What you'll learn

Grasp Basic Data Eeering & 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

Description

PDE (Professional Cloud Data Eeer) 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)

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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.

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Why Cloud, GCP, Certification, Data Eeering

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.

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Google Cloud : Professional Cloud Data Eeer Certification is the best to invest 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 Eeer Certification.

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

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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

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

Major Theme of this certification course are:

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1. Data Eeering & GCP Basic Services

In this module I will Start with Data eeering 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 eeering perspective.

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

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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.

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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

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4. Data Processing in GCP

In This Data processing section we will b 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

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5. ML/AI offering in GCP

In this module we will b 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

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This course also comes with:

Life 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

Who this course is for:

Cloud Eeer who want to get certified in Google cloud Data Eeer

Anyone looking to use Google cloud for Data Pipeline in Organization

Data Eeer who want to learn various GCP products for Data Eeering

Anyone who want to learn about various Storage & Database Product for Storing Data

Anyone who want deploy ML Model/ Data Pipeline on Google Cloud




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