Master AI-Powered DevOps with AWS & Azure
90 Days Master Certification Program — even if you’re a complete beginner.
Batch starts 25 July 2026
Learners from TCS, Infosys, Wipro, HCL, Cognizant & more
Enrollment
Choose Your Plan
Flexible payment options to start your DevOps journey today.
₹12,000
- Details: Pay upfront and secure your spot in the course.
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Two installments of ₹6,000 each
- First Installment: Due at the time of registration.
- Second Installment: Due within 30 days of the course start date.
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Master 30+ tools in 90 days
The exact DevOps & Cloud stack — plus the AI assistants that make you faster — from Linux to Kubernetes, CI/CD, security and beyond.
DevOps Fundamentals & Pre-Requisites
Intro to Cloud DevOps with AI
Linux
Shell Scripting
GitHub
Git & Branching
Bitbucket
Maven
Tomcat
npm
.NET
JFrog Artifactory
Nexus Repository
AWS
Azure
Google Cloud
Terraform
Containers, CI/CD & Orchestration
Docker
Kubernetes
Prometheus
Grafana
Datadog
ELK Stack
Jenkins
GitHub Actions
GitLab CI/CD
Argo CD
Amazon EKS
Python Automation
Security, MLOps & AI Integration
SonarQube
Trivy
OWASP
Dependency Check
Vault
AWS KiroClaude CodeYou’re Job-Ready! 🎉
3 months · 24+ topics · production-grade projects — ready to land your DevOps & Cloud role.
Build real-world projects
A portfolio of production-grade projects you can showcase to employers — not just theory.
Flask Web Application with CI/CD
Tech you’ll use
JenkinsDockerGitHubPythonBuild and deploy a Python Flask application with automated testing and deployment pipeline.
Containerized Microservices Architecture
Tech you’ll use
DockerPython
PostgreSQL
RedisDesign and implement a microservices architecture using Docker containers.
Kubernetes Cluster Management
Tech you’ll use
Kubernetes
YAMLEKSDeploy and manage applications on Kubernetes with auto-scaling and load balancing.
Infrastructure as Code with Terraform
Tech you’ll use
TerraformAWSProvision and manage cloud infrastructure using Terraform automation.
Monitoring and Alerting System
Tech you’ll use
PrometheusGrafanaImplement comprehensive monitoring, logging, and alerting for production systems.
Complete DevOps Pipeline Integration
Tech you’ll use
TerraformAWSIntegrate all previous projects into a unified, production-ready DevOps pipeline.
ML Model Deployment Pipeline
Tech you’ll use
PrometheusDockerTerraform
FlaskDeploy a machine learning model with complete MLOps pipeline including monitoring and A/B testing.
Course content
23 in-depth modules — everything you’ll master across the 90-day program.
23 sections • 402 lectures
- Linux Overview
- What is Operating System
- What is Unix, Linux
- Linux vs Windows
- Linux Flavors
- Linux Architecture
- Linux Commands
- Reading Files
- Redirection Operators
- User Management
- Group Management
- File System Management
- Editors
- Shell history and introduction
- Types of shells
- Shebang line in shell
- Command line arguments
- Variables
- Types of Operators
- Loops
- Case Statement
- Functions
- Introduction to Cloud Computing
- AWS Services
- VM Creation in AWS
- Elastic Compute Cloud (EC2)
- AWS Regions and Availability Zones
- Amazon Machine Images (AMI)
- EC2 Instances
- Amazon Elastic Block Store (EBS)
- Load Balancing (ELB)
- Auto Scaling
- Network & Security
- Amazon Virtual Private Cloud (VPC)
- Amazon Route 53
- Identity Access Management (IAM)
- Amazon S3
- Relational Database Service (RDS)
- Amazon Cloud Watch
- Cloud Formation
- Amazon Simple Queue Service (SQS)
- Elastic Bean Stalk
- AWS Lambdas
- Introduction
- Azure Essentials
- Azure Virtual Machines
- Azure ARM Template
- Azure Tags
- Azure Network Security Group
- Azure Virtual Machine User Data & Custom Data
- Azure Load Balancer
- Azure Scale Set
- Azure Resource Locks
- Azure Functions
- Azure Kubernetes Services
- Azure Networking
- Bastion Server / Jump Host in Azure
- Azure Native Bastion Service
- VNet Peering
- Public DNS Zone
- Azure + Terraform
- Challenges with Traditional IT Infrastructure
- Types of IAC Tools
- Why Terraform?
