals. I could choose between online and classroom training, and both were equally well organised. Minor scheduling tweaks aside, the training quality and lab practice were genuinely excellent.”
Google Cloud Certified
ankit-more.webp

Ankit More

Cloud Architect · Capgemini

“I joined WebAsha for Google Cloud [GCP] Professional Data Engineer to level up my skills, and the experience exceeded my expectations. Every topic was reinforced with practical lab assignments instead of just slides. The cloud labs were available round the clock, so I could practise assignments whenever I had time. The course focused on Google Cloud services across compute, storage, IAM and networking through practical, real-world scenarios. Hands-on practice on real lab systems built genuine confidence, not just theory. Easily a five-star experience that prepared me for both the exam and real work.”
Google Cloud Certified
RM

Riya Mehta

Cloud Engineer · Red Hat

Sales ExecutiveCloud Engineer
“After a few years as a Sales Executive, I decided it was time for a real change and joined WebAsha's Google Cloud [GCP] Professional Data Engineer training. Working on real-world implementations helped me understand exactly how things run on the job. The placement team actively shared openings and coached me through resume building and every interview. I transitioned into a Cloud Engineer role at Red Hat, nearly doubling my salary from 7 LPA to 12.5 LPA.”
From Sales Executive to Cloud Engineer
akshay-ansari.webp

Akshay Ansari

Cloud Engineer · Oracle

BPO ExecutiveCloud Engineer
“I started out as a BPO Executive and always wanted a stronger technical career, so I enrolled in the Google Cloud [GCP] Professional Data Engineer program at WebAsha. The placement team actively shared openings and coached me through resume building and every interview. Within a few months I moved from BPO Executive to Cloud Engineer at Oracle, and my package grew from 7 LPA to 12 LPA.”
Cloud Engineer at Oracle - a career turnaround
shreya-chauhan.webp

Shreya Chauhan

Cloud Engineer · NTT Data

Final-Year StudentCloud Engineer
“Coming from a Final-Year Student background, switching felt risky, but WebAsha's Google Cloud [GCP] Professional Data Engineer course gave me a clear path forward. Cloud labs, recorded sessions and after-hours doubt support meant I could learn seriously alongside my job. Today I proudly work as a Cloud Engineer at NTT Data, and the jump from 3.5 LPA to 7 LPA still feels surreal.”
How I became a Cloud Engineer with WebAsha
farhan-kapoor.webp

Farhan Kapoor

Cloud Architect · Cognizant

B.Sc. GraduateCloud Architect
“As a B.Sc. Graduate, I felt stuck in my growth, so I took the leap and signed up for Google Cloud [GCP] Professional Data Engineer at WebAsha. The trainers were patient and genuinely industry-experienced, and the practical focus on Google Cloud services across compute, storage, IAM and networking made everything click. Within a few months I moved from B.Sc. Graduate to Cloud Architect at Cognizant, and my package grew from 2.4 LPA to 5.5 LPA.”
From B.Sc. Graduate to Cloud Architect
KS

Komal Shah

Cloud Architect · Infosys

Desktop Support EngineerCloud Architect
“Coming from a Desktop Support Engineer background, switching felt risky, but WebAsha's Google Cloud [GCP] Professional Data Engineer course gave me a clear path forward. Cloud labs, recorded sessions and after-hours doubt support meant I could learn seriously alongside my job. Within a few months I moved from Desktop Support Engineer to Cloud Architect at Infosys, and my package grew from 5 LPA to 10 LPA.”
From Desktop Support Engineer to Cloud Architect
NK

Nikhil Kadam

Cloud Engineer · Amdocs

Manual TesterCloud Engineer
“I started out as a Manual Tester and always wanted a stronger technical career, so I enrolled in the Google Cloud [GCP] Professional Data Engineer program at WebAsha. The placement team actively shared openings and coached me through resume building and every interview. The trainers were patient and genuinely industry-experienced, and the practical focus on Google Cloud services across compute, storage, IAM and networking made everything click. I landed a Cloud Engineer position at Amdocs with a strong hike from 7 LPA to 14 LPA, and I owe it to WebAsha.”
My journey: Manual Tester to Cloud Engineer
PJ

Prasad Jadhav

Cloud Architect · Rakuten

Operations ExecutiveCloud Architect
“After a few years as a Operations Executive, I decided it was time for a real change and joined WebAsha's Google Cloud [GCP] Professional Data Engineer training. The hands-on labs and live projects around Google Cloud services across compute, storage, IAM and networking rebuilt my confidence from the ground up. Certification preparation, mock tests and repeated mock interviews prepared me for real technical rounds. I transitioned into a Cloud Architect role at Rakuten, nearly doubling my salary from 4 LPA to 8 LPA.”
From Operations Executive to Cloud Architect
View all stories →
Quick Summary

Google Cloud Professional Data Engineer | PDE is a hands-on Google Cloud Platform (GCP) training course by WebAsha Technologies, available online and in classroom with live projects, certification prep and placement support. It suits beginners and professionals, runs about 6 to 12 weeks, and leads to roles such as Cloud Engineer, GCP Solutions Architect, Cloud DevOps Engineer paying roughly 4.0 to 28.0 LPA.

