POSTGRADUATE PROGRAM IN CLOUD COMPUTING 6 MONTHS | ONLINE | LIVE MENTORSHIP SESSIONS | HANDS-ON PROJECTS POSTGRADUATE PROGRAM IN CLOUD COMPUTING UT Austin's Postgraduate Program in Cloud Computing is offered in collaboration with Great Learning. This program focuses 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 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 professional. Through a combination of expert lectures, demos, hands-on labs, and projects, you will build solutions the industry expects from you as an expert cloud professional. PROGRAM RATING* 4/5 *1722 participants 02 THE FUTURE IS CLOUD $600 BILLION Estimated public cloud spending by 2023. *Gartner 81% Companies have a multi-cloud strategy. *Gartner 100+ ZETTABYTES Estimated amount of data stored in the cloud by 2025. *Cybersecurity Ventures $1240.9 BILLION Estimated cloud computing market size by 2027. *MarketsandMarkets 03 IF YOU CHOOSE THIS PROGRAM, YOU WILL: 01 Become a cloud professional with the ability to work on platform-agnostic and cloud-based solutions for organizations. 04 Get a better understanding of Cloud Financial, Adoption & Migration Patterns and learn to make trade-off decisions for your customers. 02 Become proficient in AWS and Microsoft Azure with an option to learn Google Cloud. 03 Be able to work with Containers, Microservices, DevOps, Cloud Design Patterns, and Openstack. 05 Understand Big Data and Architectural Styles to realize the value of data insights for your organization and customers. 06 Get access to an optional Developer Track to hone your skills (only for developers with work experience). 04 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. Access to Learning Content Beyond Graduation Continue learning even after completion of the program. Capstone Project Comprehensive Curriculum Specialize in cloud concepts & domains by working on a set of use cases inspired by real-life industry problems. The program covers a diverse yet relevant set of concepts and technologies that prepare you well beyond just industry certifications. Lecture Notes Certificate Apart from videos, demos and mentoring sessions, you will also get access to course notes for an overview of concepts before interviews. Get a Postgraduate Certificate from the University of Texas at Austin. 05 CERTIFICATE OF COMPLETION Get a globally-recognized Postgraduate Certificate from the McCombs School of Business at UT Austin. The University of Texas at Austin Conferred to attest that John Doe E L P M SA has successfully completed the Postgraduate Program in Cloud Computing presented by the McCombs School of Business February 2022 Gaylen Paulson, Ph.D. Associate Dean and Executive Director Texas Executive Education Kumar Muthuraman, Ph.D. Faculty Director, Business Analytics and AI Programs Texas Executive Education All certificate images are for illustrative purpose only. The actual certificate may be subject to change at the discretion of the University. 06 GET THE GREAT LEARNING ADVANTAGE Great Learning is a leading professional learning and higher education platform. When you choose this program, you also get access to Great Learning’s extensive pool of industry experts and dedicated career assistance. 6.6 MILLION+ LEARNERS 5600+ INDUSTRY EXPERT MENTORS 170+ COUNTRIES 2400+ COMPANIES HIRE FROM US BEST ED-TECH COMPANY OF THE YEAR* *Indian Education Awards 2022 *EdTech Review Awards 2020 BEST ONLINE SKILLS PROVIDER* *Education Innovation Awards 2022 E-PORTFOLIO An e-portfolio is a snapshot of all the projects done and skills acquired during the program that is shareable across social media channels. This will help you showcase your expertise to potential recruiters. PREPARATION Build your resume to highlight your skills and your previous professional experience. Also, learn how to crack interviews with interview preparation sessions. CAREER GUIDANCE Get access to mentorship from industry experts and benefit from their guidance on how to build a rewarding career. 