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FLAGSHIP PROGRAM • 2025–26

AI POWERED MASTERS PROGRAM IN DEVOPS WITH AWS

The only program combining deep AWS infrastructure, a complete DevOps toolchain, and Generative AI integration — built for freshers and professionals who want to be job-ready, not just certified.

🤖 AI-Powered Learning — integrated into every topic
ChatGPT
ChatGPT
Claude AI
Claude AI
GitHub Copilot
GitHub Copilot
Amazon Q
Amazon Q
SonarQube
SonarQube
Trivy
Trivy

24wk

DURATION

6

PHASES

20+

TOOLS

100%

PLACEMENT

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👨‍🏫 Industry Trainers — 5+ Years Exp 🤖 Gen AI in Every Module 💼 100% Placement Assistance 🎓 Verifiable CEO-Signed Certificate 📅 Live Mentorship Every Weekend
👨‍🏫 Industry Trainers — 5+ Years Exp 🤖 Gen AI in Every Module 💼 100% Placement Assistance 🎓 Verifiable CEO-Signed Certificate 📅 Live Mentorship Every Weekend
ABOUT THE PROGRAM

Masters Program in DevOps with AWS

A comprehensive 24-week industry-aligned training to make you a deployment-ready DevOps & Cloud Engineer — with Gen AI built in at every step.

Flexible Learning Format

Online / Offline / Hybrid — learn on your schedule without compromising quality.

Duration — 24 Weeks

Intensive industry-aligned training with daily hands-on labs and projects.

LIVE Mentorship Every Weekend

Industry experts available every weekend for personalised doubt-clearing.

Online LMS — Lifetime Access

All recordings, resources and updated materials available forever.

Industry-Aligned Projects

Multiple hands-on projects + a production-grade capstone deployment.

100% Placement Assistance

Internship, mentorship, resume support and real job referrals to make you industry-ready.

DevOps Career
WHY DEVOPS • WHY NOW

The Rise of DevOps

DevOps has become the standard at every tech company. With AI-assisted workflows, cloud-native architectures and CI/CD as the baseline, skilled engineers are in massive demand.

25%

CAGR Growth

2024–2032 · Source: Cision

$66B

Market Size 2032

DevOps Global Market · Gartner

80%

Global Adoption

Organizations using DevOps · LinkedIn

7000+

Open Jobs Nationally

50% rise on LinkedIn · Gartner

THE AI ADVANTAGE

🤖 Why AI + DevOps = The Future of Tech Careers

Engineers using AI tools ship faster, write cleaner code, and command 3× higher salaries. This program makes AI proficiency your competitive edge.

💬 ChatGPT
🤖 Claude (Anthropic)
⚡ GitHub Copilot
☁️ AWS Q Developer

2×

Faster Code Shipping

40%

Fewer Production Bugs

3×

Salary Premium

WHAT MAKES THIS PROGRAM DIFFERENT

Gen AI is Not an Add-on.
It’s Built Into Every Single Topic.

Other programs teach DevOps tools. We teach them the way they’re used in 2025 — with AI assistance at every step. Every topic includes real hands-on AI integration.

ChatGPT

ChatGPT

Claude

Claude (Anthropic)

GitHub Copilot

GitHub Copilot

AWS Q

AWS Q Developer

Generative AI

2×

Faster Shipping

AI-assisted CI/CD pipelines

40%

Fewer Bugs

AI code review & analysis

55%

Productivity Boost

AI-assisted DevOps teams

3×

Salary Premium

AI-skilled engineers

AI Integration Map — Every Tool, Every AI Use Case (20 tools · 40+ AI use cases)

🐍 Python Scripting
  • AI-generated automation scripts
  • AI bug detection & fixing
  • Code explanation via Claude
🐧 Linux Admin
  • AI-assisted Linux commands
  • AI shell script generation
  • Troubleshooting via ChatGPT
☁️ AWS Services
  • AWS Q Developer IDE setup
  • AI CLI command generation
  • AI infra recommendations
🔀 Git & GitHub Actions
  • AI commit message generation
  • Copilot code suggestions
  • AI workflow debugging
⚙️ Jenkins CI/CD
  • AI pipeline creation (Copilot)
  • AI Jenkinsfile generation
  • AI pipeline debugging
🐳 Docker
  • AI Dockerfile generation
  • AI container optimisation
  • AI multi-stage builds
☸️ Kubernetes & Helm
  • AI YAML manifest generation
  • AI cluster troubleshooting
  • AI Helm chart creation
📊 Prometheus + Grafana
  • AI log pattern analysis
  • AI incident detection
  • AI root cause analysis
📋 ELK + Datadog
  • AI anomaly detection
  • AI APM analysis
  • AI automated alerting
🏗️ Terraform IaC
  • AI Terraform script generation
  • AI resource optimisation
  • AI infra bug fixing
🔐 SonarQube & Trivy
  • AI code security analysis
  • AI vulnerability detection
  • AI security recommendations
🚀 ECS · ECR · EKS · Fargate
  • AI K8s cluster management
  • AI container deployment
  • AI cost optimisation
Result: You don’t just learn DevOps tools — you learn to use them with AI the way top engineers do today.
20+ Tools 40+ AI Use Cases 4 AI Assistants

PROGRAM CURRICULUM

5 Modules. 30+ Tools. One Career Path.

🤖 Gen AI embedded throughout every module. Every module builds on the last — from scripting to live AWS deployments.

Modules

01

PYTHON

02

NETWORKING

03

LINUX

04

AWS

05

DEVOPS

06

CAPSTONE

MODULE 01 · FOUNDATION

Python for DevOps

Master Python scripting for DevOps automation — syntax, data structures, OOP, file handling and DevOps libraries.

Syntax & Operators Control Flow Data Structures OOP Basics 🤖 AI Script Generation

MODULE 02 · FOUNDATION

Networking Fundamentals

TCP/IP, DNS, IP addressing, OSI model and cloud networking concepts underlying all modern DevOps infrastructure.

OSI & TCP/IP DNS & Protocols IP Addressing Load Balancing L4/L7

MODULE 03 · FOUNDATION

Linux Administration

Deep command-line proficiency — file system, permissions, shell scripting, user management and system administration.

Shell Scripting Permissions User Management 🤖 AI-Assisted Commands

MODULE 04 · CLOUD

AWS Cloud Platform

Design, deploy and manage scalable infrastructure with EC2, S3, IAM, VPC, ELB, CloudWatch — hands-on labs from day one.

IAM & STS EC2 & AMI S3 & VPC CloudWatch 🤖 AWS Q Developer

MODULE 05 · CORE & ADVANCED DEVOPS — 20 TOPICS · AI IN EVERY TOPIC

DevOps Tools & AWS Services — The Complete AI-Powered Toolchain

The full DevOps stack: Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, ELK, Datadog, ArgoCD, SonarQube, Trivy — plus AWS ECS, ECR, EKS and Fargate. Every topic includes hands-on AI assistance.

LLM & Gen AI in DevOps Git & GitHub Actions Maven Jenkins CI/CD SonarQube Trivy DevSecOps Docker & Compose Kubernetes & Helm ArgoCD GitOps Prometheus + Grafana ELK Stack Datadog Terraform IaC Ansible Fargate · ECS · ECR · EKS 🤖 AI Pipeline Creation 🤖 AI YAML Generation 🤖 AI Log Analysis 🤖 AI K8s Management
20+ INDUSTRY TOOLS
Linux

Linux

Python

Python

Git

Git

Jenkins

Jenkins

ArgoCD

ArgoCD

Docker

Docker

Kubernetes

Kubernetes

Terraform

Terraform

Ansible

Ansible

AWS

AWS

Prometheus

Prometheus

Grafana

Grafana

ELK

ELK Stack

Datadog

Datadog

SonarQube

SonarQube

Trivy

Trivy

Gen AI

Gen AI

ChatGPT

ChatGPT

Claude

Claude AI

GitHub Copilot

GitHub Copilot

Amazon Q

Amazon Q

CI/CD CONTAINERS & ORCHESTRATION INFRASTRUCTURE AS CODE CLOUD PLATFORM MONITORING & OBSERVABILITY SECURITY AI-POWERED DEVOPS
Download Brochure →
FULL TOPIC BREAKDOWN

Explore Every Module in Detail

Click any module to expand the full topic list, hands-on exercises and skills you will gain.

