Cloud Computing IN CLOUD COMPUTING ( S-CP-105 )

Month 1: Introduction to Cloud Computing & Basic Cloud Services

Week 1: Introduction to Cloud Computing

• What is Cloud Computing?
• Types of Cloud Computing: Public, Private, and Hybrid Clouds
• Cloud Computing Models: IaaS, PaaS, SaaS
• Benefits of Cloud Computing: Scalability, Flexibility, Cost Efficiency
• Cloud Computing Architecture and Components
• Overview of Leading Cloud Providers: AWS, Azure, GCP

Week 2: Cloud Deployment Models

• Overview of Deployment Models: Public, Private, Hybrid, Community Cloud
• Understanding Virtualization and Hypervisors
• Cloud Storage Services and their Types (Object Storage, Block Storage, File Storage)
• Introduction to Virtual Machines (VMs) and Containers (Docker, Kubernetes)
• Setting Up and Configuring a Cloud Account (AWS, Azure, GCP)

Week 3: Introduction to AWS (Amazon Web Services)

• Introduction to AWS Cloud Infrastructure and Global Reach
• AWS Free Tier and Console Overview
• EC2 Instances: Launching and Managing Virtual Servers
• Elastic Load Balancer (ELB) and Auto Scaling
• Overview of Amazon S3 for Object Storage
• AWS Networking: VPC (Virtual Private Cloud), Subnets, and Security Groups

Week 4: AWS Core Services

• Amazon Elastic Block Store (EBS) and Elastic File System (EFS)
• Amazon RDS (Relational Database Service)
• Amazon S3: Buckets, Permissions, and Storage Classes
• AWS IAM (Identity and Access Management): Users, Roles, and Policies
• Introduction to AWS Lambda (Serverless Computing)
• Setting up a Simple Web Application on AWS

Month 2: Advanced Cloud Services & Cloud Security

Week 5: Microsoft Azure Overview

• Introduction to Microsoft Azure Cloud
• Azure Portal and Resource Management
• Azure Virtual Machines (VMs) and Virtual Networks
• Storage Services in Azure: Blob Storage, Disk Storage, and Azure Files
• Introduction to Azure SQL Database
• Hands-On: Deploying Applications in Azure

Week 6: Google Cloud Platform (GCP) Overview

• Introduction to Google Cloud and GCP Console
• GCP Compute Engine: VM Instances and Networking
• Google Cloud Storage: Buckets, Permissions, and Object Lifecycle
• Introduction to Google Kubernetes Engine (GKE)
• Google Cloud SQL and BigQuery
• Hands-On: Deploying Applications on GCP

Week 7: Cloud Security Fundamentals

• Importance of Security in Cloud Computing
• Shared Responsibility Model in Cloud Security
• Identity and Access Management (IAM) Best Practices
• Securing Cloud Storage: Encryption at Rest and in Transit
• Cloud Security Best Practices: Multi-Factor Authentication (MFA), Encryption, Firewall Rules
• Data Backup and Disaster Recovery in the Cloud

Week 8: Cloud Governance and Compliance

• Cloud Compliance Frameworks: GDPR, HIPAA, SOC 2, PCI DSS
• Data Privacy and Sovereignty in the Cloud
• Cloud Auditing and Monitoring Tools
• Cloud Cost Management and Budgeting
• Using AWS CloudTrail, Azure Security Center, and Google Cloud Security Command Center

Month 3: Cloud Development, DevOps, and Automation

Week 9: Cloud Development Fundamentals

• Introduction to Cloud-Native Applications
• Serverless Architectures and Microservices
• Using AWS Lambda, Azure Functions, and Google Cloud Functions
• Event-Driven Development and Cloud Services Integration
• Introduction to Cloud Databases (SQL/NoSQL)

Week 10: Introduction to DevOps and Cloud Automation

• What is DevOps? Principles and Practices
• DevOps Tools: CI/CD, Jenkins, Docker, Kubernetes
• Automating Infrastructure with Infrastructure as Code (IaC) using Terraform and AWS CloudFormation
• Managing Cloud Resources with AWS CloudFormation and Azure Resource Manager
• Hands-On: Implementing CI/CD Pipeline on AWS, Azure, and GCP

Week 11: Containers and Kubernetes in the Cloud

• Introduction to Containers and Docker
• Setting Up Docker Containers and Docker Compose
• Introduction to Kubernetes (K8s)
• Kubernetes in the Cloud (EKS, AKS, GKE)
• Deploying and Managing Applications on Kubernetes in the Cloud
• Hands-On: Deploying Microservices on Kubernetes

Week 12: Serverless Computing in the Cloud

• Understanding Serverless Architecture
• AWS Lambda, Azure Functions, and Google Cloud Functions
• Serverless Databases: AWS DynamoDB, Azure Cosmos DB, Google Firestore
• Event-Driven Computing and Cloud Event Sources
• Building Serverless Applications and Deploying in the Cloud

