This AWS DevOps course is designed for learners who want to build strong, job-ready expertise in modern DevOps practices using Amazon Web Services. The program focuses on real-world implementation rather than just theory, helping students understand how development, operations, cloud infrastructure, automation, and deployment pipelines work together in professional environments. Whether you are a beginner to DevOps or already working in IT and want to upgrade to cloud-native DevOps workflows, this course provides structured, practical guidance.

The training is conducted online, making it suitable for learners from any location who prefer flexible and interactive learning from home. Students will be guided through the complete DevOps lifecycle, starting from source control and CI/CD pipelines, moving into infrastructure as code, Docker containerization, Kubernetes orchestration, AWS cloud services, and production-grade monitoring and reliability practices. The course also includes a capstone project to help learners apply their knowledge in a realistic industry-style environment.

Module 1: DevOps & AWS Foundations (3 Hours)

• DevOps principles & culture

• CI/CD concepts (CI vs CD)

• SDLC with DevOps

• AWS Global Infrastructure recap

• Shared Responsibility Model

• DevOps toolchain overview

  • Git, Jenkins, Docker, Kubernetes, Terraform

Module 2: Source Control & GitOps (3 Hours)

• Git fundamentals

• Branching strategies

  • GitFlow

  • Trunk-based development

• Pull requests & code reviews

• GitHub vs GitLab vs AWS CodeCommit

• GitOps concepts

• Hands-on:

  • Git repo setup

  • Branching & PR workflow

Module 3: AWS IAM & Security for DevOps (3 Hours)

• IAM users, roles, policies

• Service roles vs instance roles

• STS & temporary credentials

• Secrets management:

  • AWS Secrets Manager

  • SSM Parameter Store

• IAM best practices for CI/CD

• Hands-on:

  • Role-based EC2 access

  • Jenkins → AWS access via IAM Role

Module 4: CI/CD using Jenkins & AWS Code Services (5 Hours)

• Jenkins architecture

• Jenkins pipelines (Declarative)

• Jenkins agents on EC2

• Webhooks & triggers

• AWS Code Services:

  • CodeCommit

  • CodeBuild

  • CodeDeploy

  • CodePipeline

• Hands-on:

  • Jenkins CI pipeline

  • Build & test application

  • Deploy using CodeDeploy

Module 5: Infrastructure as Code (Terraform on AWS) (5 Hours)

• IaC concepts

• Terraform architecture

• Providers, resources, variables

• State management:

  • S3 backend

  • DynamoDB locking

• Modules & workspaces

• Hands-on:

  • VPC using Terraform

  • EC2, ALB, Auto Scaling

  • RDS provisioning

Module 6: Containers & Docker on AWS (4 Hours)

• Docker architecture

• Dockerfile best practices

• Multi-stage builds

• Amazon ECR

• ECS overview (EC2 vs Fargate)

• Hands-on:

  • Containerize application

  • Push image to ECR

  • Deploy on ECS Fargate

Module 7: Kubernetes & Amazon EKS (5 Hours)

• Kubernetes architecture

• Pods, Deployments, Services

• ConfigMaps & Secrets

• Ingress & Load Balancer Controller

• EKS architecture & IAM integration

• Hands-on:

  • EKS cluster setup

  • Deploy application

  • Rolling updates & scaling

Module 8: Monitoring, Logging & Reliability (3 Hours)

• Amazon CloudWatch (metrics, logs)

• CloudTrail auditing

• Centralized logging:

  • Fluent Bit

  • CloudWatch Logs

• Alerts & dashboards

• Auto Scaling strategies

• Hands-on:

  • Create alarms

  • Log collection setup

Module 9: Security, Cost & Best Practices (2 Hours)

• DevSecOps concepts

• Vulnerability scanning (Trivy overview)

• IAM least privilege

• Cost optimization:

  • Spot instances

  • Savings Plans

• AWS Well-Architected DevOps lens

Module 10: Capstone Project & Interview Prep (2 Hours)

End-to-End DevOps Project

• Git → Jenkins CI

• Docker build → ECR

• Terraform infra provisioning

• Deploy to EKS

• Monitoring with CloudWatch

• Rollback & blue-green strategy

Interview prep:

• Scenario-based questions

• Architecture discussions

• Resume mapping

Why Learn with This Tutor

This course is conducted by Nirav Desai, who focuses on making complex DevOps and AWS concepts simple, structured, and industry-relevant. The teaching style places strong emphasis on clarity, demonstrating real workflows, and helping students understand how different tools connect within a DevOps ecosystem. The course content is well-organized, progressing from fundamentals to advanced implementation in a logical manner.

Benefits / Outcomes

Students completing this course will:

• Gain practical exposure to CI/CD pipelines and automation
• Understand AWS-based DevOps architecture and workflows
• Build familiarity with Git, Jenkins, Terraform, Docker & Kubernetes
• Learn to deploy and manage cloud-native applications
• Strengthen problem-solving and troubleshooting skills
• Improve readiness for DevOps-related job roles
• Build a strong technical foundation for interviews and real projects