Post Graduate Program in
Cloud Computing
PGP-CC | 6 Month Online Program
PG Program in Cloud Computing
Great Learning's Post Graduate Program in Cloud Computing is offered in
collaboration with the University of Texas at Austin - McCombs School of
Business. This program is focused on empowering professionals to fast track
careers in Cloud Computing. In this 6-month intensive experiential learning
program, learners get access to 100+ hours of online video content, 12 hours
of labs and live weekend mentor sessions to reinforce their learnings with an
industry perspective.
The program is carefully designed in collaboration with industry leaders to
help you become a cross-platform and balanced cloud architect. Through a
combination of expert lectures, demos, hands-on labs and projects, you will
build out solutions that the industry expects of you as a cloud professional.
Program Rating
4.7/5*
*1037 participants
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The Future is Cloud
$ 500
BILLION 81% 83%
is the estimated public of companies have a is the estimated growth
cloud spending by multi-cloud strategy predicted in the cloud
2023* today* infrastructure market in 2021*
*CenturyLink and Statista *Gartner *Forrester Research
Our Credentials
20+ 600,000+ 50 MILLION+
Top Ranked Learners Hours of Learning
Programs Delivered
1500+ 350+
Industry Experts Faculty
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If you choose this program,
you will:
01 02
Become a cloud professional with Become proficient in AWS and
the ability to work on Microsoft Azure with an option to
platform-agnostic and cloud-based learn Google Cloud.
solutions for organizations.
03 04
Be able to work with Containers, Get a better understanding of
Microservices, DevOps, Cloud Cloud Financial, Adoption &
Design Patterns and Openstack. Migration Patterns and learn to
make trade-off decisions for your
customers.
05 06
Understand Big Data and Get access to an optional
Architectural Styles to realize the Developer Track to hone your
value of data insights for your skills (Only for developers with
organization and customers. work experience).
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What makes the Cloud
Computing Program unique?
Hands-on Labs & Projects
Solve and build more than 15 use cases through labs and
projects across various cloud platforms.
Capstone Project
Specialise in a specific set of cloud concepts/domains
by working on a comprehensive real-life industry
problem over 3 months as a team
Lecture Notes
Apart from the videos, demos and mentoring, you’ll also
access course notes for a quick overview of concepts before
your interviews.
Access to learning content
beyond graduation
Continue learning even after completion of the program.
Comprehensive Curriculum
The program covers a diverse yet relevant set of concepts
and technologies that prepare you well beyond just
industry certifications.
Certificate
Get a PG Certificate from the University of Texas
at Austin.
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Certificate from UT Austin
Get a globally recognized PG Certificate from the University of
Texas at Austin - McCombs School of Business.
Certificate Image is for representational purposes only. Actual certificate image may vary.
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Program Curriculum
Foundations
Cloud Primer (Preparatory Work Big Data Management and Analytics
Course) Concepts of NoSQL
Basic python for cloud NoSQL Databases (Cassandra and
DynamoDB)
Basic Linux
Partitioner, Replication, Snitch
Query Driven Design and Distributed
Cloud Foundations Development
Amazon EMR, Hadoop and Hive
Introduction to Virtualization
(VM’s and Containers)
4 Quiz 1 Project
Service Delivery and Deployment Models
Cloud Attributes and Services Taxonomy
Cloud Security and Migration
Introduction to Infrastructure Automation
AWS Organizations
Key Aspects of IaaS, PaaS and SaaS
Security services (Trusted Advisor, Data
encryption, Amazon Inspector, AWS Config,
1 Quiz 1 Project
Guard Duty and Macie)
Identity and Access Control
Containers Application user management
Docker (AWS Cognito)
Elastic Container Service (ECS) Cost Explore
Cloud Migration Strategy
1 Quiz 1 Project
Migration Maturity Index
API based integration
Microservices Workload Analysis
Expectations and Characteristics
4 Quiz 1 Project
Failures, Modelling challenges,
Load balancing
The 12-factor app
Private Cloud (Self-Paced Course)
OpenStack Essentials
Architecture and Design Patterns
Anti Patterns
Event Driven Architecture Capstone Project
Security Enforcement A group project that allows you to apply
your learning to real industry use cases and
Migrating a Monolith add it to your portfolio for potential
employers to see as a tangible body of work.
