POST GRADUATE PROGRAM IN CLOUD COMPUTING

1 POST GRADUATEPROGRAM INCLOUD COMPUTINGPGP-CC | 6 Months Online ProgramGreat Learning's Post- GRADUATE PROGRAM in CLOUD COMPUTING is o ered in collaboration with the University of Texas at Austin - McCombs School of Business. This PROGRAM focuses on empowering professionals to fast-track careers in CLOUD COMPUTING . In this 6-months 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 architect. 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 PROGRAM INCLOUD COMPUTINGPROGRAM **1037 participants02 THE FUTURE IS CLOUDof companies have a multi- CLOUD strategytoday* is the estimated growthpredicted in the cloudinfrastructure market in2021*is the estimated publiccloud spending by2023* $ 500 BILLION83%81%*CenturyLink and Statista*Gartner*Forrester Research03IF YOU CHOOSETHIS PROGRAM , YOU WILL.

2 010203040506 Become a CLOUD professional with the ability to work onplatform-agnostic and CLOUD -based solutions for proficient in AWS and Microsoft Azure with an option to learn Google Big Data andArchitectural Styles to realize the value of data insights for your organization and access to an optional Developer Track to hone your skills (only fordevelopers with work experience).Be able to work with Containers, Microservices, DevOps, CLOUD Design Patterns, and a better understanding of CLOUD Financial, Adoption & Migration Patterns and learn to make trade-o decisions for your Labs & ProjectsSolve and build more than 15 use cases through labs andprojects across various CLOUD ProjectAccess to Learning ContentBeyond GraduationContinue learning even after completion of the NotesApart from the videos, demos, and mentoring, you ll also,access course notes for a quick overview of conceptsbefore your interviews.

3 CertificateGet a PG Certificate from the University of Texasat CurriculumThe PROGRAM covers a diverse yet relevant set ofconcepts and technologies that prepare you wellbeyond just industry in CLOUD concepts & domains by working on a set of use cases inspired by real-life industry MAKES THE CLOUDCOMPUTING PROGRAM UNIQUE?05 Get a globally recognized PG Certificate from the University ofTexas at Austin - McCombs School of FROM UT AUSTINC ertificate Image is for representational purposes actual certificate image may 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.

4 Million+ Learners 2600+ Faculty & Industry Experts 170+ Countries 500+ Hiring Partners Best E-Learning Company of the Year**EdTec h Review Awar ds THE GREAT LEARNING ADVANTAGEE-PORTFOLIOWe help you build your resume to highlight your skills and your previous professional experience. You'll also learn to crack interviews with our interview preparation BUILDING AND INTERVIEWPREPARATIONG reat Learning is India s 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 access to career mentoring from industry experts who ve transitioned to important roles in the industry.

5 CAREER GUIDANCEFOU N DATION SAWSS PECIALIZ ATIONPROGRAMCURRICULUMB asic Python for CloudBasic LinuxCloud Primer (Preparatory WorkCourse)Compute, Load Balancing, AutoscalingStorage, Replication and Life CycleManagementAWS Organization and IdentityNetworking and Data migrationDatabases (RDS, DynamoDB)Web Application FirewallSNS, SQS, CloudwatchAthena, Quicksight and KinesisServerless (Lambda) CLOUD COMPUTING on AWSM anaged Services on AWSI ntroduction to Virtualization(VM s and Containers)Service Delivery and Deployment ModelsCloud Attributes and Services TaxonomyIntroduction to Infrastructure AutomationKey Aspects of IaaS, PaaS and SaaSCloud Foundations1 Quiz1 QuizNetworkingManaged Services OverviewSecuritySolutions ArchitectArchitecture & DevOpsPlatformsData & DatabasesWeb, Mobile & GamingApplication DeveloperData Architecture and Serverless approachSetting up a CLOUD Based DevelopmentEnvironmentData Streaming and Data Analytics on cloudSetting up Kinesis Data StreamPlatform as a service - Elastic BeanstalkStep FunctionsElasticsearchEnterprise CLOUD Solutions(Self-Paced Module)AWS Cognitive Services (Rekognition,Comprehend & Polly)