- Installing Terraform
- HashiCorp Configuration Language (HCL) Basics
- Update and Destroy Infrastructure
- Using Terraform Providers
- Configuration Directory
- Multiple Providers
- Using Input Variables
- Understanding the Variable Block
- Using Variables in Terraform
- Resource Attributes
- Resource Dependencies
- Output Variables
- Introduction to Terraform State
- Purpose of State
- Terraform State Considerations
- Terraform Commands
- Mutable vs Immutable Infrastructure
- LifeCycle Rules
- Datasources
- Meta-Arguments
- Count
- for-each
- Version Constraints
- Getting Started with AWS
- Demo: Setup an AWS Account
- Introduction to IAM
- Demo: IAM
- Programmatic Access
- AWS IAM with Terraform
- IAM Policies with Terraform
- Introduction to AWS S3
- S3 with Terraform
- Introduction to DynamoDB
- Demo: DynamoDB
- DynamoDB with Terraform
- What is Remote State and State Locking?
- Remote Backends with S3
- Terraform State Commands
- Introduction to AWS EC2
- Demo: Deploying an EC2 Instance
- AWS EC2 with Terraform
- Terraform Provisioners
- Provisioner Behaviour
- Considerations with Provisioners
- Terraform Taint
- Debugging
- Terraform Import
- What are Modules?
- Creating and Using a Module
- Using Modules from the Registry
- More Terraform Functions
- Conditional Expressions
- Terraform Workspaces (OSS)
- DevOps overview
- Key stakeholders of DevOps
- What is SDLC?
- Phases of SDLC
- Role of Developers in SDLC
- Role of Operations in SDLC
- Waterfall Model
- Advantages of Waterfall
- Disadvantages of Waterfall
- Agile Development Process
- Agile Manifesto
- Agile Scrum Workflow
- Agile Analysis Estimation Techniques
- Types of Roles and Responsibilities in Agile
- Problems That DevOps Solves
- DevOps Lifecycle Overview
- Core DevOps Tools
- DevOps Technology Categories
- Collaboration Tools
- Planning Tools
- Configuration Management Tools
- Source Control
- Development Environments
- Continuous Integration
- Continuous Testing
- Continuous Deployment
- Introduction
- What is a Version Control System (VCS)?
- Distributed Vs Non-Distributed VCS
- What is Git and where did it come from?
- Alternatives to Git
- GitHub Account Setup
- Obtaining Git / Installing Git
- Key Terminology
- Staging Vs Un-Staging
- Adding Files to Staging Areas
- Removing Files from Staging Area
- Commit to Local Repository
- Pull Request
- Push to Central Repository
- Repository Cloning
- Stashes & Stash Apply
- Branching in Git
- Why We need Branches
- Cloning & Switching Branches
- Fetching Changes (git fetch)
- Rebasing (git rebase)
- Git Pull
- Git Conflicts
- Branch Merging
- Merging & Re-Basing
- Deleting a Branch
- What is Configuration Management
- What is Ansible
- Installing Ansible
- Testing with First Ansible Commands
- Introduction to Play Books
- YML File
- Writing Play Books
- Play Books Execution
- Tags
- Handlers
- Introduction to Roles
- Role Basics
- Creating Role
- Ansible Galaxy
- Ansible Tower
- What is Build Tool
- Automated build process
- Maven Introduction & Objectives
- Maven Installation
- Maven Terminology
- Maven Archetypes
- Maven Project Creation
- Maven Dependencies
- Maven Repositories (Local Repo, Central Repo, Remote Repo)
- Maven Goals
- Setting up a JFrog Artifactory Account
- Configuring JFrog Artifactory Account
- Adding an Artifactory Stage in Jenkins
- Publishing a JAR to JFrog Artifactory from Jenkins
- What is Apache Tomcat?
