Linux to DevOps Production training.

Below is a clear, professional, sellable course outline for a Linux + DevOps course, designed for freshers to 3–5 yrs experience,

This is production-focused, not theory-heavy.

🚀 Linux + DevOps Engineer

Production-Focused Course Outline

Duration: 12 Weeks (flexible)

Mode: Live / Hands-on

Target Audience:

Freshers, Linux SysAdmins, Support Engineers, DevOps Aspirants

🔹 Module 1: Linux Fundamentals (Production Foundation)

Everything else depends on this.

1. Linux architecture & filesystem hierarchy
2. Essential file & directory commands
3. Users, groups, permissions & sudo
4. Package management (yum / dnf / apt)
5. Processes, signals & job control
6. System services & systemd
7. Disk management & filesystems
8. Networking basics (ports, services, troubleshooting)
9. Log files & log analysis

Hands-on scenarios:

1. Disk full incidents
2. Service not starting
3. Permission issues breaking apps
4. High CPU / memory usage

🔹 Module 2: Linux Troubleshooting & Production Scenarios

Where confidence is built.

1. CPU, memory, swap & OOM analysis
2. Disk, inode & IO bottlenecks
3. Process debugging & stuck services
4. Boot issues & recovery
5. Network debugging basics
6. Log-based root cause analysis
7. Structured troubleshooting approach

Real-world labs:

1. Production outage simulation
2. Incident analysis & RCA thinking

🔹 Module 3: Shell Scripting for DevOps

Automate before you panic.

1. Bash fundamentals
2. Variables, conditions & loops
3. Functions & arguments
4. Automating backups & cleanup
5. Monitoring scripts
6. Error handling & logging

Hands-on:

1. Disk monitoring script
2. Service health checker
3. Log rotation automation

🔹 Module 4: Git & Version Control

Collaboration is mandatory.

1. Git basics & workflow
2. Branching & merging
3. Conflict resolution
4. GitHub / GitLab usage
5. Best practices for teams

🔹 Module 5: CI/CD Fundamentals

Where DevOps actually starts.

1. DevOps principles & mindset
2. CI vs CD
3. Jenkins fundamentals
4. Pipeline concepts
5. Build & deploy basics
6. Failure handling in pipelines

Hands-on:

1. Simple CI pipeline
2. Deployment flow understanding

🔹 Module 6: Containers & Docker

Packaging applications the right way.

1. Container concepts
2. Docker architecture
3. Images & containers
4. Dockerfiles & best practices
5. Networking & volumes
6. Common container issues

Hands-on:

1. Containerizing an application
2. Debugging container failures

🔹 Module 7: Kubernetes / OpenShift Basics

Introduction to platform engineering.

1. Kubernetes architecture
2. Pods, services & deployments
3. ConfigMaps & Secrets
4. Basic troubleshooting
5. OpenShift overview & differences

🔹 Module 8: Monitoring & Observability

Visibility before failure.

1. Monitoring concepts
2. Logs vs metrics vs alerts
3. Basic Prometheus & Grafana understanding
4. Alert fatigue & best practices
5. Incident response basics

🔹 Module 9: Security Basics for DevOps

Security is everyone’s responsibility.

1. Linux security basics
2. File & process security
3. Secrets handling
4. Container security basics
5. Access control concepts

🔹 Module 10: Interview Preparation & Career Guidance

Turning skills into offers.

1. Linux & DevOps interview questions
2. How to explain production issues
3. Resume review & correction
4. LinkedIn & Naukri profile guidance
5. Mock interviews & feedback
6. Career roadmap discussion

🎯 What Makes This Course Different

1. Production-oriented training
2. Real incident-based learning
3. Clear troubleshooting mindset
4. Interview-focused explanations
5. Practical + conceptual balance