Post-Graduate Program in Cloud
Computing
Build Your Career Skill Set With Cloud Computing
- 6 months
- UT Austin Cloud Computing
- Certificate Interactive Online Mentorship
Now with Applied AI on Cloud
360˚Understanding of Cloud Ecosystem
AWS
Amazon Web Services
Azure
Windows Azure
GCP
Google Cloud Platform
1000+ Careers Transformed
Ashok Kumar Natarajan
Senior Technical Account Manager
Awesome learning model and process helped me clear the elaborate interviews of Amazon
Sandhyarani Leishnagthem
Business System Analyst/PM
Well-structured program outline that covers the modules that I was looking for : AWS, AZURE, GCP, DevOps Containers
Omar A Omar
Site Reliability Engineer
The program led me to earn 2 professional certificates, AWS Solutions Architect Associate and Azure -900 certificate.
Elmer Ibayan
Consultant
Taking this course gave me a better picture of the actual cloud landscape
Hannan Javid
Excellent opportunity for the IT professional looking to upscale their career path
Amit Kashikar
Data Governance Analyst/Architect
This course helped me transition at cloud based data services
Kunal Kaul
Data Analyst
I was able to grab a new job with one of the big finance company in Melbourne, Australia for a cloud project
Don Tuaro
Product Owner and Engineer
Dedicated program support helped me stay on track & get Certified
Anson Thomas
Principal Site Reliability Engineer
One of the most rewarding programs, with hands-on labs and projects with live weekend mentor sessions
Rigo Pedraza
Information Technology Project Manager
This program along with training definitely did help me to find a new job
Roshini G
Associate Technical Support Engineer
I got hands-on experience in whatever I learnt
Uzma Jilani
Forward Deployed Engineer
I started passing interviews for cloud data engineering roles & landed a new job
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.
VIEW CURRICULUMPrepare 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 EXPERIENCENetworking and program
support
A dedicated program manager guides you through any issue related to the program — dates, assignments, fees, and application.
VIEW BATCH PROFILEDedicated career
support
As leaders in the technology space, we provide personal mentors, networking and program support, and a university-grade syllabus.
Join the Most Comprehensive Cloud Computing Program & Transform your Career
Cloud Computing Completion Certificate
#6 Information Systems Graduate Programs, U.S. News & World report, 2022
#6 Executive Education - Custom Programs, Financial Times, 2022
For any feedback & queries regarding the program, please reach out to us at utcloudcomputing@mygreatlearning.com
#6
Executive Education - Custom Programs
Financial Times,
2022
#6
Information Systems Graduate Programs
US News & World Report, 2022
Ace Microsoft Azure Administrator 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
Microsoft Azure Administrator (AZ-104) Certification Training Program is offered and delivered by Great Learning.
Comprehensive Curriculum
PG Program in Cloud Computing has the most comprehensive curriculum with 90+ services being covered.
300+ hrs
Learning content
90+
Cloud services
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.
- 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
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.
- 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.
- AWS global infrastructure
- EC2, Load Balancers, AMI
- EBS, S3, EFS, Volumes, Snapshots
- VPC, NAT, Bastion Hosts, Route53
- Identity & Access Management
- Cost Calculator
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.
- 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.
- AWS RDS
- AWS Elasticache
- AWS CloudWatch
- SQS, SNS
- AWS Lambda
- Container - Docker
- AWS ECS
- DevOps on AWS
- CI/CD
- Application deployment
- AWS Cloud Formation
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 the Azure.
- Understand basic concepts of Azure Cloud Platform
- Learn Azure Compute Infrastructure
- Learn about Network & Operations
- Understand Azure Serverless Computing
- 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
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.
- Learn about Azure Data Implementation
- Learn about Network & Operations
- Understand Azure Cognitive Services
- Learn about Azure Security & Governance
- Understand Azure DevOps
- Azure Active Directory
- Azure AD Connect
- Security & Governance
- Azure SQL Database
- Cosmos DB
- Messaging & Event Based Services
- Data Services Intro
- Building ARM Templates
- Azure DevOps
- Cost Management & Monitoring
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.
Concepts: AI Services Landscape on Cloud, Machine Learning on AWS, AWS AI Services (Artificial Intelligence), Azure Machine Learning (ML)
Concepts: Cloud Adoption and Migration, Cloud security on AWS
Concepts: EMR, Hadoop, Spark
Concepts: Basic Constructs, Interservice Communication, Operations, Failure Handling, 12-factor App, Load Balancing, Event Driven Architecture, Reactive Extensions, Logging, and security.
