₹15,000
- Details: Pay upfront and secure your spot in the course.
Reserve your seat at just ₹15,000
Limited seats · enroll today
4.6 (500+ reviews)|500+ professionals trained|50+ batches
DevOps · Cloud · AI Training
Master AI-Powered DevOps with AWS & Azure
90 Days Master Certification Program — even if you’re a complete beginner.
23 Modules16+ Real ProjectsAI-Powered WorkflowsPlacement Support
Nov batch starts soon
Two batches · 8:00 AM IST or 8:00 PM IST
Learners from TCS, Infosys, Wipro, HCL, Cognizant & more
Real-World Projects
Lifetime Access
Free Support
Attend Any Batch
Enrollment
Choose Your Plan
Flexible payment options to start your DevOps journey today.
Full Payment
₹15,000
- Details: Pay upfront and secure your spot in the course.
Limited seats · enroll today
Installment Payment
Two installments of ₹7,500 each
- First Installment: Due at the time of registration.
- Second Installment: Due within 30 days of the course start date.
Limited seats · enroll today
Hands-on with real industry tools
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.
Start
1
Month 1Weeks 1–4
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
2
Month 2Weeks 5–8
Containers, CI/CD & Orchestration
Docker
Kubernetes
Prometheus
Grafana
Datadog
ELK Stack
Jenkins
GitHub Actions
GitLab CI/CD
Argo CD
Amazon EKS
Python Automation
3
Month 3Weeks 9–12
Security, MLOps & AI Integration
SonarQube
Trivy
OWASP
Dependency Check
Vault
AWS KiroClaude CodeMLOps Fundamentals
MCP Server
Agentic AI
Mock Interview & Resume Prep
Production-Grade Project
Finish
You’re Job-Ready!
3 months · 24+ topics · production-grade projects — ready to land your DevOps & Cloud role.
7 hands-on projects · Portfolio-ready
Build real-world projects
A portfolio of production-grade projects you can showcase to employers — not just theory.
Project 1
Flask Web Application with CI/CD
Beginner5 build steps
Tech you’ll use
JenkinsDockerGitHubPythonBuild and deploy a Python Flask application with automated testing and deployment pipeline.
Project 2
Containerized Microservices Architecture
Beginner6 build steps
Tech you’ll use
DockerPython
PostgreSQL
RedisDesign and implement a microservices architecture using Docker containers.
Project 3
Kubernetes Cluster Management
Beginner6 build steps
Tech you’ll use
Kubernetes
YAMLEKSHHelm
Deploy and manage applications on Kubernetes with auto-scaling and load balancing.
Project 4
Infrastructure as Code with Terraform
Intermediate6 build steps
Tech you’ll use
TerraformAWS
EC2VVPC
Provision and manage cloud infrastructure using Terraform automation.
Project 5
Monitoring and Alerting System
Intermediate6 build steps
Tech you’ll use
PrometheusGrafanaEELK
KKibana
Implement comprehensive monitoring, logging, and alerting for production systems.
Project 6
Complete DevOps Pipeline Integration
Advanced6 build steps
Tech you’ll use
TerraformAWSEC2VVPC
Integrate all previous projects into a unified, production-ready DevOps pipeline.
Project 7
ML Model Deployment Pipeline
Advanced10 build steps
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
Loved by learners
Trusted by 500+ professionals
4.6(500+ reviews)•50+ batches completed
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.”
S
Santhosh
DevOps Engineer
“Best free DevOps resource I have found. The quizzes after each topic really cement the knowledge.”
R
Radhika
Cloud Architect
“The community forum is gold. Got my Ansible playbook issue resolved in under 30 minutes.”
G
Geetha
SRE
“SRTechOps is my go-to for interview prep. The Q&A forum has real-world questions that actually appear in interviews.”
V
Vignesh
Platform Engineer
“Cleared my AWS Solutions Architect exam after going through the AWS course here. Highly recommended.”