01
Python for DevOps & Automation
☰ 12 Topics
FOUNDATION
TOPICS
  • Introduction to Python
  • Basic Syntax & Operators
  • Control Flow (if, loops, iterators)
  • Data Structures – Lists, Dicts, Tuples, Sets
  • Functions & Scope
  • Topics & Libraries Overview
  • File Handling
  • Error & Exception Handling
  • OOP Basics – Classes, Objects, Inheritance
  • List Comprehension
  • Working with Popular Libraries
  • AI-Assisted Python Scripting (ChatGPT, Claude & Copilot)
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Write Python automation scripts for file & directory operations
  • Build a CLI tool using functions and OOP principles
  • Automate repetitive tasks with loops and file I/O
  • Use ChatGPT & Copilot to generate and debug Python scripts
✅ Skills You Will Gain
  • Python scripting for DevOps automation
  • OOP and modular code design
  • Error handling and debugging techniques
  • AI-assisted scripting with Copilot & ChatGPT
02
Networking Fundamentals for Cloud & DevOps
☰ 14 Topics
FOUNDATION
TOPICS
  • What is Networking & Types of Networks (LAN, WAN, MAN)
  • Networking Devices – Hubs, Switches, Routers, Firewalls
  • Media (Wired/Wireless) & Network Topologies
  • Network Protocols – SSH, RDP, FTP/SFTP, DNS, HTTP/HTTPS, SMTP
  • Ports & Secure Communication (SSL/TLS Basics)
  • OSI Model & TCP/IP Model
  • IP Addressing – IPv4, Public/Private, Static/Dynamic
  • Subnet Mask, Network ID & Host ID
  • CIDR & Basic Subnetting
  • DNS – Working, Root, TLD, Record Types
  • Load Balancing Concepts (L4 vs L7)
  • High Availability & Fault Tolerance Basics
  • VPC Architecture Overview
  • Cloud Networking Fundamentals
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Practice CIDR subnetting calculations end-to-end
  • Configure virtual network interfaces on Linux
  • Trace DNS resolution path for a domain
  • Analyse network traffic using nmap & tcpdump
✅ Skills You Will Gain
  • IP addressing, subnetting and CIDR notation
  • Understanding core networking protocols
  • DNS configuration and troubleshooting
  • Load balancing and high-availability design
03
Linux Administration & Shell Scripting
☰ 15 Topics
FOUNDATION
TOPICS
  • Linux Concepts, Unix vs Linux & Distributions
  • VMware Installation & Linux Setup
  • File System Structure & Navigation Commands
  • File Editors (vi/vim) & Remote Access via MobaXterm
  • Creating Files & Directories, Wildcards, Soft & Hard Links
  • File Permissions (chmod) & Ownership (chown, chgrp)
  • Pipes ( | ), Redirects & Standard Output (tee)
  • File Maintenance & Display Commands
  • Filters / Text Processing – cut, sort, grep, awk, uniq, wc
  • Compress & Uncompress – tar, gzip, gunzip
  • User Account Management & System Utility Commands
  • Process & Schedule Management – systemctl, ps, top, kill, crontab
  • System Information Commands – uname, hostname, uptime
  • Getting Help (man, whatis) & OS Maintenance
  • AI-Assisted Linux – Commands, Troubleshooting & Script Generation (ChatGPT, Claude & Copilot)
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install and configure Linux VM using VMware
  • Navigate file system and manage file permissions
  • Write shell scripts for automation using ChatGPT & Copilot
  • Manage users, processes and cron jobs
  • Use grep, awk and sed for text processing tasks
✅ Skills You Will Gain
  • Linux command-line proficiency
  • File system administration and permissions
  • Process, user and service management
  • Shell scripting with AI assistance
04
AWS Cloud Platform – Core Services
☰ 10 Topics
AWS DEEP DIVE
TOPICS
  • Cloud Computing – IaaS, PaaS, SaaS & Costing Models
  • Virtualization Concepts & Hypervisors
  • AWS Platform – Regions, Availability Zones & Console
  • IAM – Users, Groups, Roles, Policies, MFA & STS
  • EC2 – Instance Types, AMI, Launch Templates, EBS & Snapshots
  • ELB (Elastic Load Balancer) & Auto Scaling Groups
  • S3 – Buckets, Storage Classes, Versioning & Replication
  • VPC – Subnets, IGW, NAT Gateway, Peering, NACL & Security Groups
  • CloudWatch – Dashboards, Alarms & Monitoring
  • AWS Q Developer – AI-Assisted Code Generation, Debugging & IaC Support
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Launch and configure EC2 instances with EBS volumes
  • Create and manage IAM users, roles and policies
  • Set up a custom VPC with public/private subnets
  • Configure S3 bucket with versioning and static hosting
  • Set up CloudWatch alarms and dashboards
  • Use AWS Q Developer for code & CLI generation
✅ Skills You Will Gain
  • Provisioning and managing AWS core services
  • IAM security best practices
  • VPC networking and architecture design
  • Monitoring AWS resources with CloudWatch
05
DevOps Fundamentals & Generative AI in DevOps
☰ 18 Topics
CORE DEVOPS
TOPICS
  • What is DevOps? – SDLC, Culture & Core Principles
  • Infrastructure as Code (IaC) Overview
  • Continuous Integration & Continuous Delivery
  • DevOps Toolchain – Jenkins, Docker, Kubernetes
  • AI-Assisted DevOps Workflows (ChatGPT, Claude & Copilot)
  • Introduction to LLMs & How They Work
  • Prompt Engineering – Zero-shot, Few-shot, Chain-of-Thought
  • AI vs Generative AI & Types of Gen AI Tools
  • ChatGPT vs Claude vs Copilot – Comparison
  • AI Use Cases in DevOps Pipelines
  • Role-Based Prompting (System/User Prompts)
  • Context Management & Prompt Optimization
  • API-Based Usage of LLMs
  • Integrating LLMs in DevOps Pipelines
  • LLMs for Documentation & Code Review
  • Cost Optimization with LLMs
  • Security Risks with AI Tools & Ethical Use
  • Open-Source vs Proprietary LLMs & Future Trends
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Map DevOps toolchain to the CI/CD lifecycle
  • Use ChatGPT and Claude for prompt engineering exercises
  • Integrate LLM API calls into a pipeline script
  • Compare code review outputs from ChatGPT vs Copilot
✅ Skills You Will Gain
  • DevOps lifecycle, culture and toolchain
  • Prompt engineering for DevOps automation
  • Evaluating and selecting AI tools
  • Responsible and cost-effective LLM usage
06
Git, GitHub & Maven – Version Control & Build Management
☰ 16 Topics
CORE DEVOPS
TOPICS
  • Git Installation, Setup & Local/Remote Repositories
  • Branching Strategies & Workflows
  • Merging, Conflict Resolution, Cloning, Fetch & Pull
  • Introduction to GitHub & Repository Management
  • GitHub Actions – CI/CD Automation with YAML
  • Triggers, Jobs & Runners in GitHub Actions
  • Building & Deploying Applications using GitHub Actions
  • AI-Generated Commit Messages (ChatGPT & Copilot)
  • Code Suggestions & Debugging with Copilot & Claude
  • Introduction to Maven & Project Object Model (POM)
  • Dependency Management & Maven Repositories
  • Build Lifecycle, Phases, Goals & Plugins
  • Integration with CI/CD Tools
  • Jenkins Integration & Building Artifacts
  • AI-Assisted Build Configuration (ChatGPT, Claude & Copilot)
  • Debugging Build Failures using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Initialize a Git repo and create feature branches
  • Resolve merge conflicts in a team scenario
  • Create GitHub Actions workflow for a Java application
  • Build and package a Maven project with dependencies
  • Use Copilot to generate commit messages and scripts
✅ Skills You Will Gain
  • Git branching and team collaboration workflows
  • Automating CI/CD with GitHub Actions
  • Maven build lifecycle management
  • AI-assisted code suggestions and debugging
07
Jenkins – CI/CD Pipeline Implementation
☰ 12 Topics
CORE DEVOPS
TOPICS
  • Jenkins Architecture & Installation
  • Plugin Management in Jenkins
  • Jenkins Security Management & Credentials
  • Notification Configuration in Jenkins
  • Jenkins Master-Slave Architecture
  • Jenkins Delivery Pipeline
  • Jenkinsfile & Declarative Pipeline as Code
  • Jenkins Shared Libraries
  • Parallel Builds & Distributed Build Agents
  • Continuous Deployment using Jenkins Pipelines
  • AI-Assisted Pipeline Creation (ChatGPT & Copilot)
  • Pipeline Debugging using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install Jenkins on Ubuntu and manage plugins
  • Build a Jenkinsfile-based declarative pipeline
  • Configure master-slave distributed build agents
  • Automate full build and deploy workflow end-to-end
  • Use ChatGPT to generate and debug Jenkinsfile stages
✅ Skills You Will Gain
  • Designing and managing Jenkins CI/CD pipelines
  • Pipeline as Code with Jenkinsfile
  • Distributed builds and agent configuration
  • AI-assisted pipeline development
08
Code Quality with SonarQube & Security Scanning with Trivy
☰ 14 Topics
CORE DEVOPS
TOPICS
  • Introduction to Code Quality
  • SonarQube Basics & Architecture
  • SonarQube Scanner Setup
  • SonarQube Integration with Jenkins
  • Quality Gates & Code Reports
  • AI-Based Code Analysis using ChatGPT & Claude
  • What is Trivy & Why Trivy in DevSecOps
  • Installing Trivy (Linux / Windows / Mac)
  • Using Trivy with Docker & Verifying Installation
  • Scanning Docker Images (Docker Hub / ECR / GCR)
  • Updating Vulnerability Database
  • Integrate Trivy with Jenkins Pipeline
  • Automate Security Scans in Pipeline
  • Fail Pipeline on Critical Vulnerabilities
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Set up SonarQube and integrate with Jenkins pipeline
  • Configure quality gates and analyse code reports
  • Scan Docker images for CVEs using Trivy
  • Add security scan stage to Jenkins pipeline
  • Use AI to interpret and resolve security findings
✅ Skills You Will Gain
  • Static code analysis in CI/CD pipelines
  • Container image vulnerability scanning
  • Enforcing security gates (DevSecOps)
  • AI-assisted security analysis
09
Containerization with Docker
☰ 17 Topics
CORE DEVOPS
TOPICS
  • Containerization – Namespaces & Docker Overview
  • Docker Architecture (Daemon, Client, Registry)
  • Container Lifecycle Management
  • Docker CLI & Commands