Month 4: Cloud Infrastructure Management & Advanced Services

Week 13: Cloud Networking and Load Balancing

• Introduction to Cloud Networking Concepts
• Virtual Private Cloud (VPC) Configuration in AWS, Azure, and GCP
• Load Balancing in the Cloud: AWS ELB, Azure Load Balancer, Google Cloud Load Balancer
• Cloud VPN and Direct Connect for Hybrid Cloud Networking
• Content Delivery Networks (CDN): Amazon CloudFront, Azure CDN, Google Cloud CDN

Week 14: High Availability and Disaster Recovery in the Cloud

• Designing Highly Available Cloud Architectures
• AWS Availability Zones, Regions, and Fault Tolerance
• Disaster Recovery Planning and Implementation
• Backing Up Data in the Cloud: AWS Backup, Azure Backup, Google Cloud Storage
• Ensuring Business Continuity in Cloud Applications

Week 15: Cloud Monitoring and Performance Optimization

• Monitoring Cloud Resources and Applications
• AWS CloudWatch, Azure Monitor, Google Stackdriver
• Cost Optimization and Cloud Resource Efficiency
• Auto Scaling and Resource Scaling in Cloud
• Performance Tuning and Load Testing in Cloud Environments

Week 16: Advanced Cloud Security and Threat Management

• Advanced Cloud Security Best Practices
• Threat Detection and Incident Response in the Cloud
• Cloud Security Monitoring with SIEM Tools
• Penetration Testing in the Cloud
• Cloud Data Loss Prevention (DLP) Tools and Techniques

Month 5: Cloud Architectures & Real-World Applications

Week 17: Building Multi-Tier Architectures in the Cloud

• Introduction to Multi-Tier Cloud Architecture
• Designing Web Applications in the Cloud (Frontend, Backend, Database)
• Securing Multi-Tier Applications: Network Security, Authentication
• Using Cloud Databases for Web Applications (AWS RDS, Azure SQL, GCP Cloud SQL)
• Hands-On: Building a Multi-Tier Web Application in AWS/Azure/GCP

Week 18: Multi-Cloud and Hybrid Cloud Strategies

• Benefits and Challenges of Multi-Cloud Environments
• Managing Workloads across Multiple Cloud Providers (AWS, Azure, GCP)
• Hybrid Cloud Architecture and Solutions (On-Premises + Cloud)
• Implementing Cloud-to-Cloud and On-Premises Integration
• Real-World Use Cases: Multi-Cloud Deployments

Week 19: Cloud for Big Data and AI

• Introduction to Big Data Solutions in the Cloud
• Using AWS Big Data Services (Amazon EMR, Redshift, Athena)
• Azure Synapse Analytics and Google BigQuery
• Introduction to AI and Machine Learning in the Cloud
• Leveraging Cloud AI Services: AWS SageMaker, Azure AI, Google AI Platform

Week 20: Cloud for IoT (Internet of Things)

• IoT Architecture in the Cloud
• Cloud IoT Solutions: AWS IoT, Azure IoT Hub, Google Cloud IoT
• Data Collection, Processing, and Analytics for IoT
• Integrating IoT with Cloud Applications
• Hands-On: Building an IoT Solution on Cloud Platforms

Month 6: Capstone Project & Cloud Certifications

Week 21: Cloud Computing Capstone Project - Part 1

• Project Planning and Problem Statement Definition
• Architecting Cloud Solutions for a Real-World Business Problem
• Implementing Cloud Infrastructure and Services
• Working with Databases, Networking, and Security in the Cloud

Week 22: Cloud Computing Capstone Project - Part 2

• Developing, Testing, and Deploying Cloud Applications
• Cost Management and Performance Optimization
• Documenting and Presenting the Solution

Week 23: Preparing for Cloud Certifications

• Overview of AWS, Azure, and GCP Certifications
• Preparation for AWS Certified Solutions Architect, Azure Architect, or Google Cloud Associate Exam
• Study Materials and Resources
• Practice Exams and Review

Week 24: Final Project Presentation & Review

• Final Presentation of the Capstone Project
• Feedback and Discussion
• Exam and Certification Preparation

Eligibility Criteria for Cloud Computing Course:

1. Educational Qualification:

   • Graduates or final-year students in Computer Science, IT, Electronics, Electrical Engineering, or related fields. Non-technical candidates with an interest in learning cloud computing are also welcome.

2. Basic Knowledge:

   • Basic understanding of computer networks, operating systems, and programming concepts (preferably in Python, JavaScript, or Java).

3. Technical Skills (Optional):

   • Familiarity with databases (SQL/NoSQL) and basic knowledge of virtualization or cloud computing concepts is a plus but not mandatory.