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Cloud computing courses. Distance certification programme

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Cloud computing courses. Distance certification programme Offered by: Great Lakes

Duration-  6 Months | TechnologyPost Graduation
Affiliation: NA 
Course Fees:  Rs 1,25,000/-

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Great Lakes’ PG Program in Cloud Computing (PGPCC) is focused on empowering technology professionals for fast track careers in Cloud Computing and allied technology areas. It is a 6-month exhaustive program offered online with live mentored sessions on weekends. You will understand the absolute basics of cloud computing.
You will be able to design, build and deploy cloud based solutions.
Become proficient with AWS and Azure.
Strong understanding of Containers and Microservices to architect applications.
Learn both the fundamental aspects of Big Data – Infrastructure & Analytics.
Become conversant with DevOps on Cloud.
Truly understand the power of cloud by working on multiple managed services. The PGP-CC enables learning through a combination of expert presentations, demos, and hands-on labs. You will learn to explore and deploy the kind of solutions that cloud computing professionals do.

PGP-Cloud Computing is a 6-month program offered online with live mentored sessions on weekends. IT professionals not already working with cloud technologies will gain a solid foundation while those with some cloud experience will gain a more structured and hands-on understanding of cloud technologies, including issues such as migration, deployment, integration, platform choice, architecture and TCO. The program will help you become proficient in working with a range of cloud environments, with a particular emphasis on Amazon Web Services (AWS) and Microsoft’s Azure.

CLOUD FOUNDATIONS
Introduction to Virtualization (VM’s and Containers)
Service Delivery & Deployment Models
Cloud Attributes and Services Taxonomy
Introduction to Infrastructure Automation
Key Aspects of IaaS, PaaS and SaaS
CLOUD COMPUTING ON AWS
AWS Organization & Identity
Compute, Storage & Networking
Auto Scaling, Load Balancing & Fault Tolerance
MANAGED SERVICES ON AWS
Database Services (RDS, DynamoDB)
AWS CloudWatch, Kinesis, Athena & QuickSight
AWS SNS, SQS and Trusted Advisor
Messaging & S3 events
ElastiCache & CloudFront
CONTAINERS & MICROSERVICES
Docker
Microservices
Architecture & Design Patterns
Microservices Architecture & Design
Anti Patterns
Event Driven Architecture & CQRS Framework
Migrating a Monolith
AZURE ESSENTIALS
Identity Solutions
Azure Compute Infrastructure
Azure Data Implementation
Network, Security & Operations
Managed Services – ML, AI and IoT
DEVOPS ON AWS
DevOps Foundations
DevOps on AWS – CodeCommit, CodeBuild, CodeDeploy etc.
CLOUD ADOPTION & MIGRATION
Migration Maturity Index and Enterprise Migration
API based Integration
Cloud Adoption Strategies
Application Characterization & Evaluation
Workload Analysis
Typical Migration Services
BIG DATA & CLOUD
SQL vs NoSQL Databases
NoSQL Databases – Cassandra & DynamoDB
Partitioner, Replication, Snitch
Query Driven Design & Distributed Development
Hadoop, Amazon EMR, Hive
PRIVATE CLOUD
OpenStack Essentials
CAPSTONE PROJECT
A group project that allows you to apply your learning to real industry use cases and add it to your portfolio for potential employers to see as a tangible body of work

Applicants should have a minimum of 3 years of experience in a technology role with exposure to one or more of these skill sets – Systems Administration, Network Engineering, Database Administration, ITSM, Infrastructure Engineering, Software Development, Testing/QA, Maintenance & Tech Support.

Interested candidates need to apply by filling a simple Online Application Form.
Applicants meeting the eligibility criteria receive a screening call from the Admission Director’s office
Admission Director reviews the screening call discussion and applicant’s profile.
The announcement of results, followed by the release of admission offer letter.

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