This course delivers practical knowledge and hands-on experience with AWS DevOps tools and workflows. Participants will gain the skills necessary to implement secure, scalable, and automated software delivery pipelines in a cloud environment. By the end of the course, learners will: 

• Understand the principles and practices of DevOps and how they apply in a cloud-native AWS environment. 

• Set up and manage source control using AWS CodeCommit and Git-based workflows. 

• Design and implement CI/CD pipelines using CodeBuild, CodeDeploy, and CodePipeline to automate build, test, and deployment processes. 

• Apply Infrastructure as Code (IaC) practices using AWS CloudFormation and optionally Terraform for consistent and repeatable infrastructure provisioning. 

• Monitor and log application performance using AWS CloudWatch, CloudTrail, and X-Ray for observability and incident response. 

• Integrate DevSecOps principles by managing IAM roles, secrets, and compliance checks directly within CI/CD pipelines. 

• Automate deployments using strategies like blue-green and rolling deployments for reduced downtime and safer releases. 

• Apply real-world DevOps scenarios to build cloud-native solutions that reflect modern software delivery practices. 

• Basic Cloud Knowledge: Participants should have a foundational understanding of cloud computing concepts, including service models (IaaS, PaaS, SaaS) and cloud deployment principles. 

• Familiarity with AWS Basics: While not mandatory, prior exposure to AWS services such as EC2, S3, and IAM is recommended for better comprehension of course content. 

• Basic Programming or Scripting Skills: Familiarity with scripting (e.g., Bash, Python) or development workflows is helpful for working with CI/CD tools and automation processes. 

• Version Control Awareness: An understanding of basic Git commands and source code versioning will be beneficial. 

This training will equip you for the following job roles and career paths:  

✓ DevOps Engineer
✓ AWS Cloud Engineer
✓ Site Reliability Engineer (SRE)
✓ Infrastructure Automation Engineer
✓ Cloud Deployment Engineer
✓ Build and Release Engineer
✓ CI/CD Pipeline Specialist
✓ Platform Engineer 

Module 1: Introduction to DevOps and AWS
• Overview of DevOps principles and culture
• Benefits of DevOps in cloud environments
• Introduction to AWS and its global infrastructure
• Understanding the AWS Shared Responsibility Model 

Module 2: Source Control with AWS CodeCommit
• Introduction to Git and version control workflows
• Setting up AWS CodeCommit repositories
• Branching strategies and collaboration practices 

Module 3: Continuous Integration with AWS CodeBuild
• Understanding CI concepts and pipelines
• Setting up and configuring AWS CodeBuild projects
• Automating builds, running unit tests, and managing build artifacts 

Module 4: Continuous Deployment with AWS CodeDeploy
• CD principles and deployment strategies
• Creating deployment groups and managing application revisions
• Blue/green and rolling deployments using CodeDeploy
• Deployment lifecycle hooks and monitoring 

Module 5: Orchestrating CI/CD with AWS CodePipeline
• Building complete CI/CD workflows with CodePipeline
• Integrating CodeCommit, CodeBuild, CodeDeploy, and third-party tools
• Automating approvals and rollback steps 

Module 6: Infrastructure as Code (IaC)
• Introduction to Infrastructure as Code
• Using AWS CloudFormation to define and deploy infrastructure
• Optional: Overview of Terraform and its use with AWS
• Best practices for managing infrastructure changes 

Module 7: Monitoring, Logging, and Alerting
• Introduction to AWS CloudWatch for metrics and logs
• Application performance monitoring with AWS X-Ray
• Creating dashboards and setting up alerts for critical metrics 

Module 8: Security and DevSecOps Practices
• Managing access with IAM roles, users, and policies
• Securing pipelines using Secrets Manager and Parameter Store
• Embedding security checks in CI/CD pipelines 

Module 9: Automation and Configuration Management
• Using AWS Systems Manager for automation and remote management
• Automating configuration tasks across EC2 and hybrid environments
• Parameter Store and State Manager 

Module 10: Real-World DevOps Project
• End-to-end DevOps pipeline implementation on AWS
• Deploying a sample application using CodePipeline
• Logging, monitoring, and troubleshooting deployment issues
• Optimization and wrap-up discussion