4 Quiz
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AWS Specialization
Cloud Computing on AWS Enterprise Cloud Solutions
Compute, Load Balancing, Autoscaling (Self-Paced Course)
Storage, Replication and Life Cycle Data Architecture and Serverless approach
Management
Setting up a cloud based development
AWS Organization and Identity environment
Networking and Data migration Data streaming and data analytics on cloud
Setting up Kinesis data stream
3 Quiz 1 Project
Platform as a service - Elastic Beanstalk
Step Functions
Managed Services on AWS Elasticsearch
Databases (RDS, DynamoDB)
Web Application Firewall
SNS, SQS, Cloudwatch Solutions Architect - Official AWS
Athena, Quicksight and Kinesis Educate Learning Pathway
Serverless (Lambda) Networking
AWS Cognitive Services (Rekognition, Managed Services Overview
Comprehend and Polly)
Security
3 Quiz 1 Project
Cloud Native DevOps Application Developer - Official AWS
Educate Learning Pathway
Terraform
Architecture and DevOps
Deployment Pipeline (AWS Code Commit,
AWS Code Deploy and AWS CodePipeline) Platforms
CloudFormation Data and Databases
Web, Mobile and Gaming
1 Quiz
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Azure Essentials Google Cloud Platform
(Self-Paced)
Cloud Computing on Azure
Compute (Resource Groups, App service
plan, Web API app and Azure VMs) Google Cloud Platform
Storage (Blob Storage, Azure tables and Regions, Resources and Services Overview
Storage queue) Google Compute Engine, Instance Groups,
Database and Caching (Azure Redis, Load Balancing and Autoscaling
Azure SQL, Cosmos DB and SQL Data Storage and Networking
warehouse)
GCloud and Cloud SDK
2 Quiz 1 Project
Google App Engine
Google Kubernetes Engine
Managed Services on Azure
*Terms & Conditions Apply.
Service bus
Cognitive services
Logic apps You will also get additional resources containing
material which can help you excel the AWS and
Serverless computing Azure certifications.
Service fabric
Monitoring and Logging
Azure IoT and IoT hub
1 Quiz
Azure DevOps and Security
Boards
Repos
Pipelines
Security Policies
Security Center
1 Quiz
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Sample Hands-on
Projects
01 02
Cloud-based file share and Building an Automated Business
sync solution Process using Managed Services
Implemented a cloud-based scalable
on a Public Cloud
and secure file share and sync solution In the connected world, it is imperative
using AWS services. The solution can that the organizations be interlinked
be easily scaled up to run in your data with the customers and vendors. This
center or on a public cloud, with its process has been very sluggish,
servers, storage etc. completely manual, batch-based and prone to
managed and controlled by your IT failures. Such Integration design has
team in accordance with a company’s led to impaired decision making and
governance and security requirements. delays in the detection of fraudulent
actions. This project created an
Concepts: VPC, EC2, Security Group, automated, event-based real-time
Internet Gateway, NAT instance, LAMP process using managed cloud services
stack, S3 and MYSQL. that do not have these limitations.
Concepts: Amazon S3, SNS, Athena
and DynamoDB
*Sample Projects
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03 05
Deploying web app using ECS Scalable Geo-Distributed Event
Registration App on Microsoft Azure
In the last decade, small and large
enterprises have invested heavily in The application is a multi-tenant
developing bespoke applications. web application that can onboard
Since these applications have been thousands of corporates and millions
built and enhanced over a period of of end users. The app is globally
time, they are complex and any form available with automatic geo-failover,
of re-engineering to convert it to as any downtime may cost revenue
smaller, modular and independently loss to business as end-users will not
hosted services are difficult. Managed be able to register. Email notifications
Container Services from cloud are sent to end users after successful
providers allow predictable and registration with relevant event
reproducible packaging of such apps. information.
This project moved & deployed a
Concepts: AppServer Instances, Azure
classical web app to AWS ECS
Active Directory, Functions and CDN.
containers.
Concepts: Docker, ECS, Load Balancer
and Fargate.
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Build a Document Management
System on Cloud
04 Enterprise information is primarily
captured in either a structured or
Building scalable and resilient unstructured manner. Databases have
applications
been very efficient in handling
Creating web applications that are structured data and allowing the
both resilient and scalable is an business users the flexibility to access
essential part of any application the raw data. However, unstructured
architecture. A well-designed data storage and management will
application should scale seamlessly have less than the desired outcome if
as demand increases and decreases, the system used is optimized for
and be resilient enough to withstand structured data. Created a process and
the loss of one or more compute a document management system that
resources. allows the enterprise to organize,
catalogue and fetch data in an
Concepts: Instance Group, Autoscaler,
intuitive manner.
