PGP - Cloud Computing

The Future is Cloud!

PGP - Cloud Computing

  • Online
  • Weekly Mentorship Sessions
  • 6 months
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Academic Partner

  • Great Lakes Logo

Why Join PGP - Cloud Computing?

Become proficient with cloud

Learn to apply concepts and work with tools and platforms across use cases. Learn to think like an architect and eventually become one.

Practice based learning

Solve 15+ use cases through labs, projects across multiple cloud platforms and build your project portfolio.

India's top ranked institute

Great Lakes has been the preferred choice of technology professional for over 13 years now.

Learn from the best

Learn from experienced industry practitioners in the field of cloud computing.

PG Cloud Computing Course Learning Experience

PGP - Cloud Computing introduction by Nirmalya
Online learning

Online learning enables you to pursue the course along with your professional commitments without disrupting your work.

Design . Build . Deploy . Repeat

You will work on multiple labs and projects cutting across various cloud concepts and platforms.

Weekly mentorship sessions

Weekly mentorship sessions ensure that learning is not monotonous. Regular interactions with industry experts and peers leads to an enriched learning experience.

Capstone Project

Work on a comprehensive 12 week project with your peers and implement the entire project lifecycle, from inception to deployment including architecture, cloud financials, vendor comparison.

Become a Cloud Architect

Online Content | Weekly Mentorship

Program Structure

A 6-month structured Cloud Computing online course with weekend mentorship sessions to help you become proficient in working with a range of cloud environments, including AWS, Google Cloud and Microsoft Azure

Online content

Become proficient in multiple cloud platforms like AWS and Microsoft Azure with 100+ hours of instructional content and 300+ hours of overall learning

Hands-on projects

You'll build a professional portfolio of 5 projects including a specialized 12 week capstone project

Weekend mentoring sessions

Personalised mentorship from cloud architects working in leading companies

How does Mentorship Work?

Participants attend weekly live mentorship sessions

Participants attend a live session each weekend to clarify their conceptual doubts, ask questions and discuss use cases with an industry practitioner.

Mentors inspire and guide participants at each step

Participants can reach out to mentors for queries, career discussions and get capstone project guidance during the course.

Great Lakes Certificate & ePortfolio

Earn a Great Lakes certificate and create an ePortfolio to showcase your learning & projects in a snapshot. Your certificate and ePortfolio can also be shared on social media channels to establish your credibility in Cloud Computing.

Developer Track Certificate

An additional certificate is available for participants with a programming background. Need to complete the additional requirements listed below to be eligible to receive this certificate.

  • done Developing on cloud
  • done Infrastructure as Code
  • done Become proficient with AWS and Azure or Google Cloud
  • done Individual project (using either Python, Java or .NET)


IT professionals not already working with cloud technologies will gain a solid foundation while those with some cloud experience will gain a more structured and hands-on understanding of cloud technologies, including issues such as migration, deployment, integration, platform choice, architecture, and TCO

  • Introduction to Virtualization (VM’s and Containers)
  • Service Delivery & Deployment Models
  • Cloud Attributes and Services Taxonomy
  • Introduction to Infrastructure Automation
  • Key Aspects of IaaS, PaaS and SaaS
  • Docker
  • Microservices
  • Architecture & Design Patterns
  • Microservices Architecture & Design
  • Anti Patterns
  • Event Driven Architecture & CQRS Framework
  • Migrating a Monolith
  • SQL vs NoSQL Databases
  • NoSQL Databases - Cassandra & DynamoDB
  • Partitioner, Replication, Snitch
  • Query Driven Design & Distributed Development
  • Hadoop, Amazon EMR, Hive
  • Migration Maturity Index and Enterprise Migration
  • API based Integration
  • Cloud Adoption Strategies
  • Application Characterization & Evaluation
  • Workload Analysis
  • Typical Migration Services
  • OpenStack Essentials
  • A group project that allows you to apply your learning to real industry use cases and add it to your portfolio for potential employers to see as a tangible body of work
AWS Specialization
Participants who complete the AWS specialization will get
  • done Additional Online Badges from AWS Educate, upon successful completion of the learning pathways
  • done Access to AWS Educate Job Board for relevant Job Opportunities around the world
  • AWS Organization & Identity
  • Compute, Storage & Networking
  • Auto Scaling, Load Balancing & Fault Tolerance
  • Database Services (RDS, DynamoDB)
  • AWS CloudWatch, Kinesis, Athena & QuickSight
  • AWS SNS, SQS and Trusted Advisor
  • Messaging & S3 events
  • ElastiCache & CloudFront
  • Container Orchestration (e.g. ECS,Kubernetes Engine)
  • Continuous Integration and Continuous Deployment
  • Deployment Pipeline(e.g. AWS CodePipeline, CodeCommit, CodeBuild, CodeDeploy)
  • Plan, Build, Deploy and Monitor
  • Infrastructure as Code (Terraform)
  • NIST Cloud Reference Architecture
  • AWS Reference Architectures
  • Stateless and Singleton design
  • Thinking Adapters
  • Serverless Development - AWS Lambda
  • PaaS - Elastic Beanstalk
  • Elastic Container Services - ECS
  • Networking
  • Managed Services Overview
  • Security
  • Architecture & DevOps
  • Platforms
  • Data & Databases
  • Web, Mobile & Gaming
Specialisation in Microsoft Azure or Google Cloud
  • Identity Solutions
  • Azure Data Implementation
  • Managed Services
  • Azure Compute Infrastructure
  • Network, Security & Ops
  • Organization & IAM
  • Compute
  • Storage
  • Networking
  • Operations
  • BigTable

