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New batch starts 27-Jul-2026

AI Powered Master Program In DevOps With AWS In Pune

  • Master AWS Cloud, DevOps and Generative AI
  • Learn Linux, Python, Docker, Kubernetes, CI/CD, Generative AI, Git-Ops, AI-Ops and Cloud Automation
  • Hands-on projects, internship opportunities and placement-focused mentorship.
  • Live online and classroom training
  • For Professionals, College freshers, Candidates with a career gap and Career changers.
  • No prior coding experience required, all prerequisites will be covered.
🛠 Get Hands-on With Industry-Standard Tools (20+ Tools Covered)
Docker
Docker
Kubernetes
Kubernetes
Terraform
Terraform
Ansible
Ansible
Splunk
Splunk
Dynatrace
Dynatrace
ChatGPT
ChatGPT
Claude AI
Claude AI
GitHub Copilot
GitHub Copilot

24wk

DURATION

6

PHASES

20+

TOOLS

100%

PLACEMENT SUPPORT

Enroll Now →
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👨‍🏫 Industry Trainers — 10+ Years Exp 🤖 Gen AI in Every Module 💼 100% Placement Assistance 🛠 20+ Tools Covered 📅 Live Mentorship Every Weekend 📍 Online + Classroom
👨‍🏫 Industry Trainers — 10+ Years Exp 🤖 Gen AI in Every Module 💼 100% Placement Assistance 🛠 20+ Tools Covered 📅 Live Mentorship Every Weekend 📍 Online + Classroom

📅 NEXT BATCH

27-Jul-2026

📍 LOCATION

Shivaji Nagar

⏱️ PROGRAM DURATION

24 weeks (6-9 hrs / week)

🧑‍💻 LEARNING MODE

Classroom/Hybrid

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.

Learn how Generative AI transforms modern DevOps workflows using ChatGPT, Claude AI, GitHub Copilot, Amazon Q Developer and AI-powered automation tools. Other programs teach DevOps tools. We teach them the way they’re used in 2026 — with AI assistance at every step.

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)

Unlike traditional DevOps training programs, this course integrates Generative AI across every module. Learn AI-assisted scripting, infrastructure automation, documentation generation, debugging and deployment workflows using modern AI tools.

🐍 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

ABOUT THE PROGRAM

Master Program in DevOps with AWS

This AI Powered DevOps Course with AWS is designed for students, freshers and working professionals who want practical cloud and automation skills. Gain expertise in AWS Cloud, Linux, Python, Docker, Kubernetes, Terraform, Jenkins and CI/CD pipelines through real-world implementation projects. Become a deployment-ready DevOps & Cloud Engineer in 24 weeks — with Generative AI built into every step. Master the tools and practices — from writing infrastructure code with GitHub Copilot to AI-driven monitoring and incident response. Become not just certified, but genuinely job-ready.

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
  • 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 & VPC
  • S3 & KMS
  • CloudFormation
  • AWS Q Developer

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

DevOps Tools, AWS Services & GenAI

The full DevOps stack - Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, ELK, Datadog, ArgoCD, Splunk, Dynatrace, 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
  • Docker
  • Kubernetes
  • ArgoCD GitOps
  • Prometheus
  • Grafana
  • ELK Stack
  • Datadog
  • Terraform IaC
  • Ansible
  • Fargate · ECS · ECR · EKS
  • Splunk · Dynatrace
  • GitOps
  • AIOps
  • AI YAML Generation
  • AI Log Analysis
20+ INDUSTRY TOOLS

Learn 20+ DevOps tools in one course: Linux, Git, GitHub Actions, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, ELK Stack, Datadog, SonarQube, Trivy, Splunk, Dynatrace and more – all with AI assistance.

Linux

Linux

Python

Python

Git

Git

Jenkins

Jenkins

Maven

Maven

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

Splunk

Splunk

Dynatrace

Dynatrace

Gen AI

Gen AI

ChatGPT

ChatGPT

Claude

Claude AI

GitHub Copilot

GitHub Copilot

Amazon Q

Amazon Q Developer

⬇ Download Full Syllabus
FULL TOPIC BREAKDOWN

Explore Every Module in Detail

Comprehensive DevOps course curriculum covering Linux Administration, Python Programming, AWS Cloud, Docker Containers, Kubernetes Orchestration, Infrastructure as Code, CI/CD Automation, Monitoring, Security and Generative AI integration. Click any module to expand the full topic list, hands-on exercises and skills you will gain. Gen AI embedded throughout every module.

