1-Month Cloud Computing Internship

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Cloud Computing Internship Program – 1 Month Module

Week 1: Introduction to Cloud Computing and Fundamental Concepts

• Module 1: Introduction to Cloud Computing Setup
  • Overview of cloud computing
  • Cloud service models (IaaS, PaaS, SaaS)
  • Cloud deployment models (Public, Private, Hybrid, Multi-cloud)
• Module 2: Core Cloud Services
  • Introduction to major cloud providers (AWS, Azure, Google Cloud)
  • Understanding compute services (EC2, Azure VM, GCE)
  • Introduction to storage services (S3, Azure Blob Storage, Google Cloud Storage)
• Module 3: Networking and Security in the Cloud
  • Basics of cloud networking (VPC, Subnets, Security Groups)
  • Identity and Access Management (IAM) in cloud
  • Best practices for securing cloud resources

Week 2: Deep Dive into Cloud Services

• Module 4: Cloud Storage Solutions
  • Different types of cloud storage (block, file, object storage)
  • Implementing and managing cloud storage solutions
  • Data lifecycle management and tiered storage
• Module 5: Databases in the Cloud
  • Introduction to cloud databases (RDS, Azure SQL, Cloud SQL)
  • NoSQL databases in the cloud (DynamoDB, Cosmos DB, Firestore)
  • Database migration and backup strategies
• Module 6: Serverless Computing
  • Understanding serverless architecture
  • Working with AWS Lambda, Azure Functions, Google Cloud Functions
  • Benefits and use cases of serverless computing

Week 3: Advanced Cloud Concepts and Tools

• Module 7: DevOps and Automation
  • Introduction to DevOps practices
  • Infrastructure as Code (IaC) with tools like Terraform and CloudFormation
  • CI/CD pipelines using cloud-native tools (AWS CodePipeline, Azure DevOps, Google Cloud Build)
• Module 8: Monitoring and Logging
  • Monitoring cloud resources (CloudWatch, Azure Monitor, Stackdriver)
  • Logging best practices and tools (CloudTrail, Azure Log Analytics, Google Cloud Logging)
  • Setting up alerts and notifications
• Module 9: Cost Management and Optimization
  • Understanding cloud pricing models
  • Strategies for optimizing cloud costs
  • Using cost management tools (AWS Cost Explorer, Azure Cost Management, Google Cloud Billing)

• Module 10: Designing Cloud Architectures
  • Best practices for designing scalable and resilient cloud architectures
  • Case studies of successful cloud implementations
  • High availability and disaster recovery strategies
• Module 11: Emerging Trends in Cloud Computing
  • Introduction to hybrid and multi-cloud strategies
  • Edge computing and its applications
  • Planning and designing a comprehensive cloud solution

Week 4: Cloud Architecture Project