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MICRO DEGREE

Google Cloud Professional Data Engineer Certification

Certified Google Cloud Professional Data Engineer

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100% LIVE Interactive Classes

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Certified Google Cloud Professional Data Engineer

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100% LIVE Interactive Classes

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Basic Info

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Application closes on:20 May 2026
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money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $200/month

What is in it for you?

Become a Google Cloud Data Engineer with this comprehensive 4-week course. You'll master the essential skills to design, build, and maintain scalable, reliable, and secure data pipelines on Google Cloud Platform. Learn from industry experts, work on real-world projects, and prepare for the Google Cloud Professional Data Engineer certification.
100% Live Classes

100% Live Classes 100% Live Classes

Instructor-led Live Sessions Instructor-led Live Sessions

Attend 4 weeks of instructor led live classes from the top 1% industry experts

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Projects & Case Studies

Projects & Case Studies

Projects & Case Studies

Gain hands-on experience with projects and real-world case studies for impactful learning.

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Verified Certificate

Verified Certificate

Verified Certificate

Earn a industry recognized certificate and kick start your career

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Session Recordings

Session Recordings

Session Recordings

Revisit older chapters anytime with recorded sessions

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Flexible Schedule

Flexible Schedule

Flexible Schedule

Choose live classes from different cohorts that fit your availability.

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Hands-on Classes

Hands-on Classes

Hands-on Classes

Hands-on classes to enhance your learning experience

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$1600.00$800.00
limited time offer50% OFF

money back guarantee100% Moneyback Guarantee

Grab your slot before the offer expires

$1600.00$800.00
limited time offer50% OFF

Reserve your spot today!

1
2

Basic Info

Select Offers

Application closes on:20 May 2026
Get instant access of pre-course material!

Full Name*
Email*
WhatsApp Number*
Checkbox EdYoda

Share the program details with me overWhatsappIcon

money back guarantee100% Moneyback Guarantee

Available in 4 monthly installments at $200/month

Learn from Top 1%

Sr. Managers, VPs, CXOs, Directors & Founders from companies shaping the future.

Industry Experts

Curriculum

Duration: 4 weeks
Max Batch Size: 15 persons
Live Sessions Schedule
dateSat - Sun (Weekends Only) timeTiming 7:00 AM - 9:00 AM / 8:30 AM - 10:30 AM / 11:00 AM - 1:00 PM / 5:00 PM - 7:00 PM / 7:30 PM - 9:30 PM EST

1. Introduction to Google Cloud and Data EngineeringDownArrow
Sub-topics Covered
  • Overview of Google Cloud Platform (GCP)
  • Role of a Data Engineer in GCP Ecosystem
  • Core GCP Services for Data Engineering
  • Understanding the Google Cloud Certification Path
  • Key Responsibilities of a Google Cloud Data Engineer
  • Introduction to Professional Data Engineer Exam
2. Data Storage and Databases in Google CloudDownArrow
Sub-topics Covered
3. Data Ingestion and IntegrationDownArrow
Sub-topics Covered
4. Data Processing using BigQuery and DataflowDownArrow
Sub-topics Covered
5. Machine Learning and Advanced AnalyticsDownArrow
Sub-topics Covered
6. Security, Compliance, and Data GovernanceDownArrow
Sub-topics Covered
7. Monitoring, Troubleshooting, and OptimizationDownArrow
Sub-topics Covered
8. Designing Scalable and Reliable Data SolutionsDownArrow
Sub-topics Covered

Mentors

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20+ Years, Sr. Director, PayTm

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Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Certificate

Tools Covered

tool

Course Includes

course includes

LIVE Interactive Sessions

course includes

Quizzes, Assignments & Projects

course includes

Study Materials & Session Recordings

course includes

Certificate

Course Pre-requisites

  • pre-requisiteWorking knowledge of SQL for querying and manipulating relational data
  • pre-requisiteBasic proficiency in Python programming
  • pre-requisiteFundamental understanding of cloud computing concepts (VMs, storage, networking)
  • pre-requisiteFamiliarity with data engineering concepts such as ETL, batch and streaming processing

Outcomes

  • skillsDesign and build scalable data pipelines on Google Cloud using Dataflow, Dataproc, and Pub/Sub
  • skillsImplement data lake and data warehouse architectures using BigQuery and Cloud Storage
  • skillsDevelop ETL/ELT workflows for both batch and streaming data processing on GCP
  • skillsApply data governance, security, and compliance best practices using Data Catalog, IAM, and DLP API
  • skillsOptimize data pipeline performance, cost efficiency, and reliability for production workloads
  • skillsBuild and deploy machine learning models using BigQuery ML and AI Platform
  • skillsAnalyse and monitor data systems using Cloud Monitoring, Logging, and Stackdriver
  • skillsPrepare for and pass the Google Cloud Professional Data Engineer certification exam

Projects You Will Build

Practical, enterprise-grade projects that reflect real industry challenges

01

Retail Sales Analytics Pipeline

Build an end-to-end batch and streaming data pipeline to ingest, transform, and analyze retail sales data. Use Cloud Storage for data lake ingestion, Pub/Sub and Dataflow for real-time event processing, and BigQuery as the data warehouse for analytical queries. Create dashboards in Looker Studio to surface business insights such as sales trends and inventory optimization.