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
18
AI-OPS, Splunk & Dynatrace
☰ 14 Topics
ADVANCED
TOPICS
  • What is AIOps?
  • Evolution from Traditional Monitoring to Intelligent Operations
  • Role of AI & Machine Learning in DevOps
  • AIOps vs DevOps
  • Key Benefits of AIOps
  • Real-world Use Cases of AIOps in Industries
  • Overview of Observability
  • Splunk & Dynatrace
  • Real-Time Log Monitoring & Analysis
  • AI-Powered Security & Threat Detection
  • Centralized IT Infrastructure Visibility
  • Full Stack Observability & Monitoring
  • AI-Driven Performance Optimization
  • Automated Root Cause Analysis & Alerting
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Build a real-time log monitoring dashboard in Splunk
  • Configure full-stack observability in Dynatrace with OneAgent
  • Trigger and investigate an automated root cause analysis
  • Detect a security threat with Splunk
  • Set up AI-driven smart alerting and noise reduction
✅ Skills You Will Gain
  • Observability engineering across the full stack
  • AI-driven root cause analysis and performance optimization
  • Log analytics and security threat detection with Splunk
  • Intelligent alerting and alert-noise reduction
FULL TOPIC BREAKDOWN

Explore Every Module in Detail

Comprehensive DevOps course curriculum covering Linux Administration, Python Programming, AWS Cloud, Docker Containers, Kubernetes Orchestration, Infrastructure as Code, CI/CD Automation, Monitoring, Security and Generative AI integration. Click any module to expand the full topic list, hands-on exercises and skills you will gain. Gen AI embedded throughout every module.

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
18
AI-OPS, Splunk & Dynatrace
☰ 14 Topics
ADVANCED
TOPICS
  • What is AIOps?
  • Evolution from Traditional Monitoring to Intelligent Operations
  • Role of AI & Machine Learning in DevOps
  • AIOps vs DevOps
  • Key Benefits of AIOps
  • Real-world Use Cases of AIOps in Industries
  • Overview of Observability
  • Splunk & Dynatrace
  • Real-Time Log Monitoring & Analysis
  • AI-Powered Security & Threat Detection
  • Centralized IT Infrastructure Visibility
  • Full Stack Observability & Monitoring
  • AI-Driven Performance Optimization
  • Automated Root Cause Analysis & Alerting
⬇ Download Full Syllabus
⚡ Hands-on Exercises
  • Build a real-time log monitoring dashboard in Splunk
  • Configure full-stack observability in Dynatrace with OneAgent
  • Trigger and investigate an automated root cause analysis
  • Detect a security threat with Splunk
  • Set up AI-driven smart alerting and noise reduction
✅ Skills You Will Gain
  • Observability engineering across the full stack
  • AI-driven root cause analysis and performance optimization
  • Log analytics and security threat detection with Splunk
  • Intelligent alerting and alert-noise reduction

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Projects

DevOps Projects You Will Build

Learn by building real projects and gain hands-on experience through practical projects that develop the skills companies are looking for.

PROJECT 1

AWS S3 Static Website Hosting with CloudFront

Host a static website on Amazon S3 and deliver content globally using Amazon CloudFront. Learn to configure secure website hosting, custom domains, HTTPS, and content caching for improved performance. This project demonstrates a cost-effective, scalable, and highly available solution for hosting modern static web applications.

PROJECT 2

Auto Scaling & Load Balancer for a Highly Available Web Application

Deploy a highly available web application on AWS using EC2 Auto Scaling Groups and an Application Load Balancer (ALB). Learn to automatically scale resources based on CPU utilization and distribute incoming traffic across multiple instances. This project demonstrates high availability, fault tolerance, and cost optimization using AWS best practices.

PROJECT 3

Terraform-Based Multi-Environment AWS Infrastructure

Build and manage AWS infrastructure for Development, Staging, and Production environments using Terraform. Learn Infrastructure as Code (IaC) with reusable modules, remote state management, and environment-specific configurations. Automate infrastructure provisioning to ensure consistency, scalability, and eGicient cloud resource management across multiple environments.

PROJECT 4

CI/CD Pipeline for a Java Application using Jenkins

Build an end-to-end CI/CD pipeline for a Java application using Jenkins to automate code integration, testing, and deployment. Integrate Git, Maven, SonarQube, and Docker to streamline the software delivery process. Gain hands-on experience with continuous integration, continuous delivery, and DevOps best practices used in production environments.

PROJECT 5

Production-Ready Three-Tier Application Deployment on AWS EKS

Deploy a production-ready three-tier application (Frontend, Backend, and Database) on Amazon EKS using Kubernetes. Learn containerization with Docker, orchestration with Kubernetes, and CI/CD automation with Jenkins for seamless deployments. Implement load balancing, auto scaling, persistent storage, and monitoring to build a secure, scalable, and highly available cloud-native application.

