Executive Education

Get a 360° Cloud Ecosystem Learning Experience

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AWS

Amazon Web Services

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Azure

Windows Aure

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GCP

Google Cloud Platform

Trusted by Thousands of Professionals Globally

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    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.

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    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.

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    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.

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    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

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What makes the UT Austin 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.

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Cloud Services

Prepare for top certification exams

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

Azure certification

Live mentorship
sessions

Receive personalized guidance and expert mentorship from industry-certified professionals to enhance your skills and achieve your career goals.

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Mentorship

Program Support

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

Personalised program manager

Dedicated career
support

Get access to career mentoring sessions and resume building sessions with industry experts. Show your competency with an e-portfolio.

Career Support

Empower your career with the UT Austin Post Graduate Program in Cloud Computing

Cloud Computing Completion Certificate

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* Image for illustration only. Certificate subject to change.

  • Information Systems Graduate Programs

    Information Systems Graduate Programs

    U.S. News & World report, 2022

  • Executive Education

    Executive Education

    Custom Programs by Financial Times, 2022

Elevate your skills with optional add on courses

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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

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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

AWS Solutions Architect Associate Certification Training Program is offered and delivered by Great Learning.

Syllabus designed for professionals

Master the in-demand cloud computing skills with our comprehensive PG Program, featuring a cutting-edge curriculum covering over 90 essential services.

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
  • Container - Docker
  • AWS ECS
  • Docker
  • 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 have the opportunity to work on a variety of real-world projects guided by industry experts. Projects will span various domains, including hospitality, inventory management, and more.

Unit 9

Post Graduate Certificate from the University of Texas at Austin

Upon finishing the program, you will earn a Post Graduate Certificate in Cloud Computing from the prestigious University of Texas at Austin. The comprehensive curriculum is designed to equip you with the skills and knowledge needed to excel as a Cloud Computing professional, and pave the way for career advancement at leading global companies.

Learn in-demand Cloud Computing Tools

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    Microsoft Azure

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    AWS

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    AWS Lambda

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    Azure Active Directory

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    Azure Cosmos Database

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    Google Cloud Platform

  • And More...

Build Job-relevant Skills with Hands-on Projects

  • 200+

    Projects completed

  • 50+

    Domains

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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.
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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.
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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
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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.
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DevOps Processes

DevOps is a process that combines the principles of software development (Dev) and IT operations (Ops) to enable organizations to deliver high-quality software products efficiently. The goal of this project is to familiarize yourself with the various process involved in deployment using the principles of DevOps. CI/CD, Containers, Autoscaling, IAM

Learn from the Best of Academia

Learn from the top, world-renowned Cloud Computing faculty at the University of Texas, Austin

Dr. Kumar Muthuraman - Faculty Director

Dr. Kumar Muthuraman

Professor, McCombs School of Business, UT Austin

Mr. Nirmallya Mukherjee - Faculty Director

Mr. Nirmallya Mukherjee

Former Chief Architect, Dell

Mohit Batra - Faculty Director

Mohit Batra

Founder

Antony John Paul - Faculty Director

Antony John Paul

Platform Engineering Solution Architect, Omnicell

Samuel Baruffi - Faculty Director

Samuel Baruffi

Senior Solutions Architect,AWS

Sreeharsha Nippani - Faculty Director

Sreeharsha Nippani

Senior Manager, Solution Architecture (WWPS / Federal Financials)

Jitendra Mishra - Faculty Director

Jitendra Mishra

Sr. Cloud Solution Architect (VP)

Abhay Samant - Faculty Director

Abhay Samant

Adjunct Faculty, University of Texas at Austin

Ashish Agarwal - Faculty Director

Ashish Agarwal

Associate Professor, McCombs School of Business, UT Austin

Why Our Learners Choose the Cloud Computing Program

  • "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 moreconfident technically & now I can contribute a lot in delivering solutions to the customers."

    Debanjan Dey,

  • "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,

  • "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,

  • "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,

  • "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,

  • "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 certificates. What I liked most about PG Program in Cloud Computing was the approach of delivering concepts in a holistic manner, touching all key areas. And due to all this, my ultimate objective of upskilling was met."

    Divya G Sekhar,

Program Fees

Starting at 292 USD/month*

Program Fee: 3,500 USD

Apply Now
Pay in Intsallments

Pay in Installments

Recommended

As low as 292 USD/month

for 12 months

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Payment Partners

affirm - Payment Partner Climb Credit - Payment Partner

*Subject to partner approval based on applicable regions & eligibility.

Benefits of learning from us

  • High-quality content
  • 8+ hands-on projects
  • Live mentored learning in micro classes
  • Doubt solving by industry experts
  • Live webinars by UT Austin faculty
  • Career support services
  • Additional Certificate in Python Foundations

This program helped me gain hands-on skills with guidance from industry practitioners. And this is just what employers require.

Bernard Tumanjong

Bernard Tumanjong

Information Systems Engineer U.S. Army

Admission Process

Our admissions close once the requisite number of participants enroll for the upcoming batch. Apply early to secure your seat.

  • steps icon

    1. Fill the application form

    Apply by filling a simple online application form.

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    2. Interview Process

    Go through a screening call with the Admission Director’s office.

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    3. Join program

    An offer letter will be rolled out to the select few candidates. Secure your seat by paying the admission fee.

Limited seats available

Apply today and become a cloud computing expert

Apply Now

Batch Start Date

Still have queries? Let’s Connect

Get in touch with our Program Advisors & get your queries clarified.

Speak with our expert +1 512 645 1416 or email to utcloudcomputing@mygreatlearning.com

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phone icon Application Closes 23rd Jan 2025

Delivered in Collaboration with:

The University of Texas at Austin is collaborating with Great Learning to deliver PG Program in Cloud Computing. Great Learning is an ed-tech company that has empowered learners from over 170+ countries in achieving positive outcomes for their career growth.

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