20-Week Real World Project based AWS DevOps Bootcamp

Demo Classes

Bootcamp Details

Real world DevOps bootcamp by Akhilesh Mishra with real-world projects, live troubleshooting, and production-level context

This bootcamp is designed to teach you what a real world Devops project looks like, and you will learn everything by doing all real-world projects, troubleshooting live issues, and navigating production incidents. My bootcamps will get you a good enough Devops experience that will help you crack any Devops interview

Bootcamp Details

Bootcamp Level -> beginners to advanced
Total Classes -> 60
Class Days: Tuesday, Wednesday, Friday
Timings: 10 PM IST – 11.55 PM IST
Class Duration: 2 hours each
Language: English
Teacher: Akhilesh Mishra
All classes are recorded, and students get lifetime access to recordings, code, notes, and resources
All classes will use real-world projects, production-level context, and details
All classes will be live, with real-time troubleshooting

Devops Bootcamp Overview

Bootcamp Details – week by week schedule

Module: Linux (Devops starts with Linux)

Week 1: Linux for Devops, basic shell scripting

Linux command-line essentials, tree navigation, file permissions, process management, system monitoring
Shell scripting basics, command line arguments, wildcards, input/output redirection
Variables, loops, conditionals, and functions in bash scripting
System Monitor Script: Automated metrics collection with report generation, and Container Monitor Script for performance monitoring

Project:

Create automated backup and disk cleanup scripts
Create a comprehensive system information script
Real-time log monitoring with email alerts for HTTP 500 errors

Module: Cloud (AWS) and containers

Week 2: Evolution of cloud computing, networking, AWS fundamentals, AWS VPC, EC2

Topics to be covered

History of computing, introduction to cloud computing
networking fundamentals, networking for cloud
AWS networking (VPC), Compute(EC2, Load balancers, Autoscaling ), Storage (s3, ebs, efs)
AWS IAM, Route53, certificate manager

Projects:

Hosting a web app on AWS ec2, with a custom domain, SSL, and nginx (production style)
Web app autoscaling with AWS EC2 autoscaling groups, Load balancers, and real-time load testing

Week3: AWS storage, Databases, Custom networks

Topics:

AWS storage services fundamentals (AWS S3, EBS, EFS) and Cloud Front (CDN)
AWS Databases(RDS) with real-world use cases, patterns, and disaster recovery
S3 life cycle, replication with production usecases

Project:

Hosting a static website on S3 and CloudFront
Database Disaster Recovery planning, recovery with disaster simulation
real-world project around S3 replication across accounts, and lifecycle management

Week 4: Containerization using Docker and Docker Compose

Evolution of Docker, its architecture, and everyday commands
Building, sharing, and running custom Docker images
Container networking, volume management, security, and image optimization techniques, multi-stage builds
Docker Compose for multi-container applications, simulating real-time application, load testing, and alerting

Project

Containerize a full-stack application with proper optimization
Real-time container monitoring with a visual dashboard and interactive charts for performance visualization
Alert system with AWS SES email notifications and stress testing for different load scenarios

Module: Running containers on Production + IAC + CICD

Week 5: Running containers on production with AWS ECS and Terraform on AWS

ECS fundamentals: clusters, services, task definitions, and Application Load Balancer configuration
running a production-level application on ECS
Kubernetes vs ECS: How to decide which one to use from real-world case studies
Container service discovery, logging, health checks, and basic CloudWatch monitoring
Terraform basics: providers, resources, state management, and writing modular configurations
Variable management, workspace concepts, and planning infrastructure changes safely

Project

Deploy a database-backed web application (2-tier app) on ECS with security best practices, domain, SSL, and load balancer
Deploy the ECS infra with Terraform
Load testing and autoscaling the 2-tier app, and creating custom alerts

Week 6: Terraform Advanced, SDLC, Git, GitHub, Jira

Terraform modules (private and public), Terraform import
Converting manual ECS deployment to Infrastructure as Code with HTTPS and SSL certificates
Multi-environment setup with Terraform modules and state management strategies
interview questions around Terraform
software development life cycle (past and present)
GitHub and git fundamentals
real-world practices around git and GitHub
Day-to-day of a Devops engineer, SRE
project requirements gathering, task allocation

