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Course Outline

1) Cloud Basics and AWS

  • Core Cloud Computing principles
  • Service models (IaaS, PaaS, SaaS)
  • Deployment strategies (Public, Private, Hybrid, Multicloud)
  • Overview of AWS
  • Global infrastructure: Regions, Availability Zones, and Edge Locations
  • Navigating the AWS Management Console and CLI

Practical Exercise:

  • Account setup, initial configuration, and console navigation
  • Managing user settings in IAM (Identity and Access Management)

2) Compute and Networking

  • Compute Services
    • Amazon EC2: instances, AMIs, instance types, and auto scaling
    • AWS Lambda: serverless computing capabilities
  • Networking Services
    • Amazon VPC: subnets, routing, gateways, and security controls
    • Elastic Load Balancing (ELB)

Practical Exercise:

  • Deploying and connecting to an EC2 instance
  • Setting up a basic VPC with public and private subnets

3) Storage and Database Solutions

  • Storage Services
    • Amazon S3: buckets, access policies, and versioning
    • Amazon EBS and Amazon EFS
  • Database Services
    • Amazon RDS (MySQL/PostgreSQL)
    • Amazon Aurora (MySQL/PostgreSQL)
    • DynamoDB (NoSQL)

Practical Exercise:

  • Configuring an S3 bucket for static website hosting
  • Provisioning an RDS database and accessing it from an EC2 instance

4) Security, Monitoring, and Automation

  • Security and Governance
    • IAM management (users, groups, roles, and policies)
    • Secrets Manager and Parameter Store: secure secret management practices
    • AWS Organizations and cost control mechanisms
  • Monitoring
    • Amazon CloudWatch: metrics, log analysis, and alarm configuration
    • AWS CloudTrail: activity auditing
  • Automation
    • AWS CloudFormation: infrastructure as code

Practical Exercise:

  • Configuring alerts in CloudWatch
  • Executing a basic deployment using CloudFormation

5) Integration, API Gateway, and Capstone Project

  • Service Integration
    • Amazon API Gateway: setup, configuration, and API security
    • Integrations with AWS Lambda and DynamoDB
    • Highly available and scalable architecture patterns
    • Introduction to managed services (ECS/EKS)
  • Best Practices
    • Well-Architected Framework
    • AWS cost management and optimization strategies

Capstone Project Exercise:
Developing a basic web application on AWS that integrates:

  • API Gateway + Lambda (serverless backend)
  • S3 (static site hosting or asset storage)
  • RDS or DynamoDB (data layer)
  • CloudWatch for performance monitoring

Requirements

  • Foundational knowledge of IT concepts
  • Basic experience with networking principles
  • Familiarity with database systems and web applications

Target Audience

  • IT Specialists
  • System Administrators
  • Developers investigating cloud platforms
 35 Hours

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