K
Karthick
AWS Engineer
“Corporate training for my team was excellent. Practical, hands-on and tailored to our stack.”
J
Jegadhish
DevOps Lead
“The Kubernetes deep dives are fantastic. Finally understood how to debug failing pods like a pro.”
BK
Bala Krishna
Kubernetes Engineer
“Loved how every concept comes with a hands-on lab. Theory plus practice made it stick.”
N
Nethra
DevOps Engineer
“The Terraform module helped me automate our entire infra. Saved hours of manual work every week.”
M
Manikandan
Cloud Engineer
“The Linux course is incredibly well structured. Went from zero to confidently managing servers in a week.”
S
Santhosh
DevOps Engineer
“Best free DevOps resource I have found. The quizzes after each topic really cement the knowledge.”
R
Radhika
Cloud Architect
“The community forum is gold. Got my Ansible playbook issue resolved in under 30 minutes.”
G
Geetha
SRE
“SRTechOps is my go-to for interview prep. The Q&A forum has real-world questions that actually appear in interviews.”
V
Vignesh
Platform Engineer
“Cleared my AWS Solutions Architect exam after going through the AWS course here. Highly recommended.”
K
Karthick
AWS Engineer
“Corporate training for my team was excellent. Practical, hands-on and tailored to our stack.”
J
Jegadhish
DevOps Lead
“The Kubernetes deep dives are fantastic. Finally understood how to debug failing pods like a pro.”
BK
Bala Krishna
Kubernetes Engineer
“Loved how every concept comes with a hands-on lab. Theory plus practice made it stick.”
N
Nethra
DevOps Engineer
“The Terraform module helped me automate our entire infra. Saved hours of manual work every week.”
M
Manikandan
Cloud Engineer
“Monitoring with Prometheus and Grafana finally clicked. The dashboards walkthrough was spot on.”
HK
Harish Kumar
SRE
“The CI/CD pipeline course with Jenkins and Argo CD is the most practical I have come across.”
RM
Ravi Mohan
Platform Engineer
“Switched careers into DevOps thanks to SRTechOps. The roadmap kept me focused the whole way.”
P
Praveena
DevOps Engineer
“The AWS networking section cleared up VPCs and subnets for me once and for all. Brilliant content.”
A
Aravind
AWS Engineer
“Live community events are a huge value add. Learned real war stories you will not find in docs.”
C
Charan
Cloud Architect
“Docker finally made sense after this course. Containerised my side projects the very same week.”
V
Vishal
DevOps Engineer
“Cleared my CKA exam with confidence. The mock scenarios mirrored the real thing closely.”
DK
Deepak Kumar
SRE
“The Azure track is underrated gold. Set up my first AKS cluster following along step by step.”
U
Udhaya
Cloud Engineer
“Interview prep here landed me a 40% hike. The questions were exactly what I got asked.”
Y
Yogeshwaran
Platform Engineer
“Monitoring with Prometheus and Grafana finally clicked. The dashboards walkthrough was spot on.”
HK
Harish Kumar
SRE
“The CI/CD pipeline course with Jenkins and Argo CD is the most practical I have come across.”
RM
Ravi Mohan
Platform Engineer
“Switched careers into DevOps thanks to SRTechOps. The roadmap kept me focused the whole way.”
P
Praveena
DevOps Engineer
“The AWS networking section cleared up VPCs and subnets for me once and for all. Brilliant content.”
A
Aravind
AWS Engineer
“Live community events are a huge value add. Learned real war stories you will not find in docs.”
C
Charan
Cloud Architect
“Docker finally made sense after this course. Containerised my side projects the very same week.”
V
Vishal
DevOps Engineer
“Cleared my CKA exam with confidence. The mock scenarios mirrored the real thing closely.”
DK
Deepak Kumar
SRE
“The Azure track is underrated gold. Set up my first AKS cluster following along step by step.”