- Tomcat vs. other Java application servers (WildFly, GlassFish, etc.)
- Role in Java EE (Jakarta EE) architecture
- Supported Java Servlets, JSP specifications, and APIs
- Tomcat versions and compatibility with JDK
- Prerequisites (Java JDK, environment variables)
- Downloading and installing Tomcat
- Directory structure overview (bin, conf, webapps, logs, lib, temp, work)
- Starting and stopping Tomcat (Windows, Linux)
- Using the Tomcat Manager application
- Deploying and undeploying web applications
- WAR file deployment
- Hot deployment vs. cold deployment
- User authentication for manager app (tomcat-users.xml)
- server.xml – connectors, ports, services, and hosts
- web.xml – servlet and filter configuration
- context.xml – application-specific settings
- What is Docker
- Life without Docker
- Life with Docker
- Installing Docker on Linux
- What is container
- Docker run command
- Working with images
- Container Life cycle
- Docker File
- Docker Network
- Docker Volumes
- Docker Compose
- Docker Swarm
- Spring Boot App with Docker
- Python App with Docker
- MYSQL with Docker
- What is Kubernetes
- Docker Swarm Vs Kubernetes
- Kubernetes Architecture
- Control Plane
- Worker Nodes
- Namespaces
- Pods
- Pod Life cycle
- Services (Cluster IP, Node Port, Load Balancer)
- Replication Controller
- Replication Set
- Daemon Set
- Stateful Set
- Deployment (Recreate, Rolling Update, Blue Green)
- Config Map
- Secrets
- Ingress Controller
- HELM Charts
- Introduction to Sonatype
- What is Artifact Repo
- Nexus Introduction
- Nexus Setup
- Snap Short Repository
- Release Repository
- Shared Libs
- Maven with Nexus Repo Integration
- Uploading Build Artifacts
- Introduction to Jenkins
- How to achieve Continuous Integration with Jenkins
- Jenkins Server Setup
- Jenkins Jobs
- How to integrate Jenkins with Maven
- Jenkins dashboard
- Jenkins plugins – how to download and use
- Setup and Running Jenkins Jobs
- Configure Dashboard, System Environment & Global Properties
- Create and configure a job · Run manually · Triggering a Build
- Build job · Manual Build job
- Polling SCM
- Post-Build Actions · Archiving Build Results · Notifications
- Jenkins Plugins
- Jenkins Master Slave Architecture
- Jenkins Pipeline Introduction
- Multi Stage Pipeline
- Jenkins with Maven & Git Integration
- Jenkins with Sonar Integration
- Jenkins with Nexus Integration
- Jenkins with Docker Integration
- Jenkins with Kubernetes Integration
- What is GitLab?