6 1 Quiz1 Project1 Quiz1 Project1 ProjectDockerElastic Container Service (ECS)Deployment Pipeline (AWS Code Commit,AWS Code Deploy, AWS Code Pipeline)CloudFormationTerraformContaine rs & AWS DevOps07 MICROSOFTAZUREI ntroduction to Azure & its servicesAzure Virtual Machines (NetworkingComponents, 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 ARMtemplate, Powershell, CLI, CLOUD shellusage)Azure Infrastructure1 Quiz2 ProjectsLoad Balancing (Azure Load Balancer,Application Gateway, WAF, Azure Tra cManager)Network Security (Network SecurityGroups, Azure Bastion, Firewall)Security & Governance SolutionsAzure Security SolutionsCosmos DB (Introduction, Working withCore SQL API, Global distribution (replicas),Throughput, Consistency, Partitioning,Connect via Azure function/VM2)SQL Database (Database options & models)

7 Data Services Intro (Azure Data Factory,Synapse, Databricks, Stream Analytics)Azure Data PlatformsAzure ML ServicesAI Services O ered on AzureAzure ML StudioAzure ML & Loading dataData ManipulationVisualizing Categorical DataVisualizing Numerical Data, ML Services(Self-Paced Module)Azure App Services (Web Apps, AzureFunctions, Logic Apps)API ManagementContainer-based ApplicationsMessaging & Event-Based Services(Service Bus, Event Hub, Event Grid)Azure DevOpsMonitoring (Monitoring options, Metrics,Service Health, Activity Log, Alerts,Configuring Log Analytics and Diagnosticlogging, Configuring App Insights)Azure Solutions for Apps08 Expectations and CharacteristicsFailures, Modelling challenges,Load balancingThe 12-factor appArchitecture and Design PatternsAnti PatternsEvent Driven ArchitectureSecurity EnforcementMigrating a monolithConcepts of NoSQLNoSQL Databases (Cassandra andDynamoDB)

8 Partitioner, Replication, SnitchQuery Driven Design and DistributedDevelopmentAmazon EMR, Hadoop and HiveRegions, Resources and Services OverviewGoogle Compute Engine, Instance Groups,Load Balancing and AutoscalingStorage and NetworkingGCloud and CLOUD SDKG oogle App EngineGoogle Kubernetes EngineAWS OrganizationsSecurity services (Trusted Advisor, Dataencryption, Amazon Inspector, AWS Config,Guard Duty, Macie)Identity and Access ControlApplication user management (AWS CognitoCost ExploreCloud Migration StrategieMigration Maturity IndexAPI based integrationWorkload AnalysisOpenStack Essentials09 MICROSERVICESBIG DATAANALYTICS(SELF-PACED MODULE)GOOGLE CLOUDPL ATFOR M(SELF-PACED MODULE)(SELF-PACED MODULE) CLOUD SECURITY& MIGRATION(SELF-PACED MODULE)PRIVATE CLOUD (SELF-PACED MODULE)A group project that allows you to applyyour learning to real industry use casesand add it to your portfolio for potentialemployers to see as a tangible bodyof workCAPSTONEPROJECT(OPTIONAL)SAMPLE HANDS-ONPROJECTSC loud-Based File Share andSync SolutionThe 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.)

9 VPC, EC2, Security Group, Internet Gateway, NAT instance, LAMP stack, S3 and : Amazon S3, SNS, Athena and DynamoDB. 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 an Automated Business Process Using Managed Serviceson a Public Cloud02In the last decade, small and large enterprises have invested heavily in developing bespoke applications.

10 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 di cult. 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 Web App UsingECS031011 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 Scalable and ResilientApplicationsConcepts: Instance Group, Autoscaler, HTTP Load balancer, Autohealing and Google App Engine.