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Cloud Computing with AWS & Azure
Training and internships in cloud computing with AWS and Azure offer hands-on experience with cloud technologies, enabling practical skills in deploying, managing, and optimizing cloud solutions.
Flow Chart
For a Cloud computing with AWS & Azure course, the flow chart for learning skills could look like this
1. Cloud Fundamentals
- Cloud computing concepts and benefits
- Service models: IaaS, PaaS, SaaS
- AWS and Azure overview and comparison
2. Core Infrastructure
- Compute: EC2 (AWS) and Virtual Machines (Azure)
- Storage: S3 (AWS) and Blob Storage (Azure)
- Networking: VPC (AWS) and VNet (Azure)
3. Identity and Security
- AWS IAM and Azure Active Directory
- Security best practices for cloud
4. Database and Analytics
- Relational: RDS (AWS) and SQL Database (Azure)
- NoSQL: DynamoDB (AWS) and Cosmos DB (Azure)
- Big data services
5. Application Services
- Serverless: Lambda (AWS) and Functions (Azure)
- Containers: ECS (AWS) and AKS (Azure)
- PaaS offerings