DevOps Course at Uncodemy Delhi Campus Details Inside

Module 1 — Syllabus (Weeks 1-4):
Week 1 — Linux Fundamentals
  • File system, users, permissions
  • Processes, services, package managers
  • Command-line productivity
Week 2 — Networking & Web Servers
  • DNS, HTTP/HTTPS, TCP/IP basics
  • SSH, firewalls, load balancing
  • Nginx & Apache setup
Week 3 — Git & Collaboration
  • Repos, branches, merges
  • Pull requests & code review
  • GitFlow & branching strategies
Week 4 — Scripting & Automation
  • Bash scripting essentials
  • Python for DevOps
  • Cron jobs & task automation

Module 1 — Hands-on Labs:
Lab 1: Set up an Ubuntu server on a cloud VM
Lab 2: Configure users, groups and SSH keys
Lab 3: Deploy a static website with Nginx
Lab 4: Write Bash scripts to automate backups
Lab 5: Create a Git repo with a branching workflow
Lab 6: Schedule automated jobs with cron

Deliverable:
□ A working Linux server with a live site
□ A Git repository with clean history
□ 3 automation scripts documented on GitHub

Module 2 — Syllabus (Weeks 5-8):
Week 5 — Docker & Containers
  • Images, containers, volumes, networks
  • Dockerfile best practices
  • Docker Compose for multi-container apps
Week 6 — CI/CD with Jenkins
  • Jenkins setup, agents and plugins
  • Declarative pipelines & stages
  • Webhooks, automated builds, artifacts
Week 7 — Kubernetes Fundamentals
  • Pods, deployments, replica sets
  • Services, ingress, config maps
  • kubectl and cluster operations
Week 8 — Monitoring & Logging
  • Prometheus metrics & alerting
  • Grafana dashboards
  • Centralised logging basics

Module 2 — Hands-on Labs:
Lab 1: Containerise a multi-tier app with Docker Compose
Lab 2: Push images to Docker Hub / ECR
Lab 3: Build a Jenkins pipeline that builds & deploys
Lab 4: Deploy the app to a Kubernetes cluster
Lab 5: Add Prometheus + Grafana monitoring
Lab 6: Trigger a pipeline automatically from a Git push

Deliverable:
□ A working CI/CD pipeline
□ An app running on Kubernetes
□ A monitoring dashboard with live metrics

Module 3 — Syllabus (Weeks 9-12):
Week 9 — AWS Cloud Essentials
  • EC2, S3, VPC, IAM, Route 53
  • Load balancers & auto scaling
  • Cost awareness & best practices
Week 10 — Infrastructure as Code
  • Terraform fundamentals & state
  • Modules, workspaces, remote state
  • Configuration management with Ansible
Week 11 — Live Project Sprint
  • End-to-end deployment on AWS
  • CI/CD + IaC + monitoring integration
  • Code review and documentation
Week 12 — Capstone & Interview Prep
  • Capstone project finalisation
  • Resume and portfolio polish
  • Mock interviews & feedback

Module 3 — Hands-on Labs:
Lab 1: Provision EC2, VPC and S3 with least-privilege IAM
Lab 2: Write Terraform to provision repeatable infrastructure
Lab 3: Configure servers with Ansible playbooks
Lab 4: Deploy a full app: Terraform → Jenkins → Kubernetes
Lab 5: Build a capstone project end-to-end
Lab 6: Present your project in a mock interview

Deliverable:
□ 2 live projects on GitHub with documentation
□ A Terraform + Ansible infrastructure repo
□ A capstone deployment you can demo in interviews

Daily Tracker:
Date: _________
☐ Attended class / watched recording
☐ Completed today's lab
☐ Practised on the terminal
☐ Documented notes
☐ Pushed code to GitHub
☐ Reviewed yesterday's topics
☐ Planned tomorrow

Today's Key Learnings:
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2. 
3. 

Tomorrow's Priorities:
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2. 
3. 

Weekly Tracker:
Week: _____ (Module 1 / 2 / 3)

Goals for this week:
1. 
2. 
3. 

Daily Progress:
Mon: ☐☐☐
Tue: ☐☐☐
Wed: ☐☐☐
Thu: ☐☐☐
Fri: ☐☐☐
Sat: ☐☐☐
Sun: ☐☐☐

Weekly Wins:
1. 
2. 
3. 

Challenges & Solutions:
1. 
2. 

Next Week's Goals:
1. 
2. 
3. 

Monthly Tracker:
Module: _____ (1 / 2 / 3)

Module Goal:
_______________________________________________

Week 1 Progress: ☐☐☐
Week 2 Progress: ☐☐☐
Week 3 Progress: ☐☐☐
Week 4 Progress: ☐☐☐

Module Wins:
1. 
2. 
3. 

Tools Mastered:
1. 
2. 
3. 

Labs Completed:
1. 
2. 
3. 

Live Projects Completed: _____
Mock Interviews: _____
Certification Mock Score: _____

Next Module's Goal:
_______________________________________________