Post-Graduate Program in Cloud Computing: Leveraging GenAI

Build Your Career Skill Set With Cloud Computing

6 Months

Certificate of Completion

Interactive Online Mentorship

Features GenAI applications on Cloud

Now with Applied AI on Cloud

Application Closes 29th Apr 2025

360˚Understanding of Cloud Ecosystem

AWS

Amazon Web Services

Azure

Windows Aure

GCP

Google Cloud Platform

1000+ Careers Transformed

Amber M Perks

Self employed

Diving into UT Austin's cloud computing program, a collaboration with Great Learning, was a transformative journey for me. It offered a supportive and empowering ecosystem, blending rigorous academics with nurturing mentorship, tailored for both tech enthusiasts and newcomers alike.
Nada Khamis

Senior Cloud Engineer

I can now work independently on projects and anything involving AWS. The program taught us the basics and then moved on to the advanced level. It is such an interactive program, and you feel like you are in a classroom.
Charles Okaformbah

Blockchain Solutions Architect(CTO)

The program is well-structured, covering a wide range of Cloud Computing topics from the fundamentals to advanced concepts. The exceptional educators have a knack for breaking down complex topics into digestible chunks.
Alexa Franklin

LMS System Manager

Equipping myself with the knowledge and expertise to navigate platforms like AWS, Azure, and Google Cloud has proven to be an invaluable asset for my career trajectory. I wholeheartedly endorse and recommend this program to aspiring professionals looking to excel in the realm of Cloud Computing

What makes the UT Austin’s Cloud Computing Program Unique

90+ cloud services covered in curriculum

Learn in-depth cloud technology with in-demand tools and software, offered by AWS, Azure and Google Cloud.

VIEW CURRICULUM

Prepare for top certification exams

Get access to comprehensive certification prep materials: 100+ exercises & 1100+ mock questions.

Live mentorship
sessions

A certified professional from the industry mentors you through the entire program.

VIEW EXPERIENCE

Program support

Get personalized assistance with a dedicated program manager and stay on the track throughout the program.

Join the Most Comprehensive Cloud Computing Program & Transform your Career

Certificate of Completion

* Image for illustration only. Certificate subject to change.

Information Systems Graduate Programs

U.S. News & World report, 2022
Executive Education

Custom Programs by Financial Times, 2022

Ace Microsoft Azure Administrator and AWS Solution Architect Associate Certification Exam

Microsoft Azure Administrator (AZ-104) Certification Training Program

Prepare for AZ 104 Certification Exam in 6 weeks with:

Live Online Sessions with Microsoft Certified Instructors
Latest Question Bank with 200+ Practice Questions
2 Weeks of Intensive Exam Preparation and Strategies for Exam
2 Mock Tests to Assess Skills and Knowledge

Program Cost: 1200 USD

AWS Solutions Architect Associate Certification Training Program

Prepare for AWS SAA Certification Exam in 6 weeks with:

Live Online Sessions with AWS Certified Instructors
JIT-E2 cycle for exam preparation
500 + Mock Questions & 4 full-length mock exams
Weekly Tests to Assess Skills and Knowledge

Program Cost: 1200 USD

Great Learning offers and delivers the AWS Solutions Architect Associate Certification Training Program and the Microsoft Azure Administrator (AZ-104) Certification Training Program

Comprehensive Curriculum

PG Program in Cloud Computing has the most comprehensive curriculum with 90+ services being covered.

300+ hrs

Learning content

90+

Languages & Tools

Unit 1

Cloud Foundations

Understand the evolution of cloud computing and learn basics of cloud computing before learning the concept of elasticity in the cloud pricing model and an exploration of the ever-expanding landscape of managed services.

Key Takeaways

Learn the basic concepts of cloud computing
Become familiar with the history and evolution of cloud computing
Understand service, delivery and subscription models
Review the classical enterprise, cloud cost economics and service offerings
Get introduced to virtualization and its correlation with cloud computing
Learn about cloud service taxonomy and next generation virtualization methods

Unit 2

Cloud Computing on AWS

Delve into the core building blocks of data center operations, covering compute or VM, storage, and networking and understand the concepts of infrastructure as a service, block and object-based storage. Develop familiarity with cloud native AI capabilities that help in anomaly detection to assist in elasticity and take preventive measures to reduce the risks of service downtime.