U
Udhaya
Cloud Engineer
“Interview prep here landed me a 40% hike. The questions were exactly what I got asked.”
Y
Yogeshwaran
Platform Engineer
Built For You
Who Should Attend?
Whether you’re just starting out or levelling up, this program meets you where you are.
System AdministratorsFreshersApplication DevelopersSecurity EngineersCloud ProfessionalsPractitionersSoftware EngineersSite Reliability EngineersLooking for DevOps InternshipSolution ArchitectsInfrastructure ArchitectsTechnical LeadsIndividuals aiming to build credibility as experienced DevOps professionalsAspirants looking to work as DevOps professionals
Only a few seats left in this batch
Secure Your Seat & Start Today
Fill the 1-minute form — our team reaches out on WhatsApp/phone to confirm your seat and the next batch date.
90 Days
23 Modules
Certificate
4.6 (500+ reviews)•500+ professionals trained
Fill the Enrollment Form No payment to apply Takes ~1 minute Beginner-friendly
Prefer to talk first? Call us at +91 91504 77118
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.
Live Program
₹15,000 full program · live cohort
4.6(500+)500+ trained50+ batches
DevOps · Cloud · AI Training
Master AI‑Powered DevOps with AWS & Azure
90 Days Master Certification Program — even if you’re a complete beginner.
- 23 Modules
- 16+ Real Projects
- AI-Powered Workflows
- Placement Support
Nov batch starts soon
Learners from TCS, Infosys, Wipro, HCL, Cognizant & more
Real-World Projects
Lifetime Access
Free Support
Attend Any Batch
Enrollment
Choose Your Plan
Flexible payment options to start your DevOps journey today.
Two installments of ₹7,500 each
- First Installment: Due at the time of registration.
- Second Installment: Due within 30 days of the course start date.
Reserve your seat at just ₹7,500
Limited seats · enroll today
Hands-on with real industry tools
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.
Start
1
Month 1Weeks 1–4
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
2
Month 2Weeks 5–8
Containers, CI/CD & Orchestration
Docker
Kubernetes
Prometheus
Grafana
Datadog
ELK Stack
Jenkins
GitHub Actions
GitLab CI/CD
Argo CD
Amazon EKS
Python Automation
3
Month 3Weeks 9–12
Security, MLOps & AI Integration
SonarQube
Trivy
OWASP
Dependency Check
Vault
AWS Kiro
Claude Code
MLOps Fundamentals
MCP Server
Agentic AI
Mock Interview & Resume Prep
Production-Grade Project
Finish
You’re Job-Ready!
3 months · 24+ topics · production-grade projects — ready to land your DevOps & Cloud role.
7 hands-on projects · Portfolio-ready
Build real-world projects
A portfolio of production-grade projects you can showcase to employers — not just theory.
Project 1
Flask Web Application with CI/CD
Beginner5 build steps
Tech you’ll use
JenkinsDockerGitHubPythonBuild and deploy a Python Flask application with automated testing and deployment pipeline.
What you’ll build
- 1Create a Flask web application with multiple routes
- 2Write unit tests using pytest framework
- 3Set up Docker containerization
- 4Configure Jenkins CI/CD pipeline
- 5Deploy to AWS EC2 with automated rollback.
Project 2
Containerized Microservices Architecture
Beginner6 build steps
Tech you’ll use
DockerPythonPostgreSQLRedisDesign and implement a microservices architecture using Docker containers.
What you’ll build
- 1Break monolithic app into microservices
- 2Create Docker images for each service
- 3Set up inter-service communication
- 4Implement Redis for caching
- 5Configure PostgreSQL database
- 6Use Docker Compose for orchestration
Project 3
Kubernetes Cluster Management
Beginner6 build steps
Tech you’ll use
KubernetesYAMLEKSHHelm
Deploy and manage applications on Kubernetes with auto-scaling and load balancing.
