When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Udemy logo

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

     
  • 4.5
  •  |
  • Reviews ( 5.4K )
₹549

This Course Includes

  • iconudemy
  • icon4.5 (5.4K reviews )
  • icon32h 33m
  • iconenglish
  • iconOnline - Self Paced
  • iconprofessional certificate
  • iconUdemy

About GCP - Google Cloud Professional Data Engineer Certification

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

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

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

. Regards 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 Show moreShow less.