The AWS DevOps – 40 Hours Intensive Program is a hands-on online course designed to provide learners with a complete understanding of AWS cloud services, DevOps principles, CI/CD pipelines, containerization, and infrastructure automation. This course is ideal for IT professionals, software developers, cloud engineers, and aspiring DevOps practitioners who want to gain practical skills and industry-ready expertise.

Through a combination of theoretical insights, practical demonstrations, and real-time projects, participants will learn how to design, implement, and manage scalable DevOps pipelines on AWS. The program covers all major aspects of modern DevOps practices, including continuous integration, container orchestration, infrastructure as code, and monitoring, ensuring learners are fully equipped for professional challenges.

AWS DevOps – 40 Hours Intensive Program

🔹 Module 1: DevOps Foundations (4 Hours)

Goal: Build strong fundamentals

• DevOps principles & lifecycle

• SDLC vs DevOps

• CI/CD concepts

• DevOps tools landscape

• Git fundamentals (branching, merging, PR workflow)

• Hands-on: Git workflow simulation

🔹 Module 2: Linux & Networking for DevOps (4 Hours)

Goal: Practical OS + networking knowledge

• Linux commands & shell scripting basics

• Process management, permissions

• Package management

• SSH, SCP

• Networking basics (TCP/IP, DNS, HTTP, HTTPS)

• Load balancing concepts

• Hands-on: Deploy app on Linux EC2 manually

🔹 Module 3: AWS Core Services (6 Hours)

Goal: Strong AWS foundation

• AWS global infrastructure

• IAM (users, roles, policies, best practices)

• EC2 (Launch templates, AMI, Auto Scaling)

• S3 (versioning, lifecycle policies)

• VPC (subnets, route tables, IGW, NAT, security groups, NACL)

• RDS & DynamoDB basics

• ELB (ALB/NLB)

• CloudWatch basics

• Hands-on: Deploy 2-tier app in AWS

🔹 Module 4: Continuous Integration (CI) (4 Hours)

Goal: Automate builds

• CI concepts & pipeline design

• Jenkins architecture

• Jenkins installation & configuration

• Declarative pipelines (Jenkinsfile)

• Integrating GitHub/GitLab

• Build triggers

• Hands-on: Build + Test app

🔹 Module 5: Docker & Containerization (5 Hours)

Goal: Container mastery

• Virtualization vs Containers

• Docker architecture

• Dockerfile creation

• Image layers & optimization

• Docker volumes & networking

• Docker Compose

• Hands-on: Containerize application

• Push to DockerHub / ECR

🔹 Module 6: Kubernetes (6 Hours)

Goal: Orchestration & scaling

• Kubernetes architecture

• Pods, ReplicaSets, Deployments

• Services (ClusterIP, NodePort, LoadBalancer)

• ConfigMaps & Secrets

• Ingress

• HPA (Horizontal Pod Autoscaling)

• EKS introduction

• Hands-on: Deploy app on Kubernetes cluster

🔹 Module 7: Infrastructure as Code (IaC) (4 Hours)

Goal: Automate infrastructure

• IaC principles

• Terraform fundamentals

• Providers, resources, variables

• State management

• Modules

• Remote backend (S3 + DynamoDB)

• Intro to CloudFormation

• Hands-on: Provision AWS infra using Terraform

🔹 Module 8: Continuous Deployment & Advanced CI/CD (3 Hours)

Goal: Production-ready pipelines

• Multi-stage pipelines

• Blue/Green deployments

• Canary deployments

• Rollback strategies

• Integrating Docker + Kubernetes in CI/CD

• Hands-on: CI/CD pipeline to EKS

🔹 Module 9: Monitoring, Logging & Security (2 Hours)

Goal: Reliability & observability

• CloudWatch metrics & alarms

• Centralized logging

• Prometheus & Grafana overview

• IAM best practices

• Secrets management

• DevSecOps basics

🔹 Module 10: Real-Time Project (2 Hours)

Capstone Project:
Build and deploy a microservices-based application:

• Code in Git

• Jenkins CI pipeline

• Docker containerization

• Terraform provisioning

• Deploy to EKS

• Monitoring + Auto Scaling

Teaching Method

The course is delivered through live online interactive sessions with a focus on hands-on learning and real-world applications. The methodology includes:

• Step-by-step practical demonstrations for every module

• Interactive coding and deployment exercises

• Real-time project implementation

• Continuous doubt-solving sessions

• Emphasis on building industry-ready skills

Why This Tutor

The tutor brings expertise in cloud computing and DevOps, providing structured guidance for learners to master AWS and DevOps tools effectively. The teaching style focuses on clarity, practical application, and skill-building, enabling students to confidently implement DevOps pipelines in professional environments.

Benefits & Outcomes

After completing this program, students will be able to:

• Deploy scalable AWS infrastructure using DevOps practices

• Build and manage CI/CD pipelines with Jenkins

• Containerize applications using Docker and orchestrate with Kubernetes

• Automate infrastructure using Terraform

• Implement monitoring, logging, and security best practices

• Execute real-world projects for practical experience

This course equips learners with end-to-end DevOps and AWS skills for cloud, development, and operations roles.