07 PROGRAM CURRICULUM FOUNDATIONS Cloud Primer (Preparatory Work Course) • Basic Python for Cloud Cloud Foundations • Introduction to Virtualization • Basic Linux (VM’s and Containers) • Service Delivery and Deployment Models 1 Quiz • Cloud Attributes and Services Taxonomy • Introduction to Infrastructure Automation • Key Aspects of IaaS, PaaS and SaaS AWS SPECIALIZATION Cloud Computing on AWS • Compute, Load Balancing, Autoscaling • Storage, Replication and Life Cycle 1 Quiz Management • AWS Organization and Identity 1 Project • Networking and Data Migration Managed Services on AWS • Databases (RDS, DynamoDB) • Web Application Firewall • SNS, SQS, Cloudwatch 1 Quiz • Athena, Quicksight and Kinesis • Serverless (Lambda) 1 Project • AWS Cognitive Services (Rekognition, Comprehend & Polly) 08 Containers & AWS DevOps • Docker • Elastic Container Service (ECS) 1 Quiz • Deployment Pipeline (AWS Code Commit, AWS Code Deploy, AWS Code Pipeline) 1 Project • CloudFormation • Terraform Enterprise Cloud Solutions (Self-Paced Module) • Data Architecture and Serverless Approach • Setting up a Cloud Based Development Environment • Data Streaming and Data Analytics on Cloud • Setting up Kinesis Data Stream • Platform as a Service - Elastic Beanstalk • Step Functions • Elasticsearch Solutions Architect • Networking • Managed Services Overview • Security Application Developer • Architecture & DevOps • Platforms • Data & Databases • Web, Mobile & Gaming 09 MICROSOFT AZURE Azure Infrastructure 1 Quiz | 2 Projects • Introduction to Azure & its Services • Azure Virtual Machines (Networking Components, Configuring High Availability, Scale sets, Autoscaling, etc.) • Storage (Blob Storage, Azure Files) • Virtual Networking (Networking Options, VNet Peering, VNet to VNet Setup) • Active Directory (Basics on Azure AD & AD Connect) • Azure Resource Manager (Building AR Template, PowerShell, CLI, Cloud Shell Usage) Azure Security Solutions • Load Balancing (Azure Load Balancer, Application Gateway, WAF, Azure Traffic Manager) • Network Security (Network Security Groups, Azure Bastion, Firewall) • Security & Governance Solutions Azure Solutions for Apps • Azure App Services (Web Apps, Azure Functions, Logic Apps) • API Management • Container-based Applications Messaging & Event-Based Services (Service Bus, Event Hub, Event Grid) • Azure DevOps • Monitoring (Monitoring options, Metrics, Service Health, Activity Log, Alerts, Configuring Log Analytics and Diagnostic Logging, Configuring App Insights) Azure Data Platforms • Cosmos DB (Introduction, Working with Core SQL API, Global Distribution (replicas), Throughput, Consistency, Partitioning, Connect via Azure Function/VM2) • SQL Database (Database Options & Models) • Data Services Intro (Azure Data Factory, Synapse, Databricks, Stream Analytics) 10 Azure ML Services (Self-Paced Module) • Azure ML Services • AI Services offered on Azure • Azure ML Studio • Azure ML & Loading Data • Data Manipulation • Visualizing Categorical Data • Visualizing Numerical Data, etc. MICRO SERVICES (SELF - PACED MODULE) • Expectations and Characteristics • Failures, Modelling Challenges, Load Balancing • The 12-factor App • Architecture and Design Patterns • Anti Patterns • Event Driven Architecture • Security Enforcement • Migrating a Monolith BIG DATA ANALYTICS (SELF - PACED MODULE) • Concepts of NoSQL • NoSQL Databases (Cassandra and DynamoDB) • Partitioner, Replication, Snitch • Query Driven Design and Distributed Development • Amazon EMR, Hadoop and Hive GOOGLE CLOUD PLATFORM (SELF - PACED MODULE) • Regions, Resources and Services Overview • Google Compute Engine, Instance Groups, Load Balancing and Autoscaling • Storage and Networking • Google Cloud and Cloud SDK • Google App Engine • Google Kubernetes Engine 11 CLOUD SECURITY & MIGRATION (SELF - PACED MODULE) • AWS Organizations • Security Services (Trusted Advisor, Data Encryption, Amazon Inspector, AWS Config, Guard Duty, Amazon Macie) • Identity and Access Control • Application User Management (AWS Cognito Cost Explore) • Cloud Migration Strategy • Migration Maturity Index • API-based Integration • Workload Analysis PRIVATE CLOUD (SELF - PACED MODULE) • OpenStack Essentials CAPSTONE PROJECT (OPTIONAL) • A group project that allows you to apply your learning to real-world case studies and add it to your portfolio for potential employers to see as a tangible body of work. 12 SAMPLE HANDS-ON PROJECTS* 01 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. Concepts: VPC, EC2, Security Group, Internet Gateway, NAT Instance, LAMP Stack, S3 and MYSQL. 02 BUILDING AN AUTOMATED BUSINESS PROCESS USING MANAGED SERVICES ON A PUBLIC CLOUD In the connected world, it is imperative that the organizations are interlinked with the customers and vendors. This process has been very sluggish, manual, batch-based, and prone to failures. Such integration design has led to impaired decision-making and delays in the detection of fraudulent actions. This project created an automated, event-based, real-time process using managed cloud services that do not have these limitations. Concepts: Amazon S3, SNS, Athena and DynamoDB. 