This site reliability engineering course teaches how teams keep apps fast and available, using SLIs, SLOs, monitoring and incident response. Classes are live in Hinglish, in a small batch of up to 30, with hands-on labs and mentor review.
At a glance
Tools
Who it's for
Before you start
Outcomes
Real skills you can show — every project goes on your GitHub.
Syllabus
Each module has a clear goal, live classes, a lab session and practice you push to GitHub. Your mentor reviews it and tells you exactly how to improve.
Module 1
Explain what SRE is and why reliability is treated as a feature.
Practice: Pick a popular app and list what 'reliable' means for its users
Module 2
Turn 'the site should be fast' into numbers a team can measure and act on.
Practice: Write SLIs and SLOs for a sample web service
Module 3
Collect and display the numbers that show how a service is doing.
PrometheusGrafana
Practice: A Grafana dashboard for a sample service showing the four golden signals
Module 4
Find the cause of a problem by searching logs and following a request.
ELK stackOpenTelemetry (introduction)
Practice: Ship app logs into Kibana and find a hidden error
Module 5
Get alerted about real problems and respond to an incident in an organised way.
AlertmanagerPagerDuty or Opsgenie (overview)
Practice: Run a mock incident and write a post-incident review
Module 6
Test how a system behaves under stress and plan for failure before it happens.
k6 or Locust (load testing)
Practice: Load test an app, find its limit and write a short capacity plan
Module 7
Replace repeated manual fixes with scripts and platform features.
KubernetesTerraformPython or Bash
Practice: A Kubernetes app that restarts and recovers by itself after a failure
Module 8
Take a sample service, measure it, break it, and make it better.
Practice: A monitored, load-tested service with SLOs, alerts and a post-incident review
Projects
Pick one, plan it like a real team with tickets, build it, and present it. It becomes the centrepiece of your portfolio.
Measure the availability and speed of a sample service and show its error budget in Grafana.
Break your service on purpose, respond using a runbook and write a blameless review.
Find where a service slows down under traffic and say how much capacity it needs.
A Kubernetes setup that detects failed pods and recovers without manual work.
Opening soon
This specialisation isn't scheduled yet. Join the waitlist and we'll tell you first when a batch opens. We open the courses with the most interest first.
Where it can lead
Roles this skill helps you towards
No course can guarantee a job. We help you build real skills, real projects and a portfolio you can show.
FAQ
The batch is not scheduled yet. Join the waitlist and we will tell you first when it opens. No dates or prices are fixed today.
No. It is intermediate to advanced. You should know Linux, basic cloud and Docker first. If not, start with our Cloud Computing and DevOps courses.
DevOps is a way of working together to ship software faster. SRE adds clear reliability targets, error budgets and an engineering approach to running services.
Classes are live in Hinglish. Tools, dashboards and notes are in English, as they are at work.
Most labs run on your laptop with Docker or a local cluster. We use free tiers and sandbox accounts, and we shut resources down after class, so no one gets a surprise cloud bill.
We cannot promise any job. The course gives you hands-on projects and the vocabulary used in interviews. Most people reach SRE after a few years in DevOps or backend roles.
Keep going
This DevOps course teaches you to package apps in Docker, run them on Kubernetes and automate builds with Jenkins. Classes are live in Hinglish, in a small batch of up to 30. Every lab is reviewed by a mentor and your work goes to GitHub.
This cloud computing course teaches how apps run on AWS, Azure and Google Cloud, starting from what the cloud actually is. Classes are live, in Hinglish, in a small batch of up to 30. You practise in real cloud consoles and a mentor reviews every assignment.
This CI/CD and Terraform course shows you how to test and ship code automatically and how to create cloud servers from code. Classes are live in Hinglish, in a small batch. You build real pipelines and a mentor reviews every assignment.
This backend development course teaches you to build the server side of real apps: REST APIs, databases, login and security, using Python, Django, Django REST Framework and PostgreSQL. Classes are live, in Hinglish, in a small batch, and a mentor reviews every assignment. A short overview module also shows how Node.js/Express and Flask do the same jobs.
Baking your code to give you a pie
Join a live demo class, meet the mentor and see how a CodeBakerz batch works. No payment, no pressure — decide after.