Key takeaways

  • Master Google Cloud through hands-on, practical training.
  • Learn compute engine, gke & cloud run and cloud storage & databases.
  • Work on real-world projects and lab exercises.
  • Earn an industry-recognised certificate.
  • Get placement support for roles paying up to 28.0 LPA.

Google Cloud Professional Data Engineer | PDE: WebAsha vs other options

FeatureWebAsha Google CloudSelf-studyGeneric online course
Live instructor-led trainingYesNoSometimes
Hands-on labs & real projectsYesLimitedLimited
Certification exam preparationYesSelf-managedVaries
Doubt-solving & mentorshipYesNoLimited
Placement assistanceYesNoRare
Industry-recognised certificateYesNoVaries

Related certification exams

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Last updated: 23 June 2026

Google Cloud Professional Data Engineer | PDE FAQs

Google Cloud Professional Data Engineer | PDE is a hands-on training program in Google Cloud Platform (GCP). It takes you from fundamentals to working skills through live sessions, lab practice and real projects, with an industry-recognised certificate and placement support.

IT professionals moving to GCP System administrators Developers and data engineers Freshers targeting a cloud career

Basic IT and networking concepts Familiarity with Linux basics is helpful No prior cloud experience required

You will build practical skills including compute engine, gke & cloud run, cloud storage & databases, vpc networking & security, iam & identity, infrastructure automation and more, applied through hands-on labs and real projects.

The Google Cloud Professional Data Engineer | PDE syllabus spans Google Cloud Platform (GCP), from core concepts to advanced modules, each reinforced with lab exercises and a capstone-style project.

Google Cloud Professional Data Engineer | PDE typically runs about 6 to 12 weeks depending on the track (weekday or weekend), plus lab and project time. Fast-track and extended options are available. Ask for the current batch schedule.

Google Cloud Professional Data Engineer | PDE fees depend on the mode (classroom or live-online) and track, and WebAsha Technologies offers flexible / no-cost EMI options. Request the latest fee details and any running offers from the enquiry form.

Both. You can take Google Cloud Professional Data Engineer | PDE as a live-online program or attend classroom sessions, with the same syllabus, hands-on labs and trainers in either mode.

Yes. Google Cloud Professional Data Engineer | PDE runs in weekday, weekend and evening batches so students and working professionals can train without disturbing their schedule.

Yes. Google Cloud Professional Data Engineer | PDE starts from fundamentals so beginners can follow along, while the advanced modules add depth for experienced learners.

Absolutely. Many learners are working professionals. Flexible weekend, evening and live-online Google Cloud Professional Data Engineer | PDE batches let you upskill without a career break.

Yes. Google Cloud Professional Data Engineer | PDE is project-driven. You practise in real labs and build live projects in Google Cloud Platform (GCP) alongside the theory, so you finish interview-ready.

After completing Google Cloud Professional Data Engineer | PDE you can target roles such as Cloud Engineer, GCP Solutions Architect, Cloud DevOps Engineer, Cloud Administrator, with senior packages reaching around 28.0 LPA depending on experience and location.

Google cloud platform (gcp) roles typically start around 4.0 LPA for freshers and rise to about 28.0 LPA for experienced professionals. Actual packages depend on your skills, role and employer.

Yes. Google cloud platform (gcp) skills are in strong, growing demand across IT services, product companies and startups, offering clear career progression and rising salaries for certified professionals.

Trained Google Cloud professionals are hired by IT-services majors, global capability centres, product companies and startups. Organisations across the industry actively recruit for Google Cloud Platform (GCP).

Yes. WebAsha Technologies provides resume building, mock interviews and referrals to hiring partners as part of dedicated placement support. Outcomes depend on your skills and effort.

Google Cloud Professional Data Engineer | PDE is taught by experienced, industry-certified trainers who bring real project experience into the classroom, so you learn current, job-relevant practices.

Yes. You receive an industry-recognised WebAsha training certificate, and the course also prepares you for the relevant official certification exam.

Yes. Alongside job skills, Google Cloud Professional Data Engineer | PDE includes structured exam preparation, with practice tests and guidance for the recognised Google Cloud certification employers look for.

Yes. You can book a free demo session for Google Cloud Professional Data Engineer | PDE to meet the trainer and experience the teaching style before you enroll.

WebAsha combines hands-on labs, certified trainers, live projects, certification prep and dedicated placement support. It is a practical, job-focused route into Google Cloud Platform (GCP).

Click Enroll Now, request a callback, or message our team on WhatsApp to get the latest batch schedule, fees and available offers.

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