Key Takeaways

Become familiar with the terminologies & concepts of AWS and acquire proficiency in working with AWS
Gain a comprehensive understanding of the various services offered by AWS public cloud platform
Dive into the specifics of compute, storage, and network components within AWS
Implement generic cloud computing concepts through hands-on experience on the AWS platform
Develop the ability to create cloud cost projections using the AWS cost calculator
Understand how cloud native AI features help in deploying optimized cloud infrastructure

Skills/Tools

AWS global infrastructure
EC2, Load Balancers, AMI
EBS, S3, EFS, Volumes, Snapshots
VPC, NAT, Bastion Hosts, Route53
Identity & Access Management
Cost Calculator
Cloudwatch Alarms
ASG Sizing

Unit 3

Managed Services on AWS & Devops

Learn the key concepts of cloud-managed services - managed databases, caching, messaging, and serverless functions and gain expertise in deployment and monitoring on public clouds, containerization, and DevOps concepts. In addition to this, learn how to leverage GenAI for cloud operations by accelerating the process of backups and generating scripts.

Key Takeaways

Understand cloud managed services and gain insights into deployment & monitoring of resources work on a public cloud
Learn to write serverless functions
Learn the concepts of containerization, docker container system, and deploy applications
Learn the basics of DevOps and explore each phase of DevOps through demonstrations
Acquire skills to create a DevOps plan, choose the right tools and implement each phase to achieve CI/CD
Learn how to create and enhance various automation assets

Skills/Tools

AWS RDS
AWS Elasticache
AWS CloudWatch
SQS, SNS
AWS Lambda
Docker
Container - Docker
AWS ECS
DevOps on AWS
CI/CD
Application deployment
AWS Cloud Formation
Prompt engineering with ChatGPT & Gemini for automation scripts

Unit 4

Azure Essentials

Explore a unique perspective on Cloud Computing, specifically comparing Azure with AWS. Building upon concepts from previous modules, understand infrastructural services on Azure and gain insights into PaaS (Platform as a Service) deployments on Azure. Leverage Gen AI to accelerate the design process by creating early draft artifacts and documenting various solutioning approaches for effective communication and decision making.

Key Takeaways

Understand basic concepts of Azure Cloud Platform
Learn Azure Compute Infrastructure
Learn about Network & Operations
Understand Azure Serverless Computing
Improve productivity by conceptualizing and designing solutions with GenAI

Skills/Tools

Introduction to Azure and its Services
Azure Virtual Machines
Network Security
Load Balancing
Virtual Networking
Azure Storage
Azure App Services
API Management
Container Apps
Azure Functions
Anthropic

Unit 5

Managed Services on Azure

Dive into Azure’s managed services in this module, exploring databases, DevOps, messaging, and more. The key takeaways include insights into Azure data implementation, network & operations, Azure cognitive services, security & governance, and Azure DevOps. Stay up to date by leveraging GenAI to learn about the continuously evolving landscape of cloud services and features, compare and summarise them effectively

Key Takeaways

Learn about Azure Data Implementation
Learn about Network & Operations
Understand Azure Cognitive Services
Learn about Azure Security & Governance
Understand Azure DevOps
Leverage GenAI to evaluate new services and extract key concepts

Skills/Tools

Microsoft Entra ID
Microsoft Entra Connect
Security & Governance
Azure SQL Database
Cosmos DB
Messaging & Event Based Services
Data Services Intro
Building ARM Templates
Azure DevOps
Cost Management & Monitoring
Various GenAI Tools

Unit 6

Self-Paced Modules

Enhance your knowledge of cloud computing with self-paced courses covering a wide range of topics, such as big data, microservices, Google Cloud Platform, and many more.

Applied AI on Cloud

Concepts: AI Services Landscape on Cloud, Machine Learning on AWS, AWS AI Services (Artificial Intelligence), Azure Machine Learning (ML)

Cloud Security 101 and Migration

Concepts: Cloud Adoption and Migration, Cloud security on AWS

Big Data Management and Analytics

Concepts: EMR, Hadoop, Spark

Microservices

Concepts: Basic Constructs, Interservice Communication, Operations, Failure Handling, 12-factor App, Load Balancing, Event Driven Architecture, Reactive Extensions, Logging, and security.

Enterprise Cloud Solutions

Concepts: Cloud- based Development Environment, Data Streaming and Data Analytics on Cloud, Kinesis Data Stream, Elastic Beanstalk, and Kubernetes.

Google Cloud Platform 101 (GCP)

Concepts: Overview of GCP, Google Compute Engine, Instance Groups, Autoscaling, Load Balancers, Storage, VPC, Google App Engine, Cloud SQL, Cloud Datastore, Spanner, and Google Kubernetes Engine.

