What will you learn in AWS Certified DevOps Engineer – Professional Exam Course
Design and implement CI/CD pipelines using AWS Developer Tools (CodeCommit, CodeBuild, CodeDeploy, CodePipeline)
Automate infrastructure provisioning with AWS CloudFormation and AWS CDK
Containerize applications with Amazon ECS/EKS and deploy serverless workloads with AWS Lambda
Implement logging, monitoring, and alerting using Amazon CloudWatch, X-Ray, and AWS Config
Secure DevOps practices: IAM roles, KMS encryption, and vulnerability scanning
Prepare for the AWS Certified DevOps Engineer – Professional exam
Program Overview
Module 1: DevOps Fundamentals & AWS Overview
⏳ 1 week
Topics: DevOps culture, AWS shared responsibility, key services
Hands-on: Set up IAM roles and a baseline VPC for DevOps workflows
Module 2: Source Control & CodeCommit
⏳ 1 week
Topics: Git basics, CodeCommit repositories, branch strategies
Hands-on: Migrate a local Git repo to CodeCommit and configure triggers
Module 3: Build & Test with CodeBuild
⏳ 1 week
Topics: Buildspec files, managed vs. custom images, test integration
Hands-on: Create a CodeBuild project to compile and unit-test a sample app
Module 4: Deployment Automation
⏳ 1 week
Topics: CodeDeploy blue/green and canary deployments, AWS Lambda deployments
Hands-on: Deploy to EC2 Auto Scaling groups and a Lambda function via CodeDeploy
Module 5: CI/CD Orchestration with CodePipeline
⏳ 1 week
Topics: Pipeline stages, approvals, cross-account pipelines
Hands-on: Build an end-to-end pipeline integrating CodeCommit → CodeBuild → CodeDeploy
Module 6: Infrastructure as Code
⏳ 1 week
Topics: CloudFormation templates, stacks, change sets, drift detection
Hands-on: Write and deploy a multi-tier CloudFormation stack
Module 7: Container & Serverless Deployments
⏳ 1 week
Topics: Amazon ECS/EKS, Fargate, ECR, Lambda packaging best practices
Hands-on: Containerize a microservice, push to ECR, and deploy on ECS Fargate
Module 8: Monitoring, Logging & Security
⏳ 1 week
Topics: CloudWatch metrics/logs/alarms, X-Ray tracing, AWS Config rules, KMS, Secrets Manager
Hands-on: Instrument an application for tracing and set up compliance checks
Module 9: Exam Prep & Capstone Project
⏳ 1 week
Topics: Exam blueprint review, sample scenario questions, study strategies
Hands-on: Design, build, and present a full DevOps solution on AWS
Get certificate
Job Outlook
AWS DevOps Engineers are highly sought after to streamline delivery and operations in cloud environments
Roles include DevOps Engineer, Site Reliability Engineer, Cloud Automation Engineer
Average salaries range from $115,000 to $160,000+ depending on experience and region
Skills are applicable across startups, enterprises, and consulting firms adopting AWS
Specification: AWS Certified DevOps Engineer Professional Exam Course
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FAQs
- Prior experience with AWS fundamentals (like Architect Associate-level knowledge) is strongly recommended.
- Understanding VPC, EC2, IAM, and S3 basics accelerates learning.
- Familiarity with cloud concepts helps in grasping CI/CD and infrastructure automation.
- Beginners can review free AWS resources or foundational courses before starting.
- Practical labs and exercises build on existing cloud knowledge to reinforce learning.
- Includes labs on CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
- Hands-on exercises cover containerization with ECS/EKS and serverless deployments using Lambda.
- Infrastructure as Code using CloudFormation and CDK is practiced in real-world scenarios.
- Logging, monitoring, and alerting with CloudWatch, X-Ray, and AWS Config are included.
- Capstone project simulates end-to-end DevOps solution deployment on AWS.
- Modules map directly to exam domains, ensuring coverage of all objectives.
- Includes scenario-based practice questions and exam strategies.
- Hands-on labs reinforce concepts critical for the exam.
- Capstone project helps apply knowledge to real-world solutions.
- Success still requires dedicated practice and review alongside the course.
- Covers ECS/EKS, Fargate, and Docker container deployment basics.
- Introduces best practices for serverless applications using AWS Lambda.
- Advanced Kubernetes orchestration and scaling scenarios are suggested for further study.
- Provides transferable knowledge applicable to complex production environments.
- Hands-on labs ensure learners gain confidence in deploying containerized apps.
- Dedicate 5–8 hours weekly for modules and hands-on labs.
- Focus on one service or lab per session to avoid overload.
- Document insights and solutions for future reference.
- Build small practice projects to reinforce skills.
- Engage with online AWS communities or study groups for additional support.