What you’ll build
- 1Set up Kubernetes cluster on AWS EKS
- 2Create deployment and service manifests
- 3Configure horizontal pod autoscaling
- 4Implement load balancing with ingress
- 5Set up persistent volumes
- 6Monitor cluster health and performance
Project 4
Infrastructure as Code with Terraform
Intermediate6 build steps
Tech you’ll use
TerraformAWSEC2VVPC
Provision and manage cloud infrastructure using Terraform automation.
What you’ll build
- 1Design cloud architecture blueprint
- 2Write Terraform configuration files
- 3Create VPC, subnets, and security groups
- 4Provision EC2 instances and load balancers
- 5Set up S3 buckets for state management
- 6Implement infrastructure versioning
Project 5
Monitoring and Alerting System
Intermediate6 build steps
Tech you’ll use
PrometheusGrafanaEELK
KKibana
Implement comprehensive monitoring, logging, and alerting for production systems.
What you’ll build
- 1Set up Prometheus for metrics collection
- 2Configure Grafana dashboards
- 3Implement ELK stack for log aggregation
- 4Create custom metrics and alerts
- 5Set up notification channels
- 6Build SLA monitoring system
Project 6
Complete DevOps Pipeline Integration
Advanced6 build steps
Tech you’ll use
TerraformAWSEC2VVPC
Integrate all previous projects into a unified, production-ready DevOps pipeline.
What you’ll build
- 1Implement GitOps workflow with ArgoCD
- 2Add security scanning to pipeline
- 3Set up multi-environment deployments
- 4Configure backup and disaster recovery
- 5Implement blue-green deployment strategy
- 6Create comprehensive documentation
Project 7
ML Model Deployment Pipeline
Advanced10 build steps
Tech you’ll use
PrometheusDockerTerraformFlaskDeploy a machine learning model with complete MLOps pipeline including monitoring and A/B testing.
What you’ll build
- 1Prepare and validate ML model (.pkl file)
- 2Create Flask API for model serving
- 3Build Streamlit interface for testing
- 4Containerize application with Docker
- 5Set up Jenkins pipeline for ML deployments
- 6Deploy to AWS EKS with auto-scaling
- 7Implement model monitoring with Prometheus
- 8Create infrastructure with Terraform
- 9Set up A/B testing framework
- 10Monitor model drift and performance
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
Loved by learnersTrusted by 500+
Trusted by 500+
professionals
4.6(500+ reviews)50+ batches completed
Learners from TCS, Infosys, Wipro, HCL, Cognizant & more
See our Google Reviews4.6Built for you
Who Should Attend?
Whether you’re just starting out or levelling up, this program meets you where you are.
- System Administrators
- Freshers
- Application Developers
- Security Engineers
- Cloud Professionals
- Practitioners
- Software Engineers
- Site Reliability Engineers
- Looking for DevOps Internship
- Solution Architects
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- Technical Leads
- Individuals aiming to build credibility as experienced DevOps professionals
- Aspirants looking to work as DevOps professionals
Only a few seats left in this batch
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Fill the 1-minute form — our team reaches out on WhatsApp/phone to confirm your seat and the next batch date.
90 Days
23 Modules
Certificate
4.6 (500+ reviews)500+ professionals trained
Fill the Enrollment Form- No payment to apply
- Takes ~1 minute
- Beginner-friendly
Prefer to talk first? Call us at +91 91504 77118
Frequently Asked Questions
Will I get a certificate?
Yes. On completion you receive a training and internship certificate that you can add to your resume and LinkedIn.
Do I need any prior experience?
No prior experience is required. The program starts from Linux fundamentals and is designed for beginners as well as working professionals.
Will I have lifetime access to the training materials?
Yes. All session recordings and materials remain available to you even after the training ends.
What is the duration of the training?
The program runs for 90 days with daily live online/offline sessions covering 23 modules end to end.
Is support provided after training?
Yes. We provide end-to-end placement guidance and post-training support, and you can re-attend any future batch for free.