DevOps & Cloud Engineering Bootcamp with Docker & Kubernetes
Build the pipelines and infrastructure that keep production systems running, from CI/CD to Kubernetes.
10% launch discount applied · EMI option available
- Live mentor-led sessions
- Assessments & project reviews
- 3-month internship
- Certificate of completion
- AI Interview + AI Resume tools
- Placement assistance up to 12 months
Who this course is for
- Full stack or backend developers who want to specialize in infrastructure and deployment
- Graduates and engineers targeting DevOps, SRE or Cloud Engineer roles
- Anyone who wants to own how software actually reaches production, not just write it
Curriculum
- Linux fundamentals for engineers
- Networking basics: DNS, HTTP, load balancing
- Shell scripting for automation
Capstone project
A fully automated CI/CD pipeline deploying a containerized application to the cloud, with monitoring in place.
Internship & certification
3-month internship
After your capstone, you'll complete a 3-month internship applying your DevOps & Cloud Bootcamp skills to real project work, guided by your mentor, so you graduate with experience, not just a completed course.
Certificate of completion
Once you finish the course and internship, you get a verifiable certificate for your resume and LinkedIn.
Tools & technologies
Career outcomes
Where this track gets you hired
Hiring partners who actively recruit for the roles this track trains you for.
Real Projects You'll Work On
The CI/CD Pipeline
Build a GitHub Actions workflow that lints, tests, builds a Docker image, pushes it to a registry, and deploys on every push, the single most commonly expected project in DevOps hiring.
The Microservices Deployment
Deploy two communicating microservices to Kubernetes, provisioned with Terraform and promoted through GitOps.
The IaC Environment
Provision a full cloud environment from scratch using reusable Terraform modules and a remote state strategy, not the console.
The Automation Scripts
Write shell scripts that automate a real, repetitive ops task end-to-end.
The Observability Stack
Add Prometheus and Grafana to a live service, with dashboards and alerts that surface failures before users notice.
The Capstone Pipeline
Ship a fully automated CI/CD pipeline deploying a containerized app to the cloud, with monitoring in place.
Other tracks you might be considering
Full Stack Web Development Bootcamp with GenAI
Build and ship production web apps, with AI features built in, not bolted on.
Data Science and Machine Learning Bootcamp
Go from data to decisions with statistics, ML modelling, and production ML in one track.
Applied Gen AI & Agentic AI Bootcamp
Specialize in the highest demand skill in tech right now: LLMs, agents, and production AI systems.
