DevOps Engineering
Master CI/CD, containerization, and infrastructure automation with Docker, Kubernetes, Jenkins, and Terraform.
Who This Course Is For
- System admins and developers moving into DevOps roles
- QA/testers wanting to add CI/CD automation skills
- Cloud professionals wanting infrastructure automation expertise
Prerequisites
- Basic Linux command-line skills
- Basic understanding of the software development lifecycle
Full Curriculum
7 modules · 96 hours of live instruction
1Linux & Scripting Foundations~10 hrs
- Linux file system and permissions
- Shell scripting basics
- Networking fundamentals for DevOps
2Git & Version Control~6 hrs
- Branching strategies (GitFlow, trunk-based)
- Pull requests and code review workflows
- Git hooks basics
3Docker & Containerization~16 hrs
- Images, containers, Dockerfiles
- Docker Compose for multi-container apps
- Container registries
4Kubernetes~20 hrs
- Pods, deployments, services
- ConfigMaps, secrets, and volumes
- Helm charts basics
5CI/CD Pipelines~18 hrs
- Jenkins pipeline-as-code
- GitHub Actions workflows
- Automated testing and deployment gates
6Infrastructure as Code~14 hrs
- Terraform basics and providers
- Provisioning cloud infrastructure
- State management best practices
7Monitoring & Capstone~12 hrs
- Prometheus and Grafana setup
- Log aggregation basics (ELK)
- End-to-end CI/CD pipeline for a containerized app
Tools & Technologies Covered
Hands-On Projects
End-to-End CI/CD Pipeline
Git push triggers build, test, containerize, and deploy to Kubernetes automatically.
Infrastructure as Code Setup
Terraform scripts provisioning a full cloud environment (VPC, compute, storage) repeatably.
Monitoring & Alerting Stack
Prometheus + Grafana dashboards monitoring a live containerized application.
Multi-Environment Kubernetes Deployment
Helm-based deployment strategy across dev/staging/prod namespaces.
What You'll Be Able to Do
Frequently Asked Questions
Do I need cloud experience before this course?
Basic familiarity with any cloud provider (AWS/Azure/GCP) helps but isn't mandatory — core concepts are covered as needed.
Is this course hands-on or mostly theory?
It is heavily hands-on — every module includes labs, and the course culminates in 4 real deployed projects.
What is the batch schedule?
Weekday batches run 7-9 PM IST; weekend batches run Saturday-Sunday 10 AM-1 PM IST, recorded for lifetime access.
DevOps vs Cloud certification — which first?
If you already have a cloud certification (AWS/Azure/GCP), DevOps is the natural next step; if not, we recommend starting with a cloud certification first.
Is placement support included?
Yes — resume building, mock interviews, and referrals to our hiring partner network are included.
What salary can I expect after this course?
DevOps engineers with 0-2 years of experience typically start at ₹6-10 LPA in Indian IT services and product companies, with faster growth than traditional sysadmin roles.
Ready to Start DevOps Engineering?
Next batch enrolling now — live online, with placement support included.