HTTP Load balancer, Autohealing and
Google App Engine.
Concepts: Lambda, Elasticsearch,
Containers, Python and Java Codes, S3
*Sample Projects
and DynamoDB.
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07 08
CloudFormation | AWS CLI Cassandra Setup and Masterless
Concepts
Creating multiple containers and
custom docker image Install multi-node Cassandra cluster,
induce failure, create keyspace/table
Concepts: AWS CLI, Cloud Formation, and access from the client.
Cloud Formation template and Cloud
formation stack. Concepts: Cassandra and BigData.
*Sample Projects
e-Portfolio
Build your credibility as a Cloud
professional by showcasing the
projects you’ve worked on,
through this e-portfolio which is
shareable on LinkedIn and other
social channels.
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Program Faculty & Industry
Mentors
Dr. Kumar Muthuraman
Faculty Director Center for Research and Analytics
Prof. Dan Mitchell
Clinical Assistant Professor, Dept. of Information,
Risk and Operations Management
Nirmallya M
Former Chief Architect
Atul Sharma
Global Solution Architect
Raghu Raman
Big Data and Cloud Expert
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Rajesh Kumar
Engagement Lead
Sachin Agarwal
Software Engineer
Bhuvaneswari Subramani
AWS Community Hero, Director
Note: This is a partial, indicative list of faculty and mentors. Your learning
sessions draw from a diverse pool of faculty and mentors and may vary from
session to session.
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Student Speak
After going through this program, I am able to review
my career goals and plan my strategies for achieving
them. Your advice and career sessions were very
helpful and gave us a new perspective on available
opportunities. Thank you for bringing out the best in
us! And if you specifically ask me if I will refer this SRN Rao Musunuri
program to my friends and colleagues? Cloud DevOps Engineer
Well, I already did!
Thank you Great Learning, I graduated AWS-CSAA
with 87%. GL-PGPCC course modules are great
resource of learning before giving the AWS –CSAA
certification. This is the only course in the market which
covers Analytical and Big Data AWS services. Kishore Redippalli
Cloud Solution Architect
I did not have a clue about cloud and applications
prior to this course, but now I am confident of the
technology. The course is fantastic.
Abdus Salam Subhan
Director, IT Operations
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List of Employers
Our learners come from a variety of top organizations.
Some of these are:
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Admission Details
The admissions are conducted on a rolling basis, and the admission process
is closed once the requisite number of candidates have been enrolled in the
program.
Eligibility
Applicants should have a minimum of 3 years of experience in a technology
role which would include exposure to development, testing/quality
assurance, maintenance, database administration and technology
infrastructure management.
Tuition Break Up
Admission Fee $ 500
1st Installment $ 850
2nd Installment $ 850 For more information on payments,
please contact our admissions office at
3rd Installment $ 800
+1 (512) 645-1416
Total $ 3000
Fill an online Eligible applicants will
application form receive a screening call
Announcement of
Review of call results/release of admission
offer letter
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Program Partners
Great Learning is a leading professional learning company focused on upskilling
working professionals and students. It offers comprehensive, industry-relevant
programs in Software Engineering, Business Management, Business Analytics,
Data Science, Machine Learning, Artificial Intelligence, Cloud Computing, Cyber
Security, Digital Marketing, Design Thinking, and more. Great Learning's programs
are developed in collaboration with the world's foremost academic institutions
like Stanford University, The University of Texas at Austin, Indian Institute of
Technology, Madras (IIT Madras), People's Education Society University, Bengaluru
(PES University, Bengaluru) and Great Lakes Institute of Management and are
constantly reimagined and revamped to address the dynamic needs of the
industry. Great Learning is the only ed-tech company to provide these programs in
a blended mode, classroom mode and in purely online mode, relying on its vast
network of expert mentors and highly qualified faculty to deliver an unmatched
learning experience for learners in India and the world over. Having delivered over
50 million hours of transformational learning that has impacted 6,00,000+ learners
from over 140 countries, Great Learning is on a mission to enable transformative
learning and career success in the digital economy for professionals and students
across the globe.
The University of Texas at Austin’s McCombs School of Business is a premier
business school at a world-class public research university. It cultivates
principled leaders and develop ideas through high-quality instruction,
experiential learning, and the pursuit of relevant, groundbreaking research,
shaping those who will shape tomorrow and solve the most challenging
problems.
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Power ahead in
your career with Great Learning.
Start learning today.
Reach Us
+1 (512) 645-1416
utcloudcomputing@mygreatlearning.com
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