  • Port Binding, Detached & Foreground Mode
  • Dockerfile & Dockerfile Instructions
  • Building & Tagging Docker Images
  • Docker Registry (Docker Hub & Private Registry)
  • Container Storage & Volumes
  • Docker Networking (Bridge, Host, Overlay)
  • Docker Compose – Multi-Container Applications
  • Docker Swarm – Basic Orchestration
  • Docker Resource Management & Logging
  • Docker Security Best Practices
  • AI-Generated Dockerfiles (ChatGPT & Copilot)
  • Container Optimization using ChatGPT & Claude
  • Integrating Docker in CI/CD Pipelines
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install Docker on Linux and run first container
  • Write a Dockerfile for a web application
  • Push image to Docker Hub and pull in new environment
  • Create multi-container app with Docker Compose
  • Integrate Docker build into Jenkins pipeline
  • Use Copilot to generate & optimise Dockerfiles
✅ Skills You Will Gain
  • Building and managing Docker images and containers
  • Multi-container apps with Docker Compose
  • Container networking and persistent storage
  • AI-assisted Dockerfile generation & optimisation
10
Kubernetes – Container Orchestration
☰ 18 Topics
CORE DEVOPS
TOPICS
  • Introduction to Container Orchestration
  • Kubernetes Core Concepts & Architecture
  • Understanding Pods
  • Replica Sets & Replication Controller
  • Deployments, Rolling Updates & Rollbacks
  • DaemonSets & Scaling Applications
  • Services – ClusterIP, NodePort, LoadBalancer
  • Persistent Storage in Kubernetes
  • Secrets & Config Maps
  • Kubernetes Namespaces & RBAC Basics
  • Helm – Kubernetes Package Manager
  • Helm Architecture, Charts & Templates
  • Helm Installation, Setup & Usage (Install, Upgrade, Rollback)
  • Creating Custom Helm Charts
  • Horizontal & Vertical Pod Autoscaling
  • Ingress Controllers & Ingress Rules
  • AI-Generated YAML Files (ChatGPT, Claude & Copilot)
  • Troubleshooting Clusters using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Deploy a multi-tier application on Kubernetes
  • Create deployments, services and config maps
  • Implement rolling updates and rollbacks
  • Package application using custom Helm charts
  • Configure HPA and Ingress controller
  • Use ChatGPT to generate and debug YAML manifests
✅ Skills You Will Gain
  • Deploying and managing Kubernetes workloads
  • Kubernetes storage, secrets and RBAC
  • Application packaging with Helm charts
  • AI-assisted YAML generation and troubleshooting
11
GitOps with Argo CD
☰ 6 Topics
CORE DEVOPS
TOPICS
  • GitOps Principles & Declarative Infrastructure
  • Continuous Deployment with GitOps
  • Argo CD Architecture & Installation
  • Argo CD Workflows & Application Management
  • Automated Sync from Git to Kubernetes
  • AI-Assisted Deployment using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install and configure Argo CD on Kubernetes
  • Deploy application using GitOps workflow
  • Set up automated sync from GitHub to Kubernetes
  • Implement self-healing for drifted deployments
✅ Skills You Will Gain
  • GitOps continuous delivery workflows
  • Declarative Kubernetes deployment management
  • Automated rollback and self-healing infrastructure
12
Monitoring & Observability – Prometheus, Grafana, ELK & Datadog
☰ 19 Topics
CORE DEVOPS
TOPICS
  • Introduction to Prometheus & Grafana
  • Prometheus Setup & Metrics Collection
  • Dashboard Visualisation with Grafana
  • Creating Dashboards to Monitor CI/CD Pipelines
  • Setting Up Alerting Rules & Thresholds
  • AI-Based Log Analysis & Incident Detection (ChatGPT & Claude)
  • Root Cause Analysis with AI
  • ELK Stack – Elasticsearch, Logstash & Kibana
  • Centralised Logging using ELK
  • Log Ingestion with Logstash
  • AI-Based Log Analysis using ChatGPT & Claude
  • Anomaly Detection & Automated Alerting with ELK
  • Datadog Monitoring with AI
  • Datadog APM & Logs
  • AI-Based Anomaly Detection in Datadog
  • Automated Alerting & Root Cause Analysis with AI
  • CloudWatch Dashboard & Monitoring Services
  • Configuring CloudWatch Alarms & Actions
  • Creating End-to-End Pipeline Monitoring
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install Prometheus & configure metrics exporters
  • Build Grafana dashboards for system and pipeline metrics
  • Set up ELK stack for centralised application logs
  • Create Datadog monitors and anomaly alerts
  • Use AI to analyse and interpret log patterns
✅ Skills You Will Gain
  • End-to-end monitoring and alerting systems
  • Centralised log management and analysis
  • AI-assisted incident detection and root cause analysis
  • Actionable observability dashboards
13
Infrastructure as Code with Terraform
☰ 11 Topics
CORE DEVOPS
TOPICS
  • Introduction to Terraform & IaC Concepts
  • Terraform Architecture & Workflow
  • HCL – HashiCorp Configuration Language
  • Terraform Common Commands (init, plan, apply, destroy)
  • Managing Resources – Variables, Outputs, Data Sources
  • Terraform State & Remote State Management (S3 Backend)
  • Terraform Modules & Reusability
  • Terraform Workspaces for Environments
  • Provisioning Full AWS Infrastructure with Terraform
  • AI-Generated Terraform Scripts (ChatGPT, Claude & Copilot)
  • Debugging Infrastructure Issues using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Provision EC2, VPC and S3 on AWS with Terraform
  • Build reusable Terraform modules
  • Manage remote state with S3 backend
  • Integrate Terraform in Jenkins / GitHub Actions pipeline
  • Use ChatGPT to generate and debug Terraform configs
✅ Skills You Will Gain
  • Writing and managing Terraform configurations
  • Cloud infrastructure provisioning as code
  • Reusable module design and state management
  • AI-accelerated Terraform development
14
Configuration Management with Ansible
☰ 11 Topics
CORE DEVOPS
TOPICS
  • Ansible – Configuration Management Overview
  • Inventory – Hosts & Groups
  • Ad-hoc Commands
  • Introduction to YAML Scripting
  • Playbooks – Writing & Running
  • Ansible Modules & Common Tasks
  • Variables, Facts & Conditionals
  • Ansible Roles & Galaxy
  • Integration with CI/CD Pipelines (Jenkins)
  • AI-Generated Playbooks (ChatGPT & Copilot)
  • Automation using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Configure Ansible inventory for multiple servers
  • Write playbooks to provision web servers automatically
  • Create reusable Ansible roles
  • Integrate Ansible into Jenkins CI/CD pipeline
  • Use ChatGPT to generate and optimise playbooks
✅ Skills You Will Gain
  • Server configuration automation with Ansible
  • Modular, reusable playbooks and roles
  • Multi-tier application deployment management
  • AI-assisted automation scripting
15
DevOps on Cloud – Architecture & Deployment Patterns
☰ 7 Topics
ADVANCED
TOPICS
  • Cloud Computing Essentials & Virtualization Architecture
  • Cloud Deployment Architectures
  • Overview of Cloud Providers (AWS, GCP, Azure)
  • Why DevOps on Cloud?
  • Introduction to Amazon Web Services for DevOps
  • Cloud-Native DevOps Patterns
  • AI-Assisted Cloud Architecture Design (ChatGPT & Claude)
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Design a cloud-native DevOps architecture on AWS
  • Map cloud services to DevOps toolchain components
  • Use AI to generate cloud architecture recommendations
✅ Skills You Will Gain
  • Cloud deployment architecture design
  • Aligning cloud services with DevOps practices
  • AI-assisted cloud architecture decisions
16
AWS Fargate & ECS – Serverless & Managed Container Deployments
☰ 13 Topics
ADVANCED
TOPICS
  • What is AWS Fargate & Fargate vs EC2
  • Cost Optimisation & Scaling with Fargate
  • Security in Fargate – IAM Roles, Environments & KMS
  • Monitoring & Logging Fargate Tasks with CloudWatch
  • AI-Based Optimisation using ChatGPT & Claude
  • ECS Task Definitions & Services
  • Service Discovery, Load Balancing & AutoScaling in ECS
  • CI/CD Pipelines for ECS with Jenkins / AWS CodePipeline
  • Monitoring ECS with CloudWatch & Logging
  • AI-Assisted ECS Deployment (ChatGPT & Copilot)
  • Fargate vs ECS on EC2 – Choosing the Right Approach
  • Blue-Green Deployments on ECS
  • ECS Cluster Management Best Practices
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Deploy containerised app on AWS Fargate
  • Create ECS task definitions and services
  • Build CI/CD pipeline deploying to ECS via Jenkins
  • Configure CloudWatch monitoring for ECS tasks
  • Implement blue-green deployment strategy on ECS
✅ Skills You Will Gain
  • Serverless container deployment with Fargate
  • ECS cluster and task lifecycle management
  • Integrating ECS in CI/CD workflows
  • Cost optimisation and scaling on Fargate
17
AWS ECR & EKS – Container Registry & Managed Kubernetes
☰ 12 Topics
ADVANCED
TOPICS
  • AWS ECR – Overview & Role in CI/CD Pipeline
  • Image Repositories, Versioning & Security in ECR
  • Setting Up an ECR Repository
  • Pushing & Pulling Docker Images to/from ECR
  • Configuring IAM Roles for Secure ECR Access
  • AI-Assisted Image Management (ChatGPT & Copilot)
  • EKS – Control Plane, Worker Nodes & Networking
  • Deploying & Managing EKS Clusters with Terraform / CloudFormation
  • kubectl, Helm & Kustomize on EKS
  • Service Discovery, Load Balancing & AutoScaling in EKS
  • Monitoring & Logging EKS with Prometheus and Grafana
  • CI/CD Pipelines for EKS with Jenkins & GitHub Actions
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Create ECR repo and push Docker images from CI pipeline
  • Provision EKS cluster using Terraform
  • Deploy application to EKS with Helm
  • Set up Prometheus & Grafana monitoring on EKS
  • Build complete pipeline: Jenkins → ECR → EKS
✅ Skills You Will Gain
  • Private container registries with ECR
  • Production Kubernetes deployment on EKS
  • ECR + EKS integrated in CI/CD workflows
  • Monitoring and observability for managed Kubernetes
FULL TOPIC BREAKDOWN