03 DEPLOYING WEB APP USING ECS In the last decade, small and large enterprises have invested heavily in developing bespoke applications. Since these applications have been built and enhanced over a while, they are complex and any form of re-engineering to convert it to smaller, modular, and independently hosted services are difficult. Managed Container Services from cloud providers allow predictable and reproducible packaging of such apps. This project moved & deployed a classical web app to AWS ECS containers. 04 BUILDING SCALABLE AND RESILIENT APPLICATIONS 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. Concepts: Instance Group, Autoscaler, HTTP Load Balancer, Autohealing and Google App Engine. 13 05 SCALABLE GEO-DISTRIBUTED EVENT REGISTRATION APP ON MICROSOFT AZURE The application is a multi-tenant web application that can onboard thousands of corporates and millions of end-users. The app is globally available with automatic geo-failover, as any downtime may cost revenue loss to business as end-users will not be able to register. Email notifications are sent to end-users after successful registration with relevant event information. Concepts: AppServer Instances, Azure Active Directory, Functions and CDN. 06 BUILD A DOCUMENT MANAGEMENT SYSTEM ON CLOUD Enterprise information is primarily captured either in a structured manner or an unstructured manner. Databases have been very efficient in handling structured data and allowing the business users flexibility to access the raw data. However, when it comes to handling unstructured data storage, management will have less than the desired outcome if the system used is optimized for structured data. We created a process and a Document Management System that allows the enterprise to organize, catalogue and fetch data in an intuitive manner. Concepts: AppServer Instances, Azure Active Directory, Functions and CDN. 07 CLOUDFORMATION | AWS CLI Creating multiple containers and custom docker image. Concepts: AWS CLI, CloudFormation, CloudFormation Template and CloudFormation Stack. 08 CASSANDRA SETUP AND MASTERLESS CONCEPTS Install multi-node Cassandra cluster, induce failure, create keyspace/table and access from the client. Concepts: Cassandra and Big Data. *Sample Projects 14 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. 15 PROGRAM FACULTY & INDUSTRY MENTORS Dr. Kumar Muthuraman Faculty Director, Center for Research and Analytics Prof. Abhay Samant Adjunct Faculty, Dept. of Electrical and Computer Engineering Prof. Dan Mitchell Clinical Assistant Professor, Dept. of Information, Risk & Operations Management Nirmallya Mukherjee Former Chief Architect Prof. Ashish Agarwal Associate Professor, Dept. of Information, Risk & Operations Management Mohit Batra Founder, Crystal Talks 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. 16 Raghu Raman Sachin Agarwal Big Data and Cloud Expert Software Engineer Bhuvaneswari Subramani AWS Community Hero, Director Atul Sharma Global Solution Architect 17 STUDENTS SPEAK “The program was very rigorous and well-paced, and has given me a strong foundation to work on any cloud-based assignments with confidence. It exceeded my expectations and provided a comprehensive understanding of the entire cloud ecosystem.” Lorenz Daniel Vijay, Principal Software Engineer “I did not have an IT background, and was skeptical of transitioning to the IT sector. This program made it easy for me, thanks to the weekly mentorship sessions and constant support from the Great Learning advisors.” Scott Singer, Account Manager “Thank you, team. Both lecture videos and the learning material are excellent resources. The weekend mentorship session with Samuel Baruffi was amazing. Looking forward to learning through other programs from Great Learning.” Alex Anastopoulos, Senior Network Engineer 18 ADMISSION DETAILS The admission process is conducted on a rolling basis and will be closed once the requisite number of candidates are enrolled in the program. Fill up an online application form. Eligible applications will go through a screening call. Review of the application form. Release of the offer letter. ELIGIBILITY The applicants should have a minimum of 3 years of experience in a technology role which includes exposure to development, testing/quality assurance, maintenance, database administration, and technology infrastructure management. TUTION FEE BREAK-UP Admission Fee $ 500 1st Installment $ 1000 2nd Installment $ 1000 3rd Installment $ 1000 Total $ 3,500 For more information on payments, please contact our admissions office at +1 (512) 645-1416 19 READY TO ADVANCE YOUR CAREER? CONTACT US Speak to a Program Advisor- +1 (512) 645-1416 Email Us- utcloudcomputing@mygreatlearning.com Visit Our Website- www.mygreatlearning.com
