Cloud Computing

Course Rate: INR 28000.00

Duration: 4 Months

About the Course:

. Introduction to Cloud Computing

Definition and evolution of the cloud computing paradigm

NIST’s five essential characteristics: on-demand self-service, broad network access, resource pooling, rapid elasticity, measured service
Wikipedia

Cloud service models: IaaS, PaaS, SaaS

Deployment models: Public, Private, Hybrid, Community
mage.umd.edu
Coursera
apps.ep.jhu.edu

Benefits, challenges, economics, SLAs, and common use cases
CMU School of Computer Science
@knowledgehut
apps.ep.jhu.edu

2. Cloud Infrastructure & Virtualization

Anatomy of data centers: compute, storage, networking, redundancy, efficiency
@knowledgehut
mage.umd.edu

Virtualization fundamentals: CPU, memory, I/O — practical cases from Xen, VMware, Amazon EC2
CMU School of Computer Science
mage.umd.edu
web.stevens.edu

Containers and orchestration: Docker, Kubernetes, serverless/FaaS platforms
mage.umd.edu
Coursera
Wikipedia

3. Cloud Storage & Distributed Systems

Storage types: object, block, and file systems

Case studies: S3, Swift, CephFS, HDFS, DynamoDB, MongoDB, Cassandra, HBase
CMU School of Computer Science
@knowledgehut
College of San Mateo

Distributed systems concepts: MapReduce, Spark, GraphLab, Pregel
CMU School of Computer Science
College of San Mateo

Software-Defined Networking (SDN) & Storage (SDS)
CMU School of Computer Science
mage.umd.edu

4. Cloud Computing Architecture

Front-end and back-end components: clients, servers, storage, networking
Wikipedia

Cloud-native architecture: microservices, immutable infrastructure, automation
Wikipedia

5. Security, Identity & Compliance

Fundamentals of cloud security and its shared responsibility model
Wikipedia

Threats and vulnerabilities: virtualization risks, data loss, malware, DoS, side-channel attacks
Wikipedia

Identity & Access Management (IAM), encryption, penetration testing, compliance standards (HIPAA, PCI-DSS, FISMA)
Wikipedia

6. Networking, Scalability & Infrastructure Management

Virtual networking: subnets, virtual private clouds, load balancing, auto-scaling, high availability
mage.umd.edu

Cloud performance: metrics, monitoring, logging, reliability, cost optimization strategies
mage.umd.edu

7. DevOps, CI/CD & Serverless

DevOps tools and methodologies in the cloud — continuous integration, continuous delivery, infrastructure as code
mage.umd.edu
Coursera

Serverless computing architectures and how they operate
mage.umd.edu
Coursera

8. Cloud Migration, Multi-Cloud & Governance

Strategies for choosing providers (AWS, Azure, GCP), planning migration, cost management and cloud governance
mage.umd.edu
Grambling State University

Introduction to multi-cloud and hybrid deployments, ethical and legal considerations
Grambling State University

9. Hands-On Labs & Practical Projects

Coursework with AWS, Azure, or GCP: deploying apps, provisioning infrastructure, scaling workloads
San José State University
CMU School of Computer Science
mage.umd.edu
College of San Mateo

Projects exploring CI/CD pipelines, containerized architecture, or cloud migration

Midterm/final group projects emphasizing design, deployment, security, and cost-efficiency
CMU School of Computer Science
NJIT
mage.umd.edu

10. Emerging Trends & Cloud Strategy

Multi-cloud, hybrid-cloud models, cloud-native application design, IoT/AI/Blockchain in cloud
Coursera
Wikipedia

Sustainability, green computing, serverless optimization, future directions in cloud