Explore Every Module in Detail

Click any module to expand the full topic list, hands-on exercises and skills you will gain.

01
Python for DevOps & Automation
☰ 12 Topics
FOUNDATION
TOPICS
  • Introduction to Python
  • Basic Syntax & Operators
  • Control Flow (if, loops, iterators)
  • Data Structures – Lists, Dicts, Tuples, Sets
  • Functions & Scope
  • Topics & Libraries Overview
  • File Handling
  • Error & Exception Handling
  • OOP Basics – Classes, Objects, Inheritance
  • List Comprehension
  • Working with Popular Libraries
  • AI-Assisted Python Scripting (ChatGPT, Claude & Copilot)
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Write Python automation scripts for file & directory operations
  • Build a CLI tool using functions and OOP principles
  • Automate repetitive tasks with loops and file I/O
  • Use ChatGPT & Copilot to generate and debug Python scripts
✅ Skills You Will Gain
  • Python scripting for DevOps automation
  • OOP and modular code design
  • Error handling and debugging techniques
  • AI-assisted scripting with Copilot & ChatGPT
02
Networking Fundamentals for Cloud & DevOps
☰ 14 Topics
FOUNDATION
TOPICS
  • What is Networking & Types of Networks (LAN, WAN, MAN)
  • Networking Devices – Hubs, Switches, Routers, Firewalls
  • Media (Wired/Wireless) & Network Topologies
  • Network Protocols – SSH, RDP, FTP/SFTP, DNS, HTTP/HTTPS, SMTP
  • Ports & Secure Communication (SSL/TLS Basics)
  • OSI Model & TCP/IP Model
  • IP Addressing – IPv4, Public/Private, Static/Dynamic
  • Subnet Mask, Network ID & Host ID
  • CIDR & Basic Subnetting
  • DNS – Working, Root, TLD, Record Types
  • Load Balancing Concepts (L4 vs L7)
  • High Availability & Fault Tolerance Basics
  • VPC Architecture Overview
  • Cloud Networking Fundamentals
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Practice CIDR subnetting calculations end-to-end
  • Configure virtual network interfaces on Linux
  • Trace DNS resolution path for a domain
  • Analyse network traffic using nmap & tcpdump
✅ Skills You Will Gain
  • IP addressing, subnetting and CIDR notation
  • Understanding core networking protocols
  • DNS configuration and troubleshooting
  • Load balancing and high-availability design
03
Linux Administration & Shell Scripting
☰ 15 Topics
FOUNDATION
TOPICS
  • Linux Concepts, Unix vs Linux & Distributions
  • VMware Installation & Linux Setup
  • File System Structure & Navigation Commands
  • File Editors (vi/vim) & Remote Access via MobaXterm
  • Creating Files & Directories, Wildcards, Soft & Hard Links
  • File Permissions (chmod) & Ownership (chown, chgrp)
  • Pipes ( | ), Redirects & Standard Output (tee)
  • File Maintenance & Display Commands
  • Filters / Text Processing – cut, sort, grep, awk, uniq, wc
  • Compress & Uncompress – tar, gzip, gunzip
  • User Account Management & System Utility Commands
  • Process & Schedule Management – systemctl, ps, top, kill, crontab
  • System Information Commands – uname, hostname, uptime
  • Getting Help (man, whatis) & OS Maintenance
  • AI-Assisted Linux – Commands, Troubleshooting & Script Generation (ChatGPT, Claude & Copilot)
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install and configure Linux VM using VMware
  • Navigate file system and manage file permissions
  • Write shell scripts for automation using ChatGPT & Copilot
  • Manage users, processes and cron jobs
  • Use grep, awk and sed for text processing tasks
✅ Skills You Will Gain
  • Linux command-line proficiency
  • File system administration and permissions
  • Process, user and service management
  • Shell scripting with AI assistance
04
AWS Cloud Platform – Core Services
☰ 10 Topics
AWS DEEP DIVE
TOPICS
  • Cloud Computing – IaaS, PaaS, SaaS & Costing Models
  • Virtualization Concepts & Hypervisors
  • AWS Platform – Regions, Availability Zones & Console
  • IAM – Users, Groups, Roles, Policies, MFA & STS
  • EC2 – Instance Types, AMI, Launch Templates, EBS & Snapshots
  • ELB (Elastic Load Balancer) & Auto Scaling Groups
  • S3 – Buckets, Storage Classes, Versioning & Replication
  • VPC – Subnets, IGW, NAT Gateway, Peering, NACL & Security Groups
  • CloudWatch – Dashboards, Alarms & Monitoring
  • AWS Q Developer – AI-Assisted Code Generation, Debugging & IaC Support
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Launch and configure EC2 instances with EBS volumes
  • Create and manage IAM users, roles and policies
  • Set up a custom VPC with public/private subnets
  • Configure S3 bucket with versioning and static hosting
  • Set up CloudWatch alarms and dashboards
  • Use AWS Q Developer for code & CLI generation
✅ Skills You Will Gain
  • Provisioning and managing AWS core services
  • IAM security best practices
  • VPC networking and architecture design
  • Monitoring AWS resources with CloudWatch
05
DevOps Fundamentals & Generative AI in DevOps
☰ 18 Topics
CORE DEVOPS
TOPICS
  • What is DevOps? – SDLC, Culture & Core Principles
  • Infrastructure as Code (IaC) Overview
  • Continuous Integration & Continuous Delivery
  • DevOps Toolchain – Jenkins, Docker, Kubernetes
  • AI-Assisted DevOps Workflows (ChatGPT, Claude & Copilot)
  • Introduction to LLMs & How They Work
  • Prompt Engineering – Zero-shot, Few-shot, Chain-of-Thought
  • AI vs Generative AI & Types of Gen AI Tools
  • ChatGPT vs Claude vs Copilot – Comparison
  • AI Use Cases in DevOps Pipelines
  • Role-Based Prompting (System/User Prompts)
  • Context Management & Prompt Optimization
  • API-Based Usage of LLMs
  • Integrating LLMs in DevOps Pipelines
  • LLMs for Documentation & Code Review
  • Cost Optimization with LLMs
  • Security Risks with AI Tools & Ethical Use
  • Open-Source vs Proprietary LLMs & Future Trends
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Map DevOps toolchain to the CI/CD lifecycle
  • Use ChatGPT and Claude for prompt engineering exercises
  • Integrate LLM API calls into a pipeline script
  • Compare code review outputs from ChatGPT vs Copilot
✅ Skills You Will Gain
  • DevOps lifecycle, culture and toolchain
  • Prompt engineering for DevOps automation
  • Evaluating and selecting AI tools
  • Responsible and cost-effective LLM usage
06
Git, GitHub & Maven – Version Control & Build Management
☰ 16 Topics
CORE DEVOPS
TOPICS
  • Git Installation, Setup & Local/Remote Repositories
  • Branching Strategies & Workflows
  • Merging, Conflict Resolution, Cloning, Fetch & Pull
  • Introduction to GitHub & Repository Management
  • GitHub Actions – CI/CD Automation with YAML
  • Triggers, Jobs & Runners in GitHub Actions
  • Building & Deploying Applications using GitHub Actions