Azure Security and Governance

Concepts: Azure Active Directory, Key Vault, Azure Governance services, Managed Identities and Azure Governance services

Unit 7

Masterclass on AI Services on Cloud

Attend a Masterclass on AI Services on Cloud and explore the synergy between AI and cloud computing. Develop the skills to efficiently and effectively deploy AI applications in the cloud.

Unit 8

Capstone Project (Optional)

You will get your hands full with various real-world projects under the guidance of industry experts. You will implement projects in the fields of hospitality, inventory management, and many more.

Unit 9

Post Graduate Certificate from the University of Texas at Austin

After successfully completing the course, you can secure a Post Graduate Certificate in Cloud Computing from the University of Texas at Austin. This program’s exhaustive curriculum nurtures you to become a highly skilled Cloud Computing professional to help you get your desired career growth at top global companies.

Languages and Tools covered

Microsoft Azure
Amazon AWS
AWS Lambda
Azure Active Directory
Azure Cosmos DB
Google Cloud Platform

Build Job-relevant Skills with Hands-on Projects

1000+

Projects completed
22+

Domains

Cloud-Based File Share and Sync Solution

The solution can be easily scaled up to run in your data center or on a public cloud, with its servers, storage, and other components completely managed and controlled by your IT team in accordance with the company’s governance and security requirements.VPC, EC2, Security Group, Internet Gateway, NAT Instance, LAMP Stack, S3 and MYSQL.

Make Your Own Google

Assessing the reliability of your search strategy is crucial for supporting knowledge discovery and ensuring a positive user experience. Engage in a scenario resembling a company dealing with extensive data (PDF files) struggling to locate the most pertinent documents.IaaS, CI/CD, Serverless, Events, Search engine, Monitoring.

Integrate AI-powered Chatbot

Learn to deploy a chatbot using GPT APIs within an AWS Lambda function. Utilize OpenAI libraries as a dependency layer, gaining practical experience integrating advanced chatbot technology into applications. GPT APIs, AWS Lambda, OpenAI Libraries

Building Scalable and Resilient Application

Creating web applications that are both resilient and scalable is an essential part of any application architecture. A well-designed application should scale seamlessly as demand increases and decreases and be resilient enough to withstand the loss of one or more compute resources.Instance Group, Autoscaler, HTTP Load Balancer, Autohealing and Google App Engine.

Learn from the Best of Academia

Learn from leading academicians in the field of Cloud Computing and several experienced industry practitioners from top organisations.

Dr. Kumar Muthuraman

Faculty Director, Center for Analytics and Transformative Technologies, McCombs School of Business, the University of Texas at Austin

Mr. Nirmallya Mukherjee

Former Chief Architect, Dell

Mohit Batra

Founder

Antony John Paul

Platform Engineering Solution Architect, Omnicell

Samuel Baruffi

Senior Solutions Architect,AWS

Sreeharsha Nippani

Senior Manager, Solution Architecture (WWPS / Federal Financials)

Jitendra Mishra

Sr. Cloud Solution Architect (VP)

Mr. Sachin Agrawal

Consultant, Microsoft

Learner Testimonials

"I chose PG Program in Cloud Computing because the curriculum provides a good balance between theory, concepts, practice labs & loads of problem statements to work on. This course also provides a lot of reference material and mock exams to help you prepare for the AWS and Azure certifications. "

Divya G Sekhar, Senior Tech Consultant, E&Y (India)
"I got exactly what I was expecting from the program and I will always cherish this experience. And I want to thank Nirmallya for delivering the content in such a wonderful way. "

Krishnan L Narayan, Watson IoT Services Leader, IBM (United States)
"I can work independently on my own on projects, anything involved with the AWS. We started learning about the basics and then moved on to advance. It is an interactive program, and you feel like you are in a classroom. "

Nada Khamis, Senior Cloud Engineer, Edgeunity (United States)
"The industry-relevant course added a lot of value. It added to my capabilities and the overall proposition that I can give back to my company. Even my manager acknowledge my skills in this domain. "

Sugam Sharma, Telecom Market Lead, Nokia (North America)
"I chose PG Program in Cloud Computing out of all other programs in the market because of its course content. It has a detailed curriculum. After completing the course, I was more confident technically & now I can contribute a lot in delivering solutions to the customers. "

Debanjan Dey, Senior Project Manager, Tavant (India)
"This course gave me a great sense of confidence. I chose PG Program in Cloud Computing because of great reviews & feedback I had heard from people. It was a great learning experience for me. "

Amrit Raj, Java Developer, IBM (India)