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GCP - Google Cloud Professional Data Engineer Certification

Learn Google Cloud Professional Data Engineer Certification with 80+ Hands-on demo on storage, Database, ML GCP Services

4.37 / 5.0
4226 students18 hours 30 minutes

Created by Ankit Mistry, offered on Udemy

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Student feedback


To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 4226 students which left 490 reviews at an average rating of 4.37. Impressive!

Course length


We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 18 hours 30 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 4 hours 29 minutes.

Overall score


This course currently has a bestcourses score of 7.2/10, which makes it a great course to learn from. On our entire platform, only 15% of courses achieve this rating!


Google Cloud Platform GCP is Fastest growing Public cloud. PDE (Professional Cloud Data Engineer) certification is the one which help to deploy Data Pipeline inside GCP cloud.

This course has 16+ Hours of insanely great video content with 80+ hands-on Lab (Most Practical Course)


Some Feedback about course from STUDENTS :

5 ⭐- Recommended ankits all GCP certification course. all are very much comprehensive & fully practical course.

5 - great overview of all topics, highly recommended course

good explaination of the various data services

5 - One of the awesome GCP data engineer course i have ever watched, learned a lot, Thank you @ankit Mistry.

5 - The instructor gives very detailed and easy-to-understand explanations. In addition, he explores the theoretical concepts inside the Google Cloud Console. So, it's very practical, as well. I highly recommened.

5 - Good course with lots of practical work to follow along and learn from.


  • Do you want to Deploy Data Pipeline inside GCP.

  • Do you want to learn about different Storage, database, Processing, ML product offering by GCP to get insight about data.

  • Do you want to do Data Processing  where Internet's biggest App like Google Search, YouTube, GMAIL (Billion users app) store their data, process data & find meaningful insight with ML from your data

If Yes, You are at right place.


Why Cloud, GCP, Certification, Data Engineering ?

  • Cloud is the future , & GCP is Fastest growing Public cloud.

  • 87% of Google Cloud certified individuals are more confident about their cloud skills.

  • More than 1 in 4 of Google Cloud certified individuals took on more responsibility or leadership roles at work.


Google Cloud : Professional Cloud Data Engineer Certification is the best to invest time and energy to scale your data storage & processing demand.

I am all exited to help you on your journey  towards Google Cloud Professional Cloud Data Engineer Certification.

So, I created most practical comprehensive course will prepare you for Professional Cloud Data Engineer certification, having 16+ hours of HD quality video content.


Why Enroll in this course?

I believe in learning by doing and it's very much practical course

  • 80+ Hands-on Demo

  • 80% Practical's + 20% Theory - Highly Practical course

  • Highly relevant to exam topics

  • Covers all major topics related to Storage, Database, processing & ML

  • Minimum on Slides + Maximum on GCP cloud console


Have a look at course curriculum, to see depth of Course coverage.

Major Theme of this certification course are:


1. Data Engineering & GCP Basic Services

In this module I will Start with Data engineering pipeline,

Different Types of data :  structure data, semi-structured data, unstructured data, some concept related to batch data processing and stream data GCP related concepts like GCP region and Zones, how to create a GCP account & various GCP service being offered from the data engineering perspective.

Then we'll see about GCP basic infrastructure services like IAM, VM, kubernetes provisioning, app engine, cloud run and cloud function deployment.


2. Data Storage in GCP

In this module I will teach you different Data storage product for storing unstructured data, Google cloud storage, file Store, persistent disk storage, local SSD storage and how to do data migration from on-premise to GCP. 


3. Database Offering by GCP

In this module I will teach you Database solution for storing structured data & semi-structured data.

  • For storing structured data inside GCP we have a Google cloud SQL and a cloud spanner is available.

  • For semi-structured data inside the GCP we have a Google cloud BigTable,  DataStore/firestore and for in memory power MemoryStore available


4. Data Processing in GCP

In This Data processing section we will begin with Data warehousing analytical data processing solution google cloud BigQuery and for asynchronous communication we will see Google cloud PubSub services.

For developing complete pipeline inside GCP - 

  • Dataflow Apache beam solution inside Google cloud

  • Google cloud DataProc for lift and shift Hadoop and Spark job

  • Without writing code with just drag and drop build complete pipeline with cloud Data fusion

  • Monitor Author and schedule a complete workflow we have a Apache airflow - Cloud Composer is available

  • For sensitive and personally identifiable data detection Data loss prevention API - DLP

  • Search for or all data set at one single place Data Catalog is available


5. ML/AI offering in GCP

In this module we will begin with basics of Machine learning

Prepare your data with intelligent data preparation tool  Dataprep before throwing all your data to a machine learning algorithm

We will see different pre-built machine learning API for vision, language and speech

Double auto machine learning model with AutoML

Building custom machine learning model with various framework life tensorflow, scikit learn and Pytorch

Bigquery ML for machine learning training with SQL

At the end we will see how to create beautiful reports and visualization with in browser Google cloud data studio tool


This course also comes with:

  • Lifetime access to all course material & updates

  • Q&A Section

  • A 30 Day Money Back Guarantee - "No Questions Asked"

  • Udemy Certificate of Completion

So, What are you waiting for, Enroll NOW and I will see you inside course.


Ankit Mistry

What you will learn

  • Grasp Basic Data Engineering & Database Concept
  • Provision Basic GCP infrastructure services - VM, Container, GKE, GAE, Cloud Run
  • Learn Various Storage Product like Cloud Storage, Disk, Filestore for Unstructured Data
  • Structure Data Solution - SQL, Spanner, BigQuery
  • Store massive semi structure data in BigTable, Datastore
  • Deploy Data Pipeline on different Data Processing Product - DataFlow (Apache Beam), DataProc (Hadoop/Spark), Data Fusion, Composer(Airflow)
  • Cleanse, Wrangle & Prepare Your Data with DataPrep
  • Machine Learning Basics & its GCP Solution Product
  • Search Data Asset from Data catalog
  • Visualize Data by creating Reports & Dashboard with Google Data Studio
  • Use Prebuilt ML API (Vision, Language, Speech) in your application
  • Apply Auto ML on your own data to build model
  • Build Machine Learning Custom Model with Notebook , Scikit Learn Library
  • Deploy Scikit-learn Model, Tensorflow as endpoint for prediction
  • Detect Sensitive PII data with Data Loss Prevention (DLP) API
  • Store process and analyse your petabyte-scale data with Google data warehousing solution cloud bigquery
  • Decouple application with asynchronous communication Google cloud pub sub
  • Store data inside the memory for faster access with memory Store redis database


  • Enthusiasm & dedication to learn GCP - next Cloud
  • Google Cloud account - (valid debit or credit card)
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Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 18 hours 30 minutes
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bestcourses score: 7.2/10

This course is better than many others in its category.