  • AI-Generated Commit Messages (ChatGPT & Copilot)
  • Code Suggestions & Debugging with Copilot & Claude
  • Introduction to Maven & Project Object Model (POM)
  • Dependency Management & Maven Repositories
  • Build Lifecycle, Phases, Goals & Plugins
  • Integration with CI/CD Tools
  • Jenkins Integration & Building Artifacts
  • AI-Assisted Build Configuration (ChatGPT, Claude & Copilot)
  • Debugging Build Failures using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Initialize a Git repo and create feature branches
  • Resolve merge conflicts in a team scenario
  • Create GitHub Actions workflow for a Java application
  • Build and package a Maven project with dependencies
  • Use Copilot to generate commit messages and scripts
✅ Skills You Will Gain
  • Git branching and team collaboration workflows
  • Automating CI/CD with GitHub Actions
  • Maven build lifecycle management
  • AI-assisted code suggestions and debugging
07
Jenkins – CI/CD Pipeline Implementation
☰ 12 Topics
CORE DEVOPS
TOPICS
  • Jenkins Architecture & Installation
  • Plugin Management in Jenkins
  • Jenkins Security Management & Credentials
  • Notification Configuration in Jenkins
  • Jenkins Master-Slave Architecture
  • Jenkins Delivery Pipeline
  • Jenkinsfile & Declarative Pipeline as Code
  • Jenkins Shared Libraries
  • Parallel Builds & Distributed Build Agents
  • Continuous Deployment using Jenkins Pipelines
  • AI-Assisted Pipeline Creation (ChatGPT & Copilot)
  • Pipeline Debugging using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install Jenkins on Ubuntu and manage plugins
  • Build a Jenkinsfile-based declarative pipeline
  • Configure master-slave distributed build agents
  • Automate full build and deploy workflow end-to-end
  • Use ChatGPT to generate and debug Jenkinsfile stages
✅ Skills You Will Gain
  • Designing and managing Jenkins CI/CD pipelines
  • Pipeline as Code with Jenkinsfile
  • Distributed builds and agent configuration
  • AI-assisted pipeline development
08
Code Quality with SonarQube & Security Scanning with Trivy
☰ 14 Topics
CORE DEVOPS
TOPICS
  • Introduction to Code Quality
  • SonarQube Basics & Architecture
  • SonarQube Scanner Setup
  • SonarQube Integration with Jenkins
  • Quality Gates & Code Reports
  • AI-Based Code Analysis using ChatGPT & Claude
  • What is Trivy & Why Trivy in DevSecOps
  • Installing Trivy (Linux / Windows / Mac)
  • Using Trivy with Docker & Verifying Installation
  • Scanning Docker Images (Docker Hub / ECR / GCR)
  • Updating Vulnerability Database
  • Integrate Trivy with Jenkins Pipeline
  • Automate Security Scans in Pipeline
  • Fail Pipeline on Critical Vulnerabilities
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Set up SonarQube and integrate with Jenkins pipeline
  • Configure quality gates and analyse code reports
  • Scan Docker images for CVEs using Trivy
  • Add security scan stage to Jenkins pipeline
  • Use AI to interpret and resolve security findings
✅ Skills You Will Gain
  • Static code analysis in CI/CD pipelines
  • Container image vulnerability scanning
  • Enforcing security gates (DevSecOps)
  • AI-assisted security analysis
09
Containerization with Docker
☰ 17 Topics
CORE DEVOPS
TOPICS
  • Containerization – Namespaces & Docker Overview
  • Docker Architecture (Daemon, Client, Registry)
  • Container Lifecycle Management
  • Docker CLI & Commands
  • Port Binding, Detached & Foreground Mode
  • Dockerfile & Dockerfile Instructions
  • Building & Tagging Docker Images
  • Docker Registry (Docker Hub & Private Registry)
  • Container Storage & Volumes
  • Docker Networking (Bridge, Host, Overlay)
  • Docker Compose – Multi-Container Applications
  • Docker Swarm – Basic Orchestration
  • Docker Resource Management & Logging
  • Docker Security Best Practices
  • AI-Generated Dockerfiles (ChatGPT & Copilot)
  • Container Optimization using ChatGPT & Claude
  • Integrating Docker in CI/CD Pipelines
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install Docker on Linux and run first container
  • Write a Dockerfile for a web application
  • Push image to Docker Hub and pull in new environment
  • Create multi-container app with Docker Compose
  • Integrate Docker build into Jenkins pipeline
  • Use Copilot to generate & optimise Dockerfiles
✅ Skills You Will Gain
  • Building and managing Docker images and containers
  • Multi-container apps with Docker Compose
  • Container networking and persistent storage
  • AI-assisted Dockerfile generation & optimisation
10
Kubernetes – Container Orchestration
☰ 18 Topics
CORE DEVOPS
TOPICS
  • Introduction to Container Orchestration
  • Kubernetes Core Concepts & Architecture
  • Understanding Pods
  • Replica Sets & Replication Controller
  • Deployments, Rolling Updates & Rollbacks
  • DaemonSets & Scaling Applications
  • Services – ClusterIP, NodePort, LoadBalancer
  • Persistent Storage in Kubernetes
  • Secrets & Config Maps
  • Kubernetes Namespaces & RBAC Basics
  • Helm – Kubernetes Package Manager
  • Helm Architecture, Charts & Templates
  • Helm Installation, Setup & Usage (Install, Upgrade, Rollback)
  • Creating Custom Helm Charts
  • Horizontal & Vertical Pod Autoscaling
  • Ingress Controllers & Ingress Rules
  • AI-Generated YAML Files (ChatGPT, Claude & Copilot)
  • Troubleshooting Clusters using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Deploy a multi-tier application on Kubernetes
  • Create deployments, services and config maps
  • Implement rolling updates and rollbacks
  • Package application using custom Helm charts
  • Configure HPA and Ingress controller
  • Use ChatGPT to generate and debug YAML manifests
✅ Skills You Will Gain
  • Deploying and managing Kubernetes workloads
  • Kubernetes storage, secrets and RBAC
  • Application packaging with Helm charts
  • AI-assisted YAML generation and troubleshooting
11
GitOps with Argo CD
☰ 6 Topics
CORE DEVOPS
TOPICS
  • GitOps Principles & Declarative Infrastructure
  • Continuous Deployment with GitOps
  • Argo CD Architecture & Installation
  • Argo CD Workflows & Application Management
  • Automated Sync from Git to Kubernetes
  • AI-Assisted Deployment using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install and configure Argo CD on Kubernetes
  • Deploy application using GitOps workflow
  • Set up automated sync from GitHub to Kubernetes
  • Implement self-healing for drifted deployments
✅ Skills You Will Gain
  • GitOps continuous delivery workflows
  • Declarative Kubernetes deployment management
  • Automated rollback and self-healing infrastructure
12
Monitoring & Observability – Prometheus, Grafana, ELK & Datadog