- GitLab Modules
- Understanding & executing basic Git commands
- The “git add” and “git commit” commands
- Setting Git configurations
- Reviewing repository history
- Merging a branch & using “git stash”
- Introduction to GitLab terminology
- Getting started with GitLab · Account Authentication
- GitLab Group Dashboard Interface
- Creating a new project · Packages & Registry section
- Creating a new issue in the project
- Introduction to GitLab Flow · branching strategies
- GitHub Flow · Git Flow · GitLab Flow
- Using Markdown syntax · modifying the Readme file
- git push & git pull · creating merge requests
- Understanding Production Branch
- Introduction to GitLab CI/CD · terminologies
- Defining a GitLab CI/CD Pipeline · Pipeline editor
- Pipeline variables · reviewing jobs & environments
- Walkthrough of the codebase · writing a GitLab pipeline
- Adding environment variables · artifact keyword
- Comparison of GitLab pipeline and Jenkins Pipeline
- Triggering the GitLab pipeline
- GitLab releases · Package / Container / Infrastructure Registry
- Reviewing pom.xml · writing GitLab pipeline · creating tags
- Introduction to monitoring and observability
- Installing and configuring Prometheus
- Setting up Node Exporter for system metrics
- Using Black Box Exporter for external endpoint monitoring
- Installing and configuring Grafana
- Connecting Prometheus as a data source in Grafana
- Creating custom dashboards and visualizations
- Setting up alerting rules in Prometheus
- Configuring Alertmanager for notifications
- Sending alerts via email, Slack, or other integrations
- Running the monitoring stack with Docker
- Managing monitoring stack with Docker Compose
- Deploying Prometheus and Grafana in a Kubernetes cluster
- Collecting and visualizing node-level metrics
- Setting up alerts for CPU, memory, and disk usage
- Monitoring application performance in Kubernetes
- Service discovery in Prometheus to scrape app metrics
- Grafana dashboards for application-specific monitoring
- Integrating Grafana with GitHub · visualizing GitHub metrics
- Introduction to Elasticsearch · Elasticsearch vs OpenSearch
- Installation & Hosting · Basic Architecture
- Sharding & Replication · Node Roles
- Index & Document Management · Routing & Versioning
- Batch Processing & Data Import · Analysis & Mapping · Analyzers
- Searching · Parent-Child Relationships · Result Formatting
- Aggregations · Advanced Search Features
- GitOps & Argo CD Fundamentals
- Setting Up Argo CD: Installation, User Management
- Managing Applications & Sync Strategies
- Continuous Delivery & Rollbacks
- Syncing, Diffing & Monitoring
- Application Security & Best Practices
- Customizations, CRDs & Webhooks
- Troubleshooting & Debugging
- Why Python for DevOps?
- Installing Python and setting up the environment
- Writing and executing Python scripts
- Python datatypes (int, float, string, list, tuple, dict, set)
- Variable declaration and best practices
- Defining and calling functions
- Function arguments (positional, keyword, default)
- Creating and importing modules
- Using built-in and third-party Python libraries
- if-else conditions
- for and while loops
- Loop control statements (break, continue, pass)
- Reading and writing files (open(), read(), write())
- Working with CSV and JSON files
- File handling best practices
- Understanding socket programming
- Creating a simple client-server connection in Python
- Parsing JSON data · creating and modifying JSON objects
- Introduction to databases and SQL
- Using Python with databases (PostgreSQL, MySQL)
- Setting up PostgreSQL · connecting Python to PostgreSQL
- Introduction to AWS SDK (boto3) · automating AWS services
- docker-py library · automating Docker container management
- Running and managing containers programmatically
- Python kubernetes-client SDK
- Automating Kubernetes deployments using Python
- Managing Kubernetes resources (pods, deployments, services)
- AWS Kiro
- Amazon Q
- Azure Copilot
- Google Duet AI
- Workik (Terraform)
- Github Copilot (code suggestion, etc.)
- Azure Copilot (Azure, Bicep)
- Google Duet AI (GCP infra and Kubernetes)
- Security Tools Overview
- Trivy Setup & File System Scanning
- OWASP Dependency Check Setup & Usage
- Tools like Prowler, Dockle, OWASP ZAP
- Security Tools Integrations With CI/CD
- SBOM (Software Bill of Materials) Hands-On Usage
- HashiCorp Vault
- Java Application Deployment
- Python Application Deployment
- Angular Application Deployment
- React JS Application Deployment
- Fullstack Application Deployment (SpringBoot + Angular)
- AWS Architecture Creation with Terraform
- ArgoCD with GitOps Deployments
- Docker Advanced Project
- Ansible Automation and Roles Creation
- Flask Web Application with CI/CD
- Containerized Microservices Architecture
- Kubernetes Cluster Management
- Infrastructure as Code with Terraform
- Monitoring and Alerting System
- Complete DevOps Pipeline Integration
- ML Model Deployment Pipeline
- Resume Preparation
- Frequently Asked Interview Questions
- Mock Interviews
- LinkedIn Optimization
Trusted by 500+ professionals
Learners from TCS, Infosys, Wipro, HCL, Cognizant & more
See our Google Reviews4.6“The Linux course is incredibly well structured. Went from zero to confidently managing servers in a week.”