Project

Deploying the web app on ec2 (From week 2) using Terraform
Building a Terraform module using a real-world pattern
Deploying a 2-tier app on ecs with Terraform in real world way, following the best practices of Terraform
Terraform drift detection, Terraform state recovery, and importing manually created resources to Terraform management
Simulating real-world projects built in a team
real-world simulation of Jira tickets with production-level context

Week 7: CI/CD (Github Actions)

CICD fundamentals
Github Action basics
GitHub action on production
Shared GitHub Actions
Multi-environment deployment from real production
Real-world, multi-environment Branching strategy with examples
Build and deploy a 2-tier app on ECS (with Terraform) using GitHub Actions

Projects:

Automate the infra build with Terraform while following the real-world practices
Automate the build and deploy the 2 -tier app from week 5 on ECS

Week 8: Running microservices on ECS and Devsecops part 1

Running microservices on AWS ECS, with air-tight security, advanced monitoring, and alerting
Dynamic Terraform infra that creates resources for different environments(Dev, Prod, staging)
Terraform automatically creates rds instance on dev and an RDS Aurora cluster on prod
OIDC with AWS and GitHub for Keyless Authentication for Terraform build and app build/deploy
Using GitHub Action hooks to trigger the deployment from a different GitHub repo (app code on 1 repo, and infra in another repo)

Projects:

Deploy microservices on ECS with Terraform, GitHub Actions, while following production best practices
Docker images scanning for microservices for vulnerability (Devsecops Project)
App lint + test using GitHub Action and modern DevSecOps Tools
Devsecops for Terraform using Checkov and tfsec

Module: Python for Devops

Week 9: Python for Devops using projects on AWS

Python fundamentals
Python data structures
Python loops, conditionals, functions
Python environment setup and virtual environments
Essential DevOps libraries: boto3, requests, os, subprocess, pathlib
File operations, JSON/YAML parsing
Creating a custom CLI with Python and argparse
making api calls with Python request modules
Error handling and exception management
File handling in Python

Hands-on project:

Rest API CRUD operation with Python (requests)
Creating AWS resources with Python
Creating a cloud usage report from an AWS account with Python (boto3)

Week 10: Python Automations on AWS with Lambda (Serverless Architecture)

What you’ll learn:

Lambda fundamentals: functions, triggers, execution models
Event-driven architecture patterns
Building Python functions for Lambda
Lambda layers for code reusability
Stitching together multiple automations with Lambdas
Integration with SQS, SNS, and S3 for event processing
Deploying Python automation on Lambda deployment with Terraform
Lambda deployment best practices
IAM roles and security for Lambda

Project:

Automate sending cloud reports to the team (Python, AWS Lambda, AWS SES)
IAM key rotation (Python, AWS Eventbridge from cron job)
Image processing pipeline using multiple Lambda functions, Lambda layers for dependencies management
Deploy Lambda with Terraform

Week 11: Python automation for Finops and Security driven project

RDS cost analysis, optimization strategies, and Python scripts for database migration automation
Implementing Python automation to scan inbound files with ClamAV
Data validation, integrity checking, migration planning, and rollback strategies
ECS job for large-scale database migration and Lambda triggers for migration workflow automation
Terraform code for complete implementation
Monitoring and alerting during the migration process with post-migration validation and cleanup

Production Project:

Implement RDS migration automation with Python, and deployment on AWS ECS and Lambda with Terraform
Building end-to-end automation to automate inbound file scanning with ClamAV, Python, Terraform (ecs job)

Module: Kubernetes

Week 12: Kubernetes basics, building projects using minikube and Kind

Kubernetes architecture, core concepts, pods, services, deployments, ConfigMaps
kubectl commands, cluster management, and local development with Minikube
StatefulSets, DaemonSets, Jobs, persistent volumes, and storage classes
Network policies, security contexts, resource limits, and quality of service

Projects:

Running 2-tier and 3-tier apps on Kubernetes using minikube and Kind clusters
Logging and monitoring of applications on Kubernetes with Prometheus and Grafana