☰ 19 Topics
CORE DEVOPS
TOPICS
  • Introduction to Prometheus & Grafana
  • Prometheus Setup & Metrics Collection
  • Dashboard Visualisation with Grafana
  • Creating Dashboards to Monitor CI/CD Pipelines
  • Setting Up Alerting Rules & Thresholds
  • AI-Based Log Analysis & Incident Detection (ChatGPT & Claude)
  • Root Cause Analysis with AI
  • ELK Stack – Elasticsearch, Logstash & Kibana
  • Centralised Logging using ELK
  • Log Ingestion with Logstash
  • AI-Based Log Analysis using ChatGPT & Claude
  • Anomaly Detection & Automated Alerting with ELK
  • Datadog Monitoring with AI
  • Datadog APM & Logs
  • AI-Based Anomaly Detection in Datadog
  • Automated Alerting & Root Cause Analysis with AI
  • CloudWatch Dashboard & Monitoring Services
  • Configuring CloudWatch Alarms & Actions
  • Creating End-to-End Pipeline Monitoring
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Install Prometheus & configure metrics exporters
  • Build Grafana dashboards for system and pipeline metrics
  • Set up ELK stack for centralised application logs
  • Create Datadog monitors and anomaly alerts
  • Use AI to analyse and interpret log patterns
✅ Skills You Will Gain
  • End-to-end monitoring and alerting systems
  • Centralised log management and analysis
  • AI-assisted incident detection and root cause analysis
  • Actionable observability dashboards
13
Infrastructure as Code with Terraform
☰ 11 Topics
CORE DEVOPS
TOPICS
  • Introduction to Terraform & IaC Concepts
  • Terraform Architecture & Workflow
  • HCL – HashiCorp Configuration Language
  • Terraform Common Commands (init, plan, apply, destroy)
  • Managing Resources – Variables, Outputs, Data Sources
  • Terraform State & Remote State Management (S3 Backend)
  • Terraform Modules & Reusability
  • Terraform Workspaces for Environments
  • Provisioning Full AWS Infrastructure with Terraform
  • AI-Generated Terraform Scripts (ChatGPT, Claude & Copilot)
  • Debugging Infrastructure Issues using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Provision EC2, VPC and S3 on AWS with Terraform
  • Build reusable Terraform modules
  • Manage remote state with S3 backend
  • Integrate Terraform in Jenkins / GitHub Actions pipeline
  • Use ChatGPT to generate and debug Terraform configs
✅ Skills You Will Gain
  • Writing and managing Terraform configurations
  • Cloud infrastructure provisioning as code
  • Reusable module design and state management
  • AI-accelerated Terraform development
14
Configuration Management with Ansible
☰ 11 Topics
CORE DEVOPS
TOPICS
  • Ansible – Configuration Management Overview
  • Inventory – Hosts & Groups
  • Ad-hoc Commands
  • Introduction to YAML Scripting
  • Playbooks – Writing & Running
  • Ansible Modules & Common Tasks
  • Variables, Facts & Conditionals
  • Ansible Roles & Galaxy
  • Integration with CI/CD Pipelines (Jenkins)
  • AI-Generated Playbooks (ChatGPT & Copilot)
  • Automation using ChatGPT & Claude
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Configure Ansible inventory for multiple servers
  • Write playbooks to provision web servers automatically
  • Create reusable Ansible roles
  • Integrate Ansible into Jenkins CI/CD pipeline
  • Use ChatGPT to generate and optimise playbooks
✅ Skills You Will Gain
  • Server configuration automation with Ansible
  • Modular, reusable playbooks and roles
  • Multi-tier application deployment management
  • AI-assisted automation scripting
15
DevOps on Cloud – Architecture & Deployment Patterns
☰ 7 Topics
ADVANCED
TOPICS
  • Cloud Computing Essentials & Virtualization Architecture
  • Cloud Deployment Architectures
  • Overview of Cloud Providers (AWS, GCP, Azure)
  • Why DevOps on Cloud?
  • Introduction to Amazon Web Services for DevOps
  • Cloud-Native DevOps Patterns
  • AI-Assisted Cloud Architecture Design (ChatGPT & Claude)
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Design a cloud-native DevOps architecture on AWS
  • Map cloud services to DevOps toolchain components
  • Use AI to generate cloud architecture recommendations
✅ Skills You Will Gain
  • Cloud deployment architecture design
  • Aligning cloud services with DevOps practices
  • AI-assisted cloud architecture decisions
16
AWS Fargate & ECS – Serverless & Managed Container Deployments
☰ 13 Topics
ADVANCED
TOPICS
  • What is AWS Fargate & Fargate vs EC2
  • Cost Optimisation & Scaling with Fargate
  • Security in Fargate – IAM Roles, Environments & KMS
  • Monitoring & Logging Fargate Tasks with CloudWatch
  • AI-Based Optimisation using ChatGPT & Claude
  • ECS Task Definitions & Services
  • Service Discovery, Load Balancing & AutoScaling in ECS
  • CI/CD Pipelines for ECS with Jenkins / AWS CodePipeline
  • Monitoring ECS with CloudWatch & Logging
  • AI-Assisted ECS Deployment (ChatGPT & Copilot)
  • Fargate vs ECS on EC2 – Choosing the Right Approach
  • Blue-Green Deployments on ECS
  • ECS Cluster Management Best Practices
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Deploy containerised app on AWS Fargate
  • Create ECS task definitions and services
  • Build CI/CD pipeline deploying to ECS via Jenkins
  • Configure CloudWatch monitoring for ECS tasks
  • Implement blue-green deployment strategy on ECS
✅ Skills You Will Gain
  • Serverless container deployment with Fargate
  • ECS cluster and task lifecycle management
  • Integrating ECS in CI/CD workflows
  • Cost optimisation and scaling on Fargate
17
AWS ECR & EKS – Container Registry & Managed Kubernetes
☰ 12 Topics
ADVANCED
TOPICS
  • AWS ECR – Overview & Role in CI/CD Pipeline
  • Image Repositories, Versioning & Security in ECR
  • Setting Up an ECR Repository
  • Pushing & Pulling Docker Images to/from ECR
  • Configuring IAM Roles for Secure ECR Access
  • AI-Assisted Image Management (ChatGPT & Copilot)
  • EKS – Control Plane, Worker Nodes & Networking
  • Deploying & Managing EKS Clusters with Terraform / CloudFormation
  • kubectl, Helm & Kustomize on EKS
  • Service Discovery, Load Balancing & AutoScaling in EKS
  • Monitoring & Logging EKS with Prometheus and Grafana
  • CI/CD Pipelines for EKS with Jenkins & GitHub Actions
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Create ECR repo and push Docker images from CI pipeline
  • Provision EKS cluster using Terraform
  • Deploy application to EKS with Helm
  • Set up Prometheus & Grafana monitoring on EKS
  • Build complete pipeline: Jenkins → ECR → EKS
✅ Skills You Will Gain
  • Private container registries with ECR
  • Production Kubernetes deployment on EKS
  • ECR + EKS integrated in CI/CD workflows
  • Monitoring and observability for managed Kubernetes
WHO SHOULD JOIN