Learning Outcomes

  • done You will understand the absolute basics of cloud computing.
  • done You will be able to design, build and deploy cloud based solutions.
  • done Become proficient with AWS and Azure or Google Cloud.
  • done Strong understanding of Containers and Microservices to architect applications.
  • done Learn both the fundamental aspects of Big Data - Infrastructure & Analytics.
  • done Become conversant with DevOps on Cloud.Truly understand the power of cloud by working on multiple managed services.

Faculty & Mentors

Learn from several experienced industry practitioners from leading organizations

Alumni Success Stories

Our Alumni Work for Amazing Companies

The participants this course have been associated with leading Indian and global organizations

Admission Details


Applicants should have a minimum of 3+ years of experience in IT & technology role with exposure to one or more of these skill sets

  • done Systems Administration
  • done Network Engineering
  • done Database Administration
  • done ITSM
  • done Infrastructure Engineering
  • done Software Development
  • done Testing/QA
  • done Maintenance & Tech Support

Selection Process

Step 1

Fill an application form

Apply by filling an Online Application Form.

Step 2

Screening call

Applicants meeting the eligibility criteria receive a screening call from the Admission Director's office.

Step 3

Application review

Admission Director reviews the screening call discussion and applicant’s profile.

Step 4

Admission offer release

The announcement of results, followed by the release of admission offer letter.

Fee Details

Created with Sketch. 1,25,000 + GST

Fee Includes

Tuition Fee

Learning Material



Candidates can pay the course fee through

Net Banking
Credit/Debit Cards
Cheque, DD

Financial Aid

Pay in 12 EMIs at 0% interest Rate with ZestMoney.
Start learning at Rs. 9833/month! Reach out to admission’s office at +91 92056 80226 for more details.

Batch Start Dates


July 2019

Upcoming Application Deadline


We follow a rolling admission process and admissions are closed once the requisite number of participants enroll for the upcoming batch. So, we encourage you to apply early and secure your seat.

