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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

This Course Includes
udemy
4.5 (5.4K reviews )
32h 33m
english
Online - Self Paced
professional certificate
Udemy
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.