PROJECT 6

Automating EKS Cluster Deployment with Jenkins Pipeline

Learn how to automate the complete deployment of an Amazon EKS (Elastic Kubernetes Service) cluster using Jenkins CI/CD pipelines. This project covers Infrastructure as Code (Terraform), automated build and deployment workflows, and Kubernetes integration for faster, consistent, and reliable cluster provisioning. Gain hands-on experience with modern DevOps practices used in real-world cloud environments.

ENTERPRISE CAPSTONE PROJECT

Real-World Industry Project

Work on a career-ready real-world project where you'll apply the skills you've learned during the program involving Docker, Kubernetes, Terraform, CI/CD and cloud monitoring to gain practical experience. This hands-on experience helps you build confidence, strengthen your portfolio, and helps you stand out during interviews.

Project Overview

Students deploy healthcare App, a microservices-based healthcare platform built using modern DevOps and cloud-native technologies on AWS Cloud Infrastructure. The project demonstrates how real-world applications are containerized, automated, deployed, and managed in scalable cloud environments.

Cloud Deployment CI/CD Automation Container Orchestration AWS Infrastructure AI-Based Incident Analysis

WHAT YOU WILL WORK ON?

CLOUD DEPLOYMENT

Deploy a real-world microservices-based healthcare platform on AWS using industry-standard cloud architecture and best practices.

CI/CD AUTOMATION

Implement CI/CD pipelines to automate code integration, testing, container image creation, and application deployment.

CONTAINER ORCHESTRATION

Package application services using Docker and deploy them on Kubernetes for scalable, highly available, and resilient operations.

AWS INFRASTRUCTURE

Provision and manage cloud infrastructure using Infrastructure as Code (IaC), monitoring, load balancing, storage, and security services on AWS.

OUTCOME OF THE CAPSTONE PROJECT

After Completing the Capstone Project, You'll Be Able To:

✓
Build a complete DevOps project independently.
✓
Explain your project confidently during interviews.
✓
Showcase practical skills on GitHub and LinkedIn.
✓
Add real project experience to your resume.
✓
Solve real-world DevOps challenges.
✓
Impress recruiters with a professional portfolio.
✓
Start your DevOps career with confidence.
WHO SHOULD JOIN

Is This Program Right For You?

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.

THIS PROGRAM IS BUILT FOR
Software Developers
IT Leads & Managers
System Administrators
Freshers & Career Switchers
Network Administrators
Technical Support Engineers
Tech & Non-Tech Backgrounds
Anyone Loves DevOps
DEVOPS PROFILE & PACKAGES

Job Roles & Salary Packages

The DevOps with AWS & Generative AI course in India prepares you for high-demand cloud and DevOps careers including DevOps Engineer, AWS Cloud Engineer, Site Reliability Engineer (SRE), Platform Engineer and Infrastructure Automation Engineer with average salaries from ₹8–18 LPA. 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

Career Services By BinaryBrains

Receive placement-focused mentorship including resume building, LinkedIn optimisation, mock interviews, technical guidance and hiring partner referrals with targeted job assistance and extended support. A structured journey from skill-building to your first job offer.

01

Placement Assistance

Dedicated placement support with hiring partners and career guidance.

02

Career-oriented Sessions

Industry-focused sessions to build employability & workplace readiness.

03

Resume & Profile Optimization

Resume building & LinkedIn profile optimization by experts.

04

Mock Interviews & Mentoring

Practice interviews with personalized feedback from industry mentors.

05

Interview Opportunities

Access interviews with hiring companies through our employer network.

06

Industry-Mentored Internship

Gain practical experience through mentor-guided real-world industry projects.

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 — designed to provide real-world AWS Cloud and DevOps experience. Work on live infrastructure environments, deployment pipelines and automation workflows under experienced industry mentors. 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 earn an industry-recognised DevOps and AWS certification validating practical skills in cloud infrastructure, automation, CI/CD implementation and Generative AI-powered DevOps workflows.

  • 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

Suraj Narekar
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.
Rounak Deshpande
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.
Naveen Patil
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.
WHY JOIN THIS PROGRAM

Why Learn DevOps with BinaryBrains?

6 Modules. 20+ Tools. One Career Path.

PROGRAM HIGHLIGHTS

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.

ADMISSION & FEES

Simple Pricing. No Surprises.

Flexible payment options including No Cost EMI, online enrollment and personalised career counselling. Available for both online and classroom training modes. 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.
💳 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? 📞 +91-7249756356 · ✉️ info@binarybrains.co
🔥 LIMITED SEATS — NEXT BATCH STARTING SOON

Ready to Launch Your
DevOps & Cloud Career?

Join BinaryBrains - DevOps With AWS program. Get a free counselling session today.

🔒 No spam. A BinaryBrains advisor calls you within 24 hours.
✔ Free career counselling
✔ 100% placement support
✔ EMI options available
✔ Batch starting soon
GOT QUESTIONS?

