Diploma in AWS

1. Introduction to Cloud Computing and AWS

• Basics of Cloud Computing: Understanding the fundamental concepts of cloud computing, its benefits, and various service models (IaaS, PaaS, SaaS).
• Introduction to AWS: Overview of AWS and its core services, understanding the AWS global infrastructure.
• Understanding Infrastructure as Code (IaC) with AWS CloudFormation: Learn about IaC and how to use AWS CloudFormation for automating infrastructure setup.

2. Infrastructure and Networking with AWS

• Understanding AWS EC2 (Elastic Compute Cloud): Deep dive into EC2 instances, understanding instance types, pricing models, and lifecycle.
• AWS S3 (Simple Storage Service): Understanding S3 buckets, data management, and security features.
• Networking in AWS (VPC, Route 53, Direct Connect): Learn about AWS networking services including VPC, Route 53 for DNS management, and Direct Connect for dedicated network connections.

3. Security with AWS

• Basics of Information Security: Understanding key concepts of information security, including confidentiality, integrity, and availability.
• AWS Security Best Practices: Learn about AWS security measures, IAM, and security best practices.
• Implementing Security in DevOps (DevSecOps) with AWS: Understand how to incorporate security in the DevOps lifecycle using AWS services.

4. DevOps with AWS

• Introduction to AWS DevOps Tools (CodeCommit, CodeBuild, CodeDeploy, CodePipeline): Overview of AWS DevOps tools and their functionalities.
• Continuous Integration/Continuous Deployment (CI/CD) with AWS: Learn how to implement CI/CD pipelines using AWS services.
• Monitoring and Logging with AWS CloudWatch: Understand how to monitor AWS resources and applications using CloudWatch.

5. Application Development and Deployment with AWS

• Basics of Software Development Life Cycle (SDLC): Understanding the phases of SDLC and its importance in software development.
• Developing Applications with AWS Elastic Beanstalk: Learn how to deploy and manage applications using Elastic Beanstalk.
• Serverless Computing with AWS Lambda: Understand the concept of serverless computing and how to run code without provisioning servers using Lambda.

6. Data Analytics with AWS

• Introduction to AWS Data Services (RDS, DynamoDB, Redshift): Overview of AWS data services for database management, data warehousing, and NoSQL databases.
• Basics of Data Analytics and Business Intelligence with AWS Quicksight: Learn how to analyze data and build visualizations using Quicksight.
• Machine Learning with AWS SageMaker: Understand the basics of machine learning and how to build, train, and deploy machine learning models using SageMaker.

7. Networking with AWS

• Advanced Networking Concepts with AWS: Deep dive into AWS networking, understanding network architecture, and advanced VPC features.
• Network Security with AWS Shield and AWS WAF: Learn about AWS services for DDoS protection and web application firewall.
• Hybrid Networking with AWS Direct Connect: Understand how to establish a dedicated network connection from your premises to AWS using Direct Connect.

8. Capstone Project

• A comprehensive project that requires students to apply all the skills learned in the course. This will involve building a complete cloud solution using AWS services, implementing DevOps practices, ensuring security, and performing data analytics.