02

IoT Sensor Data Platform

Design a real-time data platform to ingest and process IoT sensor data from thousands of connected devices. Leverage Pub/Sub for message ingestion, Dataflow for stream processing and windowed aggregations, and BigQuery for long-term analytics. Integrate BigQuery ML to build anomaly detection models that trigger predictive maintenance alerts.

03

Financial Fraud Detection System

Develop a secure, real-time data pipeline to detect fraudulent activities in financial transactions. Use Dataflow for streaming fraud scoring, BigQuery ML for training and deploying predictive classification models, and implement security controls using IAM roles and the Data Loss Prevention API. Apply data governance practices with Data Catalog to ensure compliance with financial regulations.

background certification section

for successfully completing the 'Google Cloud Professional Data Engineer Certification' course conducted from 21 Apr 2026 to 19 May 2026

Add a Industry Recognized
Certificate To Your Resume

Industry Recognized
Certificate

Learn the best from the best

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    Career Advancements

    Elevate your career with a respected certificate

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    Industry Respect

    Gain credibility in the field

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    Networking

    Connect with experts and peers

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    Opportunities

    Attract exciting job prospects and promotions

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CertificateImageMob

for successfully completing the 'Google Cloud Professional Data Engineer Certification' course conducted from 21 Apr 2026 to 19 May 2026

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Limited time$1600.00
$800.00
moneyback guarantee

100% Moneyback Guarantee

Limited time offer$1600.00$800.00
moneyback guarantee

100% Moneyback Guarantee

Top 1% Recruiters - Get interview access to 550+ Companies

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Frequently Asked Questions

Everything you need to know about the course

1What prior experience do I need before enrolling in this course?
+

You should have working knowledge of SQL and Python, a basic understanding of cloud computing concepts, and some familiarity with data engineering fundamentals such as ETL processes and batch vs. streaming data. No prior Google Cloud experience is required, as the course covers GCP services from the ground up.

2What key topics and GCP services does the curriculum cover?
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The curriculum covers designing data pipelines with Dataflow and Dataproc, messaging with Pub/Sub, data warehousing with BigQuery, data lake architecture with Cloud Storage, machine learning with BigQuery ML and AI Platform, data governance with Data Catalog and IAM, security with DLP API, and performance optimization for production workloads.

3How much time should I dedicate per week to complete the course?
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The course is designed to be completed in 4 weeks. You should plan to dedicate approximately 10-15 hours per week, which includes video lectures, hands-on labs, project work, and certification exam preparation.

4What kind of hands-on projects will I work on?
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You will complete three industry-relevant projects: a retail sales analytics pipeline, a real-time IoT sensor data platform, and a financial fraud detection system. Each project involves building end-to-end data solutions using core GCP services like Dataflow, Pub/Sub, BigQuery, and BigQuery ML.

5How will this course impact my career as a data engineer?
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This course prepares you for the Google Cloud Professional Data Engineer certification, one of the most sought-after cloud certifications in the industry. Completing the course and earning the certification qualifies you for roles such as Data Engineer, Big Data Engineer, and Cloud Data Architect, with strong demand across industries.

6What tools and technologies will I use throughout the course?
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You will gain hands-on experience with Google Cloud Platform services including BigQuery, Cloud Dataflow, Cloud Dataproc, Cloud Pub/Sub, Cloud Storage, BigQuery ML, Data Catalog, and IAM. You will also use Python and SQL extensively for building and querying data pipelines.

7Micro Degree course is live or recorded?
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The Micro Degree course is an online LIVE course, where LIVE sessions will be conducted online on our Classroom platform. Prior to the start of the course, you'll receive preparatory material in the form of recorded content which can be access on the same platform.

8In what language will the course be taught?
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In this course instructors will use English language for teaching.

9How do I access the course details and learning material after registration?
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Upon successful registration, you will receive a confirmation email on your registered email ID. In this email you will receive login details for your newly created account on the Edyoda Classroom platform (https://classroom.edyoda.com). Additionally, you will receive a PDF guide containing step-by-step instructions on how to utilize the platform to access live sessions and learning materials.

10 Who are the instructors, and what is their experience?
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Our instructors are the industry experts with a minimum working experience of 10 years with a strong technical and teaching background. They bring industry knowledge and practical expertise to the course.

11Will there be assignments, assessments, or a final project in the course?
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Yes, the course includes online assignments, quizzes, and a final project to reinforce your learning and assess your proficiency in Google Cloud Professional Data Engineer Certification.

12Can I interact with instructors and fellow students during the course?
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Yes, you can interact with instructors and fellow students through discussion forums, live Q&A sessions. We encourage a supportive learning community.

13What is 100% moneyback guarantee?
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We offer a 100% money-back guarantee to ensure your complete satisfaction. If you're not satisfied, you can request a full refund within 3 days of purchase or before the second session, whichever comes earlier. Simply contact our support team(support@edyoda.com) with your purchase details, such as the order ID or email address, and share your reason for the refund. Requests made after 3 days or after the second session will not be eligible for a refund. There are no hidden charges, you will receive the full amount paid. Refunds are processed within 7–10 business days and credited back to your original payment method.

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