Cloud Computing I

Description

Cloud Computing Syllabus

This syllabus covers fundamental and advanced concepts in Cloud Computing, including cloud services, deployment models, and cloud platforms like AWS, Microsoft Azure, and Google Cloud.

Duration : 240 Hrs

---

1. Introduction to Cloud Computing

• Definition and Characteristics of Cloud Computing

• History and Evolution of Cloud Computing

• Benefits of Cloud Computing (Scalability, Cost Efficiency, Flexibility)

• Cloud Service Models:

  • IaaS (Infrastructure as a Service)

  • PaaS (Platform as a Service)

  • SaaS (Software as a Service)

• Cloud Deployment Models:

  • Public Cloud

  • Private Cloud

  • Hybrid Cloud

  • Multi-Cloud Strategy

---

2. Virtualization and Cloud Infrastructure

• Virtualization Concepts

• Hypervisors: VMware, Hyper-V, KVM

• Containers vs Virtual Machines

• Docker and Kubernetes Basics

• Serverless Computing Overview

---

3. Cloud Service Providers Overview

• Amazon Web Services (AWS)

• Microsoft Azure

• Google Cloud Platform (GCP)

• IBM Cloud, Oracle Cloud, and Other Providers

• Comparing Different Cloud Service Providers

---

4. Microsoft Azure (Focus on .NET Developers)

• Introduction to Microsoft Azure

• Azure Subscription & Pricing Models

• Azure Virtual Machines

• Azure App Services (PaaS)

• Azure Functions (Serverless)

• Azure Blob Storage & SQL Databases

• Azure Kubernetes Service (AKS)

• Azure Identity & Security (Active Directory, RBAC)

• Azure DevOps & CI/CD Pipelines

• Monitoring & Logging with Azure Monitor

---

5. AWS (Amazon Web Services) Overview

• AWS Account Setup & Billing

• AWS EC2 (Elastic Compute Cloud)

• AWS S3 (Simple Storage Service)

• AWS Lambda (Serverless Computing)

• AWS RDS (Relational Database Service)

• AWS IAM (Identity & Access Management)

• AWS CloudFormation (Infrastructure as Code)

• AWS CI/CD with CodePipeline

• AWS Monitoring (CloudWatch, CloudTrail)

---

6. Google Cloud Platform (GCP) Basics

• GCP Overview & Pricing

• Compute Engine & App Engine

• Google Kubernetes Engine (GKE)

• Google Cloud Storage

• Google BigQuery & Data Analytics

• Cloud Functions & Firebase

---

7. Cloud Security and Compliance

• Cloud Security Fundamentals

• Identity & Access Management (IAM)

• Encryption in Cloud (Data at Rest & Data in Transit)

• Cloud Firewalls & Network Security Groups

• Compliance Standards (ISO, GDPR, HIPAA, SOC2)

---

8. Cloud DevOps & Automation

• Infrastructure as Code (IaC)

  • Terraform

  • Ansible

  • Azure Resource Manager (ARM)

• CI/CD Pipelines in Cloud

  • Azure DevOps

  • AWS CodePipeline

  • Jenkins

• Monitoring & Logging

  • Prometheus & Grafana

  • ELK Stack (Elasticsearch, Logstash, Kibana)

---

9. Advanced Cloud Topics

• Multi-Cloud & Hybrid Cloud Strategies

• Edge Computing & IoT in Cloud

• Big Data & AI/ML in Cloud (AWS SageMaker, Azure ML)

• Cloud Cost Optimization

• Disaster Recovery & Backup Strategies

---

10. Cloud Computing Capstone Project

• Real-World Cloud Deployment

• Build and Deploy a Full-Stack Web Application on the Cloud

• Implement CI/CD Pipeline & Monitoring

• Apply Security Best Practices

---

This syllabus can be customized based on your focus (Azure, AWS, DevOps, Security, etc.). Let me know if you want a deeper dive into any specific topic! 🚀