AI Powered DevOps Program FAQs

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

01
What are the key features of the AI-Powered Masters Program in DevOps with AWS & GenAI?

An AI-first, 24-week program and GenAI built into every topic. Covers 20+ tools (Jenkins, Docker, Kubernetes, Terraform, ArgoCD, Splunk, Dynatrace, AWS), plus dedicated AIOps modules, Includes production-grade microservices capstone, live weekend mentorship, lifetime LMS access, 100% placement assistance, and a CEO-signed certificate — for freshers and professionals alike.

02
What is the future of AI in DevOps?

AI is transforming DevOps from a hands-on job into one where engineers guide intelligent systems. Through AIOps, tools now predict and monitor issues, respond to incidents automatically, and even self-heal systems before users notice a problem. GitHub Copilot generates infrastructure code, AI handles smarter testing, and automated cost optimization keeps cloud bills in check.

The result is faster deployments, more reliable systems, less manual work, and big efficiency gains across CI/CD pipelines, Kubernetes, and cloud operations. Looking ahead, expect agentic AI that runs operations on its own and predictive AIOps that prevents incidents instead of just reacting to them.

For freshers, this means AI fluency is your fastest way to become job-ready and stand out. For experienced engineers, it means shifting from repetitive tasks to orchestrating intelligent systems — and staying ahead in a field where AI skills are quickly becoming essential.

03
Why a DevOps Engineer requires AI expertise in DevOps?

AI is now embedded across the DevOps lifecycle. Engineers who use tools like GitHub Copilot and Amazon Q Developer ship code faster, catch bugs earlier, automate pipelines more intelligently and optimize cloud costs using AI-driven recommendations on AWS.

AIOps adds predictive monitoring, automated anomaly detection, root cause analysis, and smarter alerting.

AI proficiency has become a core skill — it's what separates job-ready engineers from those who are merely certified, and it commands a significant salary premium.

04
Who is eligible for AI Powered DevOps with AWS & GenAI program? Do I need prior coding experience?

This course is designed for fresh graduates, working professionals, non-tech background learners, or anyone including system administrators,network engineers, support engineers, and developers — looking to build a high-growth career in DevOps and Cloud.

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

05
Do I need prior coding experience to learn DevOps & AWS?

Not at all! Our curriculum starts from zero. While basic scripting (Shell, Python) is taught, this course doesn’t require you to be a programmer. We start from foundational concepts in Python, Linux, and Networking, gradually building up to advanced DevOps tooling.

06
Is this course completely hands-on and project-based?

Yes, 100%. You’ll work on live use-cases, simulate DevOps pipelines, deploy real infrastructure on AWS, and manage CI/CD automation — just like you would in a real DevOps job. You’ll also build 2–3 projects with a capstone project at the end of the program to showcase in your portfolio.

07
What kind of placement support do you provide, and is there a job guarantee?

We provide a structured 100% placement assistance program including:

  • Resume & LinkedIn profile optimizationg
  • Mock interviews & technical assessments
  • Referrals to hiring partners
  • IWeekly job updates & direct recruiter connects
  • Mentorship from industry professionals

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

    08
    What does the 4-month internship program (optional) 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.

    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.

    09
    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.

    10
    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.

    11
    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.

    12
    What career opportunities can I expect after completing this program?

    The DevOps with AWS Master Program opens doors to high-demand job roles such as:

  • DevOps Engineer
  • Cloud Engineer (AWS)
  • SRE (Site Reliability Engineer)
  • Infrastructure Automation Engineer
  • Build & Release Engineer
  • Monitoring Engineer
  • CI/CD Engineer
  • Automation Engineer
    •

    You will be trained to work with real-world tools and pipelines, making you job-ready for roles in top MNCs and startups hiring for cloud-native DevOps roles.

    13
    What is Capstone Project?

    Think of a Capstone Project as your chance to prove your skills. It is a real-world, hands-on project completed at the end of the program.

    You'll build a complete project using the technologies covered in the program and demonstrate your ability to solve real business problems.

    This project gives you practical experience to discuss confidently during technical interviews.

    14
    What are the advantages of a Capstone Project?

    After Completing the Capstone Project, You'll Be Able To:

  • Build a complete DevOps project independently.
  • Explain your project confidently during interviews.
  • Showcase practical skills on GitHub and LinkedIn.
  • Add real project experience to your resume.
  • Solve real-world DevOps challenges.
  • Impress recruiters with a professional portfolio.
  • Start your DevOps career with confidence.
    •

    Still have questions?

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

    Talk to an Advisor
    📞
    +91-72497 56356 Mon–Sat, 9AM–7PM
    ✉️
    info@binarybrains.co Reply within 2 hours
    📍
    Pune, Maharashtra Online · Offline · Hybrid
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