Is This Program Right For You?

THIS PROGRAM IS BUILT FOR

Anyone Ready to Level Up Their Career

Whether you come from a technical background or are transitioning into IT, this course equips you with practical, AI-powered, job-ready skills to automate, deploy, and manage modern cloud infrastructure. Your starting point doesn’t matter — your commitment does.

👨‍💻 Software Developers

Automate deployments, master CI/CD pipelines, and transition to managing scalable cloud-native environments.

🖥️ System Administrators

Upgrade from manual server management to automated infrastructure, cloud provisioning and IaC.

🌐 Network Administrators

Understand cloud networking, VPC architecture, security groups and DevOps-driven infrastructure management.

🛠️ Technical Support Engineers

Move beyond support roles into automation, deployment management and cloud operations careers.

📊 IT Leads & Managers

Gain practical understanding of DevOps strategy, automation frameworks and cloud scalability.

🎓 Freshers & Career Switchers

Structured, hands-on training aligned with industry demand — fastest path from zero to job-ready.

🚀 Entrepreneurs

Leverage cloud solutions, automate infrastructure and take products to market faster.

❤️ Anyone Who Loves DevOps

Passionate learners eager to build, automate and grow in one of the most in-demand tech domains.

ENTERPRISE CAPSTONE

Real Project. Real AWS. Real Skills.

★ ENTERPRISE CAPSTONE PROJECT

AI-Powered Healthcare Platform on AWS Cloud Infrastructure

Build and deploy a microservices-based healthcare platform on live AWS — real containerisation, automated CI/CD, and managed cloud services at scale. This is not a demo. It ships to production.

🤖

AI-Based Incident Analysis — Built Into the Capstone

Implement AI-powered log analysis, automated anomaly detection and AI-driven root cause analysis — techniques used by top engineering teams at scale.

AI Log Analysis AI Anomaly Detection AI Root Cause Analysis AI Automated Alerting AI Performance Optimisation

MISSION

Build and deploy a production-grade healthcare platform using industry-standard DevOps practices and cloud-native architecture.

APPROACH

Hands-on deployment using containerisation, orchestration, and automated CI/CD pipelines on scalable AWS cloud infrastructure.

OUTCOME

Industry-ready DevOps engineering skills applicable to real enterprise-grade cloud deployments and automation workflows.

💻 Frontend Service ReactJS for patients, doctors & admins
🔐 Registration Service User onboarding & auth
📑 Master Service Healthcare data & results
📄 Document Service Medical records via S3
🗄️ Database Service MySQL on AWS RDS
🧾 Code Git · GitHub/GitLab
🔨 Build CI · Jenkins/Actions
📦 Containerise Docker · ECR
🚀 Deploy K8s Orchestration
📊 Monitor Prometheus / Grafana
🤖 AI Monitor Anomaly Detection
ECS / Fargate Serverless containers
AWS RDS Managed MySQL DB
Load Balancer Traffic distribution
AWS VPC Cloud networking
ECR Container registry
CloudWatch Monitoring & logs
DEVOPS PROFILE & PACKAGES

Job Roles & Salary Packages

After completing this program, several high-paying career paths open up. Below are common roles with their average salary packages in India.

⚙️

DevOps Engineer

Bridging development and IT operations, managing CI/CD pipelines, automating processes across the software delivery lifecycle.

AVG. SALARY ₹8 – ₹15 LPA
☁️

Cloud Engineer

Designing, planning and managing cloud infrastructure using AWS, Azure or Google Cloud for scalable, reliable systems.

AVG. SALARY ₹9 – ₹16 LPA
📡

Site Reliability Engineer

Ensuring high availability & performance of production systems, automating reliability tasks and monitoring at scale.

AVG. SALARY ₹10 – ₹18 LPA
🚀

Build & Release Manager

Coordinating and managing product releases, ensuring smooth CI pipelines, testing gates and deployment workflows.

AVG. SALARY ₹10 – ₹15 LPA
🤖

Automation Engineer

Automating repetitive tasks & infrastructure provisioning, setting up CI/CD pipelines and optimizing processes end-to-end.

