The AWS Platform Engineer Learning Path is designed to equip professionals with the expertise needed to architect, automate, and manage scalable AWS cloud environments. This course covers key topics such as AWS infrastructure fundamentals, networking, compute services, serverless architectures, storage, and database management. Participants will gain hands-on experience with Infrastructure as Code (IaC) using Terraform and CloudFormation, implement CI/CD pipelines with AWS DevOps tools, and develop monitoring and observability strategies using CloudWatch and CloudTrail. The curriculum also emphasizes cost optimization, security best practices, and governance. Through hands-on projects and a capstone challenge, learners will design and deploy full-scale AWS solutions, preparing them for real-world cloud operations and AWS certification exams.
Understand the role of an AWS Platform Engineer, including responsibilities such as infrastructure design, automation, and platform management.
Learn about AWS regions, availability zones, and the global network that powers AWS services.
Review fundamental cloud computing principles (IaaS, PaaS, SaaS) and the AWS shared responsibility model.
Dive into essential services like EC2, S3, VPC, IAM, and CloudWatch.
Explore VPC configuration, subnets, route tables, NAT gateways, and VPN connections.
Understand IAM, security groups, NACLs, and best practices for securing AWS environments.
Learn how to deploy and manage EC2 instances, Auto Scaling groups, and container services like ECS and EKS.
Explore AWS Lambda, API Gateway, and Step Functions for building serverless applications.
Understand load balancing with Elastic Load Balancers (ELB) and strategies for scaling applications.
Explore S3, EBS, and EFS, including lifecycle policies and data durability best practices.
Learn the differences between relational databases (RDS, Aurora) and NoSQL options (DynamoDB, DocumentDB).
Understand AWS Data Pipeline, DMS (Database Migration Service), and best practices for data backup and recovery.
Learn the benefits of managing infrastructure as code using AWS CloudFormation and Terraform.
Explore tools like AWS OpsWorks, Systems Manager, and CodeDeploy for automating deployments and operations.
Develop skills in scripting (Python, Bash) to create custom automation workflows.
Understand the principles of CI/CD and how to apply them using AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
Build, deploy, and monitor applications through automated pipelines.
Incorporate automated testing and security scans into your CI/CD workflows.
Utilize CloudWatch, CloudTrail, and AWS X-Ray to monitor performance, usage, and health of your AWS resources.
Set up centralized logging and alerts to proactively manage and troubleshoot issues.
Develop dashboards and reporting mechanisms to track key performance indicators (KPIs) and system health.
Learn techniques for monitoring, analyzing, and optimizing AWS costs using AWS Cost Explorer and Trusted Advisor.
Implement tagging strategies and resource governance practices to maintain compliance and control costs.
Develop skills to forecast costs and manage budgets effectively.
Study advanced design patterns for building highly available and fault-tolerant systems on AWS.
Explore how to integrate on-premises environments and multi-cloud solutions with AWS.
Stay updated with new AWS services and innovations that impact platform engineering.
Engage in practical projects that integrate the key concepts covered throughout the learning path. For example, set up a multi-tier application on AWS where you deploy EC2 instances, configure VPCs, and manage storage with S3 and EBS. This project should include implementing automated scaling, load balancing, and basic security practices.
Prepare for AWS certifications (e.g., AWS Certified Solutions Architect – Associate/Professional, AWS Certified DevOps Engineer) to validate your skills and advance your career.
Design and configure VPC with multiple subnets, NAT gateways, and Internet gateways.
Provision EC2 instances and manage them using Auto Scaling Groups.
Configure security groups, IAM policies, and network ACLs for robust security.
Develop and deploy AWS Lambda functions to handle backend logic.
Integrate API Gateway for managing secure RESTful APIs.
Implement Step Functions for orchestrating multi-step workflows.
Configure S3 buckets with lifecycle policies, versioning, and encryption.
Deploy relational databases (RDS/Aurora) and NoSQL databases (DynamoDB).
Practice data migration using AWS DMS and backup/recovery processes.
Write and deploy CloudFormation templates and Terraform scripts for automated provisioning.
Implement automated configuration management with AWS Systems Manager.
Automate resource updates and compliance checks using AWS OpsWorks and AWS Config.
Create and manage pipelines using AWS CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
Integrate automated testing and security scans into deployment workflows.
Monitor pipeline health and trigger rollback mechanisms for deployment failures.
Deploy monitoring dashboards and alerts using CloudWatch.
Set up detailed logging with CloudTrail for audit and troubleshooting.
Implement AWS X-Ray for tracing and debugging performance issues.
Implement AWS Cost Explorer and AWS Budgets to track and forecast spending.
Develop resource tagging strategies for accurate cost allocation.
Set up alerts and automated remediation actions using AWS Trusted Advisor.
Infrastructure as Code: Deploy secure, scalable infrastructure with CloudFormation or Terraform.
CI/CD Automation: Fully automate application delivery processes.
Serverless & Containerized Applications: Deploy microservices applications using ECS, EKS, Lambda, and API Gateway.
Monitoring & Observability: Comprehensive implementation of CloudWatch, CloudTrail, and X-Ray.
Cost Management: Implement governance, tagging, and cost optimization strategies.
Security & Compliance: Enforce robust security controls, IAM policies, and compliance automation.