Google Cloud Professional Data Engineer - A Complete Guide

Name: Google Cloud Professional Data Engineer - A Complete Guide
Rating: 4.1 (90 reviews)

Master GCP Data Engineering with 100+ Hands-on Labs covering Key Modules for All Big Data Professionals.

Created byCloud & AI Analytics

Last updated 1/2026

English

What you'll learn

Start your journey on Google Cloud to become a Cloud Certified Professional Data Engineer
Knowledge on all the essential concepts related to data engineers like Database(SQL & NoSQL), BigData, Apache Beam, Apache Airflow and Apache Spark.
Brief Hands-on on GCP Core services like Compute engine, Kubernetes engine, App engine, Cloud Run and Cloud Functions.
Understand the best practices for building available, scalable, resilient and secure data pipelines on the Google Cloud Platform
You will acquire professional level data engineering skills in GCP like Cloud SQL, Cloud DataStore/Firestore, BigQuery, Memorystore and Cloud Storage.
You will acquire professional level data engineering skills in google cloud like Cloud PubSub, Cloud Dataproc, Cloud Dataflow,DataFusion, BigTable and Composer.
Hands on Practical Lab Sessions in Services like Cloud Data Prep, Data Catalog and Looker Studio
Learn how to create big data ETL/ELT pipelines using Google Cloud platform
You will learn how to monitor pipelines using Cloud Monitor, Cloud Logging and Error Reporting with a real-world project.
Data-sets, Script files and command file used in lectures are available in resources tab. This will save your typing efforts.
Implement real life end-to-end solutions by combining latest available services in Google Cloud Platform.
Hands on Practical Lab Sessions
Ideal for candidates aspiring to clear Professional Data Engineer exam

Course content

39 sections • 360 lectures • 27h 9m total length

Course Structure Outline4:59
Your Instructor's Profile0:24
Course Resources0:06
Important Message!0:17
Get connected! Join the Learning Community0:20
To Enhance Your Learning Journey0:24

Learning Objectives0:16
Google Cloud - Regions and Zones8:19
This video explains what is Google Cloud Regions and Zones
Google Cloud - Resource Hierarchy4:29
This video explains what is GCP Resource Hierarchy
Lab On GCP Console and Services Offered5:02
This video explains what is GCP Console and what are the services offered.
Lab on Google Cloud Project ID & Project Name7:51
This video explains what is GCP Project and how to create & work with it.
Google Cloud - Cloud Shell & Cloud Editor2:58
This video explains what is GCP Cloud Shell and Editor
Lab on Cloud Shell & Cloud Editor3:20
This video explains the hands on GCP Cloud Shell and Editor
Lab on Cloud Shell & Cloud Editor[Contd]6:37
Google Cloud - Identity & Access Management (IAM)10:24
This video explains the GCP's IAM - Identity and Access Management
Lab on Google Cloud - IAM & Roles10:50
Google Cloud - Service Account & Types5:44
This video explains the GCP Service account and its Types.
Lab on Google Cloud - Service Account5:04
This video explains the lab on Google Cloud - Service Account
Google Cloud - Organization Policy2:31
Google Cloud Networking2:02
We Need You!0:23
Knowledge Check

Learning Objectives0:26
Managed Services in Google Cloud20:28
This Section explains different Managed Services available in Google Cloud
Google Cloud - Compute Engine(IAAS)11:58
This video gives a brief introduction on Google Compute Engine
Lab on Google Cloud - Compute Engine6:53
This video explains how to create compute engine instance using console
Google Cloud - App Engine(PAAS)7:53
This video gives a brief introduction on Google App Engine
Lab on Google Cloud App Engine - Python6:08
Google Cloud - Kuberentes Engine(IAAS)8:06
This video explains a what is Google Kubernetes Engine
Lab on Google Cloud - Kubernetes Engine (CLI)7:13
This video explains a lab on GKE using CLI
Google Cloud - Cloud Run(CAAS)11:49
This video explains Cloud Run and practical demo on Console
Lab on Google Cloud Cloud Run - Python6:29
This video explains Cloud Run and practical demo - Python using CLI
Google Cloud - Cloud Run Function (FAAS)12:28
This video explains what is Cloud Functions and how to deploy it in console.
Lab on Google Cloud Run Function - Python6:52
This video explains what is Cloud Functions and how to deploy it in using client - Python.