Apply Now

Frequently Asked Questions

Yes. Great Lakes' Post Graduate Program in Cloud Computing is a 6-month course offered online with live mentored sessions on weekends.
Candidates should have at least 3+ years of experience in IT & technology role which would include exposure to development, testing/quality assurance, maintenance, database administration and technology infrastructure management.
You should have an understanding of IT Services Management. It is essential to know the basic concepts related to operating systems, like Windows, Linux. Also, prior exposure to public or private cloud environments, or infrastructure and network management is a plus.
You should essentially belong to a technical background to get the best value from this course.
The PG Cloud Computing Course builds a sound foundation through coverage of essential topics such as Cloud Essentials, Cloud Architecture, Cloud Service & Deployment Models, Virtual Machines & Containers, Cloud Adoption, Migration and Economics, as well as working on cloud platforms as Developer, DevOps, or Architect. Watch this 4 Minute video to learn the topics covered in detail.
The AWS Educate program ("AWS Educate") is Amazon’s global initiative to provide students and educators with the resources needed to greatly accelerate Cloud-related learning endeavors and to help power the workforce of tomorrow. With the increasing demand for cloud-skilled employees, AWS Educate provides an academic gateway for the next generation of IT and cloud professionals. The program offers a robust set of free tools, resources and AWS Promotional Credits for students and educators to skill upon the cloud and accelerate cloud-related learning endeavors. For further details –
There are several benefits to students, after they are approved, they are provisioned AWS Promotional Credits for free access to AWS tools and services. They receive specialized content & hands-on activities designed to get students comfortable with the basics of cloud computing and other in demand skills such as Machine Learning, Cybersecurity, software development and nine additional Cloud Career Pathways, each with 30+ hours of learning content, along with the ability to earn AWS badges for different competencies such as IoT, Alexa, and gaming. AWS Educate starter accounts allow students to enroll without a credit card and still use AWS Services. In addition, there is the AWS Educate Job Board with cloud-related jobs from top tech partner companies and Amazon.
At the end of the course, you will
  • Be able to oversee a company's cloud adoption plans, cloud application design, and cloud architecture.
  • Be able to design and implement enterprise infrastructure and platforms required for cloud computing.
  • Be able to analyze system requirements and ensures that systems will be securely integrated with current applications.
  • Develop the ability to architect a cloud environment and make sound component choices
  • Become comfortable working with virtual machines (VM) and the nuances of the most popular tools used
  • Build the ability to use NIST Cloud Reference Architectures to solve a variety of problems faced as a cloud professional
  • Understand trade-offs, cost implications and choose the right cloud services for you
  • Understand Containers and learn how to work efficiently with Dockers
  • Use your knowledge of cloud services to suggest and implement cloud-based solutions to your clients and technology teams
  • Build your professional toolkit to become effective DevOps professional
No. The PG Cloud Computing Course trains you for the AWS certification, but you'll have to get the certification separately. You will be trained to clear AWS Certified with AWS Solutions Architect - Associate Certification and build a strong foundation for other AWS certifications for SysOps and Developer.
The Great Lakes PG Cloud Computing Course goes well beyond preparing you for AWS. The course helps you gain strong conceptual understanding of the entire cloud ecosystem. Watch this video to learn more.
The faculty members teaching in the PG Cloud Computing Course are industry experts and leaders in their respective areas of expertise and have decades of professional experience and wisdom. Renowned experts from academia also participate.
The Cloud Computing Course includes various real-time projects and a detailed capstone project. You will analyze a real-world problem using a range of tools & techniques that you have learned in live classes. The duration of the capstone project is 2 months.
The virtual lab exposes you to the appropriate technology – a real-life environment, not a simulation. For instance, in the phases of the Cloud Computing course where you're working on AWS, you will have access to AWS and when you’re working on Azure, you will have access to the Azure platform. You will have defined lab timings that give you plenty of time to work on the lab. Each week's lab environment and appropriate configurations have to be set up to suit the scenario, so it is not 'always on'.
You are expected to make necessary arrangements to attend all the class and lab sessions. If you miss a lab session, you will not have an opportunity to make up for the lab at a later time. As you can appreciate, this is logistically infeasible, as the class would’ve moved on to the next section.
All the requisite learning material is provided online through the Learning Management System. Candidates are free to purchase any reference books or material as may be recommended by the faculty.
No. The content is not downloadable. However, we believe that learning should be continuous and hence, all the learning material in terms of lectures and reading content would be available to you on the LMS even after the completion of the course.
The PG Cloud Computing Course is a holistic and rigorous program and follows a continuous evaluation scheme for your hands-on work. While you receive feedback on your lab submissions, your performance in projects will be graded.
You are provided career support through resume workshops and interview preparation sessions for cloud computing job roles. Relevant career opportunities with leading companies are also shared with you.
Please click to see the Course Fee Structure. The Admissions office will help you in applying for loans once you receive the offer of admission. Our lending partners include HDFC Credila, Avanse (DHFL), Axis Bank and ZestMoney. We ensure money is not a constraint in the path of learning.
Yes. You can pay the course fee in 2-3 easy instalments. If you make a one-time full payment you would be entitled to a discount. Please check with admissions office for more details.
  • All interested candidates are required to apply to the course by filling up an Online Application Form.
  • Applicants meeting the eligibility criteria receive a screening call from the Admission Director's office
  • Admission Director reviews the screening call discussion and the applicant’s profile.
  • The announcement of results, followed by the release of admission offer letter.
Live mentored are interactive Q&A sessions conducted on weekends for students to clarify their doubts with faculty and connect with other students for knowledge sharing. You can re-attend the missed session in the form of recorded video.
All virtual sessions are conducted through Zoom, an online collaboration platform. During mentor session, using chat feature, you can ask questions directly to faculty members, share messages and useful links with your classmates as well.
The course is designed to engage participants every week. All participants are required to learn from videos and to attend live mentor sessions every weekend. However, attending lab support hours are optional and you can attend it only in case you need clarify your doubts regarding the lab exercise.
All projects are mandatory evaluation components. If you miss a project, you need to re-enrol into the same course and repeat the project.
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