Week 13: Kubernetes on EKS with advanced concepts

Running microservices on AWS EKS with Automode and a standard cluster
Microservices design principles, patterns, service discovery, and communication
Terraform to deploy a production-level EKS cluster
k8s to AWS auth with IRSA and pod identity
Terraform to deploy the k8s objects like configmaps, secrets, deployments, and ingress
Running apps on fargate and managed nodes
SSL/TLS management with cert-manager, ACM, network security, and encryption
Deploying microservices on Kubernetes(EKS) and Terraform, following the production best projects

project:

running a 3-tier app on Kubernetes, creating EKS with EKSCTL, and making it production-ready with domain, SSL, load balancing, rolling upgrade
Deploying a microservice on Kubernetes with Terraform deployment

Week 14: Gitops ArgoCD, Helm, Kustomise, and basics of kubernetes Observability

Helm charts for complex applications and Kustomize for environment-specific configurations
Init containers and sidecar patterns
Jobs and CronJobs for batch processing and scheduled tasks
Chart templating, value management, and application versioning strategies
Implementing GitOps with ArgoCD to automate the deployment
setting up logging, monitoring, and dashboarding with production-level details

Week 15: Running stateful apps on Kubernetes

Deploying a stateful application on kubernetes cluster
Multi-AZ setup for high availability
Matrix builds for multiple microservices and reusable workflows with composite actions
Implementing network policies for controlled traffic management between pods
Security contexts and pod security standards
Setting up service mesh with Istio

Week 16: Kubernetes advanced monitoring, SRE implementation, Incident management and Devsecops

Advanced logging, monitoring, and dashboarding in Kubernetes with Prometheus, Grafana, and Loki
Other observability practices in Kubernetes environments using AWS CloudWatch, Open Telemetry
Site Reliability Engineering principles, incident response procedures, and on-call management.
SLI, SLO, error budget management, and incident command system
Postmortem culture, blameless analysis, root cause analysis, and sprint planning
Retrospectives, design reviews, and project management for DevOps teams

Module: Ansible and DevSecOps

Week 17: Ansible

Ansible fundamentals: Playbooks, roles, variables, templates, and Vault for secret management
Advanced Ansible: Organizing code with roles, Jinja2 templates, handlers, and conditionals
Infrastructure provisioning with Packer: Building golden images for AWS, GCP, and Azure
Automating golden image pipelines with GitHub Actions for CI/CD
Integrating Ansible with Packer for configuration management

Project

Build a production-ready automated golden image pipeline

Week 18: Devsecops Advanced

Project:

Create a comprehensive security scanning pipeline
Creating checks before PR merges (production-style pipelines)
Build an enterprise-grade CI/CD pipeline
Security shift-left principles and SAST, DAST, SCA integration in CI/CD
Security scanning integration (SAST, DAST, SCA) and compliance workflows

Module: AIops

Week 19: AIops and Intelligent Automation

AI Tools for DevOps Engineers

Effective use of ChatGPT, GitHub Copilot, and Claude for DevOps tasks and prompt engineering
AI-assisted code generation, debugging, documentation, and infrastructure design
Project: Create AI-generated documentation and automation scripts

Intelligent Monitoring and Infrastructure Optimization

Machine learning for anomaly detection and intelligent alerting systems
AI for resource usage prediction, automated scaling decisions, and cost optimization
Project: Implement ML-based monitoring and optimization system

Week 20: AIops + Resume prep + Interview prep

Advanced AIops Integration and Self-Healing Infrastructure

Self-healing infrastructure with AI decision making and intelligent deployment strategies
AI-powered performance analysis and advanced ChatOps with incident management
Project: Build a comprehensive AIops platform demonstration

Resume built for different experience types

Resume for freshers, experienced
Job application tips

Devops interview prep, scenarios, tips

Resume for freshers, experienced
Job application tips

Course Completion and Certification

Upon completion of all classes and associated projects, students will receive:

Advanced DevOps Practitioner Certificate with AIops specialization
Portfolio of 15+ real-world projects, including microservices on k8s and DevSecOps
GitHub repository showcasing all implemented solutions
Reference architecture diagrams and best practices documentation
Interview preparation and job placement assistance

This curriculum follows a logical, incremental learning path from Linux fundamentals to advanced Kubernetes projects, ensuring each concept builds upon previous knowledge