“Best free DevOps resource I have found. The quizzes after each topic really cement the knowledge.”
“The community forum is gold. Got my Ansible playbook issue resolved in under 30 minutes.”
“SRTechOps is my go-to for interview prep. The Q&A forum has real-world questions that actually appear in interviews.”
“Cleared my AWS Solutions Architect exam after going through the AWS course here. Highly recommended.”
“Corporate training for my team was excellent. Practical, hands-on and tailored to our stack.”
“The Kubernetes deep dives are fantastic. Finally understood how to debug failing pods like a pro.”
“Loved how every concept comes with a hands-on lab. Theory plus practice made it stick.”
“The Terraform module helped me automate our entire infra. Saved hours of manual work every week.”
“The Linux course is incredibly well structured. Went from zero to confidently managing servers in a week.”
“Best free DevOps resource I have found. The quizzes after each topic really cement the knowledge.”
“The community forum is gold. Got my Ansible playbook issue resolved in under 30 minutes.”
“SRTechOps is my go-to for interview prep. The Q&A forum has real-world questions that actually appear in interviews.”
“Cleared my AWS Solutions Architect exam after going through the AWS course here. Highly recommended.”
“Corporate training for my team was excellent. Practical, hands-on and tailored to our stack.”
“The Kubernetes deep dives are fantastic. Finally understood how to debug failing pods like a pro.”
“Loved how every concept comes with a hands-on lab. Theory plus practice made it stick.”
“The Terraform module helped me automate our entire infra. Saved hours of manual work every week.”
“Monitoring with Prometheus and Grafana finally clicked. The dashboards walkthrough was spot on.”
“The CI/CD pipeline course with Jenkins and Argo CD is the most practical I have come across.”
“Switched careers into DevOps thanks to SRTechOps. The roadmap kept me focused the whole way.”
“The AWS networking section cleared up VPCs and subnets for me once and for all. Brilliant content.”
“Live community events are a huge value add. Learned real war stories you will not find in docs.”
“Docker finally made sense after this course. Containerised my side projects the very same week.”
“Cleared my CKA exam with confidence. The mock scenarios mirrored the real thing closely.”
“The Azure track is underrated gold. Set up my first AKS cluster following along step by step.”
“Interview prep here landed me a 40% hike. The questions were exactly what I got asked.”
“Monitoring with Prometheus and Grafana finally clicked. The dashboards walkthrough was spot on.”
“The CI/CD pipeline course with Jenkins and Argo CD is the most practical I have come across.”
“Switched careers into DevOps thanks to SRTechOps. The roadmap kept me focused the whole way.”
“The AWS networking section cleared up VPCs and subnets for me once and for all. Brilliant content.”
“Live community events are a huge value add. Learned real war stories you will not find in docs.”
“Docker finally made sense after this course. Containerised my side projects the very same week.”
“Cleared my CKA exam with confidence. The mock scenarios mirrored the real thing closely.”
“The Azure track is underrated gold. Set up my first AKS cluster following along step by step.”
“Interview prep here landed me a 40% hike. The questions were exactly what I got asked.”
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Who Should Attend?
Whether you’re just starting out or levelling up, this program meets you where you are.
Only a few seats left in this batch
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Frequently Asked Questions
Yes. On completion you receive a training and internship certificate that you can add to your resume and LinkedIn.
No prior experience is required. The program starts from Linux fundamentals and is designed for beginners as well as working professionals.
Yes. All session recordings and materials remain available to you even after the training ends.
The program runs for 90 days with daily live online/offline sessions covering 23 modules end to end.
Yes. We provide end-to-end placement guidance and post-training support, and you can re-attend any future batch for free.
90 Days Master Program
₹12,000 / full