AVG. SALARY ₹8 – ₹12 LPA
Salaries vary based on skills, certifications, company size and location. Figures represent industry averages for roles in India (2024–25).

PLACEMENT READINESS

6-Step Journey to Your First Job Offer

A structured journey from skill-building to your first job offer — with real hiring partner connections.

01

Training

Core technical & soft skills through structured modules, workshops and guided coursework.

02

Industry Projects

Real-world projects and portfolio building that employers immediately recognise.

03

Career Preparation

Resume building, LinkedIn presence, personal brand and job market navigation.

04

Mock Interviews

Simulate real interview conditions. Structured feedback on answers and approach.

05

Interview Opportunities

Connect with hiring partners and attend exclusive BinaryBrains placement drives.

06

Job Offer

Receive and negotiate your offer with full confidence — step into your career.

placement roadmap
⭐ OPTIONAL ADD-ON • AVAILABLE AFTER COURSE COMPLETION

4-MONTH INDUSTRY INTERNSHIP

Work Like a Full-Time DevOps Engineer

This is an optional program available after course completion at an additional cost — for students who want real production experience before their first job. Not required to earn your certificate or placement support.

internship
☁️

Live AWS Access

EC2 · VPC · EKS — real infrastructure, not sandboxes or demos.

🔧

Production Pipelines

Jenkins · GitHub Actions · Docker · K8s · Terraform in production.

🧑‍🏫

Weekly Mentor Reviews

Senior engineers review your code quality, architecture and efficiency.

🏅

Walk Away With

Internship certificate + LinkedIn optimisation + GitHub portfolio showcase.

Interested in the internship? Ask your counsellor for details & pricing after enrolling.

Enquire About the Internship →

CREDENTIALS & RECOGNITION

Earn an Industry-Recognised Certificate

Upon successful completion, receive a certificate signed by the BinaryBrains CEO & Director — validating your expertise in DevOps, AWS Cloud and AI tooling.

  • Validates real-world DevOps and AWS Cloud expertise with employers
  • Enhances professional credibility with IT employers globally
  • Showcases Docker, Kubernetes, Terraform & GenAI proficiency
  • Signed by CEO & Director — BBEDU verifiable series
  • Perfect for new roles, promotions or strengthening your resume
certificate
STUDENT REVIEWS

Read learner testimonials

SN
Suraj Narekar
System Engineer
★★★★★
I am very excited to share that I have started my career as a System Engineer. This milestone would not have been possible without the practical training and guidance I received from BinaryBrains.I had a great learning experience with BinaryBrains. The DevOps curriculum is well-structured and aligned with real-time industry requirements.
RD
Rounak Deshpande
DevOps Engineer
★★★★★
I completed Master’s Program in DevOps with AWS from BinaryBrains. The training quality, well-knowledgeable faculty, and structured mentorship sessions helped me build strong practical skills. Within 4 months of completing the course, I got placed at Hitachi. For anyone looking to build or upgrade their career in DevOps, I would highly recommend BinaryBrains for their excellent training and guidance.
NP
Naveen Patil
Team Lead
★★★★★
I had a great learning experience with BinaryBrains. The course (Masters in DevOps with AWS) is highly practical and industry-oriented, covering all essential tools like Docker, Kubernetes, Jenkins, Terraform, and AWS in a very structured manner. The trainers are certified, highly knowledgeable, and supportive. I highly recommend BinaryBrains to anyone who wants to build career in DevOps.

ADMISSION & FEES

Simple Pricing. No Surprises.

One plan. Complete program. Internship available as an optional add-on after completion.

MASTERS PROGRAM IN DEVOPS WITH AWS
Program Fee
The complete 24-week program — live classes, Gen AI labs, capstone project, mentorship and guaranteed placement support.
₹85,000 Save ₹30,001
₹54,999
💳 With No Cost EMI Know More
Enroll Now — Secure Your Seat
🔒 No spam · Advisor calls within 24 hrs
PRORAM FEATURES
EVERYTHING YOU GET
✓
Complete 24-Week Curriculum
Python · Linux · Networking · AWS · DevOps (20 topics) · Capstone
✓
Gen AI in Every Module
ChatGPT · Claude · GitHub Copilot · AWS Q Developer — hands-on throughout
✓
Instructor Led LIVE Classes + Mentorship
Interactive sessions with industry trainers + doubt clearing every weekend
✓
Lifetime LMS Access
All recordings, notes and future content updates — yours forever
✓
Capstone Project
Production-grade AWS deployment — portfolio-ready GitHub project
✓
Industry-Recognised Certificate
CEO-signed · verifiable BBEDU series · shareable on LinkedIn
★
100% Placement Assistance
Resume · LinkedIn · mock interviews · hiring partner referrals
🔒 Secure Payment | 📞 Free Pre-Admission Counselling | 🏅 Certificate on Completion
Questions about fees? 📞 080-4718 8439 · ✉️ info@binarybrains.co
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DevOps Career?

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GOT QUESTIONS?

Frequently Asked Questions

Everything you need to know about the Masters in DevOps with AWS program — eligibility, curriculum, placement, fees, and more.

01
Who is eligible for this DevOps program? Do I need prior coding experience?

This program is designed for BE/B.Tech, BCA, MCA, BSc/MSc (IT or CS) graduates and working IT professionals — including system administrators, network engineers, support engineers, and developers — looking to transition into DevOps and Cloud roles.

Prior coding experience is not mandatory. We start from foundational concepts in Python, Linux, and Networking, gradually building up to advanced DevOps tooling.

02
Which tools and technologies will I master in this program?

The curriculum spans 30+ industry-standard tools across multiple phases including:

Foundations: Python, Linux, Networking, Git, Maven

AWS Cloud: EC2, S3, VPC, IAM, CloudWatch, Route 53

CI/CD & Quality: Jenkins, SonarQube, Nexus

Containers & Orchestration: Docker, Kubernetes, ECS, EKS, ECR

Infrastructure & Monitoring: Terraform, Ansible, Prometheus, Grafana, ELK Stack

03
What kind of placement support do you provide, and is there a job guarantee?

We provide a structured placement assistance program including resume building, LinkedIn optimisation, mock interviews, aptitude preparation, HR guidance, and direct interview opportunities.

Students also work on real-world projects and internship tasks, helping them build strong portfolios for DevOps and Cloud roles.

04
What does the 4-month internship program include?

The internship is designed to give students real production-level DevOps experience through live projects and guided mentorship.

Students work on CI/CD pipelines, AWS infrastructure, Docker, Kubernetes, monitoring, logging, and deployment automation.

05
What is the course fee? Are EMI options and refunds available?

We offer flexible payment options including:

• One-time payment discounts

• 0% EMI plans

• Monthly instalment options

Refund eligibility depends on our admission policy. Please connect with the admissions team for current offers.

06
Is the program offered online or offline? What are the class timings?

We provide both online and classroom training options for students and working professionals.

Weekday and weekend batches are available, with flexible timing options including morning, evening, and weekend schedules.

07
What certifications will I receive on completion?

Students receive:

• Masters in DevOps with AWS Certificate

• Internship Completion Certificate

• Capstone Project Certificate

The curriculum also aligns with AWS and Kubernetes certifications.

08
Can a non-IT graduate or career changer enrol in this program?

Yes. Career changers from non-IT backgrounds can successfully transition into DevOps roles through our structured foundational training.

We start from basics including Linux, Python, Networking, and Cloud fundamentals before moving into advanced DevOps concepts.

Still have questions?

Our admissions counsellors are happy to walk you through any details over a quick call.

Talk to an Advisor
📞
080-4718 8439 Mon–Sat, 9AM–7PM
✉️
info@binarybrains.co Reply within 2 hours
📍
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