Concepts: Cloud- based Development Environment, Data Streaming and Data Analytics on Cloud, Kinesis Data Stream, Elastic Beanstalk, and Kubernetes.
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.
Concepts: Azure Active Directory, Key Vault, Azure Governance services, Managed Identities and Azure Governance services
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.
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.
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
Build Job-relevant Skills with Hands-on Projects
Transform theoretical knowledge into tangible skills by working on multiple hands-on exercises under the guidance of industry experts. Below are samples of potential project topics:
1000+
Projects completed
22+
Domains
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, Centre for Research and Analytics
Mr. Nirmallya Mukherjee
Former Chief Architect, Dell
Mohit Batra
Founder
Antony John Paul
Platform Engineering Solution Architect, Omnicell
Sachin Trivedi
Enterprise Cloud Architect,AWS
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)
Program Fees
Postgraduate Program in Cloud Computing
- Personalized weekend online mentoring sessions
- 6 months fully online program
- 300+ hours of overall learning
- 15+ real-world industry relevant projects
- 90+ services covered in the curriculum
- Live doubt-clearing with expert mentors
- Globally recognized certificate from the University of Texas at Austin
Start learning cloud-computing with easy monthly installments, with flexible payment tenures as per your convenience. Reach out to the admissions office at +1 512 645 1416 for more details.
*Subject to partner approval based on regions & eligibility. dLocal for Brazil, Colombia & Mexico learners. Other partners for U.S. learners only.
Application Process
Fill the application form
Apply by filling a simple online application form.
Interview Process
Go through a screening call with the Admission Director’s office.
Join program
An offer letter will be rolled out to the select few candidates. Secure your seat by paying the admission fee.
Upcoming Application Deadline
Admissions are closed once the requisite number of participants enroll for the upcoming cohort . Apply early to secure your seat.
Deadline: 4th Jul 2024
Apply NowReach out to us
We hope you had a good experience with us. If you haven’t received a satisfactory response to your queries or have any other issue to address, please email us at
help@mygreatlearning.comBatch Start Dates
Online
To be announced
Frequently Asked Questions
At the end of the Cloud Computing program, 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.
- Build the ability to use NIST Cloud Reference Architectures to solve various 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 for your clients and technology teams.
- Build your professional toolkit to become an effective DevOps professional.
UT Austin's PG Program in Cloud Computing goes well beyond preparing you for AWS. From the fundamentals of Cloud Computing to advanced concepts, the course helps you gain a strong conceptual understanding of the entire cloud ecosystem. You can Watch this video to learn more.
The faculty members teaching in the PG Program in Cloud Computing from UT Austin 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.
UT Austin’s Cloud Computing Program 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. Learners can also participate in a 4-week optional capstone project that tests their knowledge acquired throughout the program.
Virtual labs are real cloud environments which you will be using in this program, not a simulation. For AWS, you will get an AWS lab account with promotional credits. For Azure, you will be guided on how to create a Free tier Azure account.
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.
UT Austin’s 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.
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 a recorded video.
All virtual sessions are conducted through Zoom, an online collaboration platform. During mentor sessions, using the chat feature, you can ask questions directly to faculty members, and share messages and useful links with your classmates as well.
All projects are mandatory evaluation components.. If you fail to complete a project, it is important that you repeat it.
Candidates should have at least 3+ years of experience in an 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, and Linux. Also, prior exposure to public or private cloud environments, or infrastructure and network management is a plus.
No. The PG Program in Cloud Computing by UT Austin 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. You will also get additional resources containing material which can help you crack the AWS and Azure certifications.
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 payment partners include Paypal, Affirm, and Uplift We ensure money is not a constraint in the path of learning.
Yes. You can pay the course fee in 2-3 easy installments. If you make a one-time full payment you would be entitled to a discount. Please check with the admissions office for more details.
- All interested candidates are required to apply to the Post Graduate Program in Cloud Computing by filling up an Online Application Form.
- Applicants meeting the eligibility criteria receive a screening call
- The applications are carefully reviewed on the basis of the screening call and the applicant’s profile
- The admission offer letter is released after a successful review of the application.
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Still have queries? Contact Us
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