Learning Objectives0:36
Overview on Google Cloud Storage5:08
This video explains the different storage options and overview on cloud storage
Google Cloud Storage Hierarchy6:08
This video will help you to understand the hierarchy of cloud storage.
Features of Cloud Storage6:37
This video explains the features of cloud storage buckets.
Lab on Creating Cloud Storage Bucket - Console10:41
This video explains how to create cloud storage bucket using console - GUI
Cloud Storage Classes - Types5:30
This video explains the types of cloud storage classes
Lab on Creating Cloud Storage Bucket - gsutil (CLI) Commands16:31
This video explains how to work with Cloud Storage bucket using CLI - gsutil
Lab on Object Life Cycle Management - Cloud Storage Bucket8:05
This video explains the important concept of Cloud Storage bucket - Object Life Cycle Management
Lab on Object Versioning - Cloud Storage Bucket13:20
This video explains the lab on object versioning in cloud storage buckets
Lab on Signed Temporary URL access - Cloud Storage Bucket9:34
This video explains on SignedURL - temporary access in storage buckets
Overview on Cloud IAM roles - Cloud Storage bucket8:33
This video explains different types of roles in bucket. It also explains
1. Uniform Bucket level access
2. Access Control Lists(ACLs)
3. Making bucket/object public - enabling public access at bucket level and at object level.
Lab on on Cloud IAM roles - Cloud Storage bucket8:33
This video explains labs on different types of roles in bucket. It also explains
1. Uniform Bucket level access
2. Access Control Lists(ACLs)
3. Making bucket/object public - enabling public access at bucket level and at object level.
Lab on Bucket Retention policy - Cloud Storage Bucket(N)14:31
Lab on Creating Cloud Storage Bucket - Client library(Python)11:33
This video explains how to work with bucket using client library - Python
Pricing on Cloud Storage buckets1:41
Popular Use Cases1:47
Soft Delete in Storage bucket(N)12:56
Knowledge Check

Requirements

Google Cloud account Free trial - (valid debit or credit card)
Basic understanding of Python, PySpark, Linux and SQL
You have an attitude to learn while having fun

Description

[UPDATED - 2026] ONLY COURSE YOU NEED TO GET READY for Google Cloud (GCP) Certified Professional Cloud Data Engineer Exam!

Immerse in a classroom style coaching of GCP cloud data engineering certification topics. This course has 26+ Hours of insanely great video contents with 100+ hands-on Lab (Most Practical Course)

Cloud is the future and GCP is Fastest growing Public cloud. 87 percentage of Google Cloud certified individuals are more confident about their cloud skills.

Google Cloud Platform is one of the fastest-growing cloud service platforms offered today that lets you run your applications and data workflows at a 'Google-sized' scale.

Google Cloud Certified Professional Cloud Data Engineer certification is one of the most highly desired IT certifications out today. It is also one of the most challenging exams offered by any cloud vendor today. Passing this exam will take many hours of study, hands-on experience, and an understanding of a very wide range of GCP services.

Have a look at course curriculum, to see depth of Course coverage. Boost your confidence and career with this highly sought-after certification.

This course also comes with:

Lifetime access to all course material & updates
Q&A Section
Udemy Certificate of Completion

Don't wait another moment—your journey starts here! Enroll NOW, and I can't wait to welcome you inside the course! Let's embark on this exciting learning journey together.

Best Wishes,

Vignesh Sekar.

Who this course is for:

You want to start your Cloud Journey with Google Cloud Platform
You want to Clear Google Cloud Professional Data Engineer certification
You want to learn Deep Internals of Data Engineering components in Google Cloud.

Google Cloud Professional Data Engineer - A Complete Guide

What you'll learn

Explore related topics

Course content

Course Introduction6 lectures • 7min

Overview On Cloud10 lectures • 38min

Overview on Google Cloud Fundamentals15 lectures • 1hr 16min

Getting Started With Google Cloud Platform - Cloud Service Models12 lectures • 1hr 47min

Overview on Data Engineering9 lectures • 45min

Storage Services in Google Cloud2 lectures • 5min

Google Cloud Storage17 lectures • 2hr 22min

Overview on Encryption options in Google Cloud2 lectures • 17min

Database Service in Google Cloud2 lectures • 5min

SQL databases - Quick guide8 lectures • 21min

Requirements

Description

Who this course is for: