DevOps Basics – From Code to Deployment
Learn how modern teams build, test and deploy software continuously using DevOps practices and tools.
This course gives you a clear introduction to DevOps, CI/CD, Git, Docker, Linux basics, and how everything fits together.
What You’ll Be Able To Do
Explain what DevOps is and why companies use it
Understand the software delivery pipeline end-to-end
Use Git & GitHub for version control (beginner level)
Understand how CI/CD pipelines work (Jenkins / other tools)
Understand basics of Docker containers & deployment concepts
Be ready to go deeper into Cloud + DevOps + Kubernetes later
Who Is This Course For?
B.Tech / BSc / BCA / MCA students (CS / IT)
Freshers who want to move into DevOps / Cloud / SRE roles
Developers who only know coding, and want to understand deployment & automation
Anyone curious about how code goes from laptop → production server
Prerequisites
Basic understanding of software development (any programming language)
Very basic command-line comfort (helpful, but we’ll revise)
No prior DevOps or Cloud experience required
Course Structure (Overview)
What is DevOps?
Problems with traditional Dev & Ops silos
Dev vs Ops – why they used to fight
DevOps as culture + practices + tools
Key goals:
Faster delivery
Higher quality
Automation
Continuous feedback
DevOps lifecycle:
Plan → Code → Build → Test → Release → Deploy → Operate → Monitor
Git & Version Control Basics
Why version control is important
Git basic concepts:
Repository, commit, branch, merge
Common Git commands (concept + practice):
git init,git clonegit add,git commit,git push,git pullgit status,git log
Using GitHub / GitLab / Bitbucket (high-level):
Remote repos
Pull requests (concept)
Build & Continuous Integration (CI)
What is Continuous Integration?
The idea of automated builds & tests on every commit
Tools overview:
Jenkins (most common)
GitHub Actions / GitLab CI (concept)
Typical CI workflow example:
Developer pushes code → Build server compiles/tests → Feedback
Continuous Delivery / Deployment (CD)
Difference between:
Continuous Integration
Continuous Delivery
Continuous Deployment
Pipelines:
Build → Test → Package → Deploy (staging/production)
Example:
Auto-deploy a simple app to a test server after tests pass (concept / demo depending on your setup)
Docker & Containers – Basics
Problems with “works on my machine”
What are containers? Why Docker?
Image vs container
Basic Docker commands:
docker pull,docker run,docker ps,docker stop
Dockerfile (intro, simple example)
How containers help DevOps & CI/CD
Infrastructure & Environment Basics
Different environments:
Dev, Test, Staging, Production
Configuration management (concept intro – Ansible / others)
Infrastructure as Code (IaC) – high-level idea (Terraform / CloudFormation names only)
Monitoring & Logging (Overview)
Why monitoring matters
Basic metrics: CPU, memory, uptime, error rates
Logging basics – application logs & system logs
Tools name-drop (just awareness):
Prometheus, Grafana, ELK stack (Elastic, Logstash, Kibana)
(You don’t have to go deep; just show how DevOps completes the feedback loop.)
Putting It All Together – Mini Flow
You can present a simple real flow:
Developer writes code → pushes to Git → CI server builds & tests → Docker image created → deployed to test server → logs & metrics watched.
If you want, you can turn this into a small demo during class.
Tools You’ll Use (Beginner Level)
Git & GitHub
Linux command line (basic)
Jenkins / or other CI tool (intro-level)
Docker (basic containerization)
(Exact tools depend on what you’re comfortable installing.)
Key Highlights
Perfect entry point into DevOps & Cloud
Concepts explained in simple diagrams & workflows
Very helpful for modern developer & DevOps roles
Connects your coding skills with real-world deployment
FAQs
Q1. I’m a beginner developer. Is DevOps too advanced for me? No. This course is designed as DevOps Basics – to give you a clear mental model of how things work.
Q2. Do I need to know Linux well? Not deeply. We cover basic commands needed to understand servers & containers.
Q3. Will we learn Kubernetes here? Not in-depth. This is a foundation course.
After this, you can move to “Kubernetes / Advanced DevOps” as a separate program.
Q4. Does DevOps involve coding? Yes, DevOps engineers often write scripts, config files, pipeline definitions.
You should be comfortable with at least one programming/scripting language.
Q5. Is this useful for developers also, not just DevOps people? Absolutely. Modern developers are expected to understand CI/CD, Git, basic Docker & deployment concepts.
Ready to See How Real Software Gets Delivered?
DevOps joins everything you’ve learnt so far – coding, testing, cloud – into one smooth pipeline.
Add:
[Enroll in DevOps Basics]
[Talk to Mentor]