DevOps Course — build the pipeline that ships code safely.
CI/CD, Docker, Kubernetes and monitoring — practical DevOps skills for engineers who want deploys to be routine, not risky.
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50+ founders consulted last month
DevOps isn't a job title, it's a set of skills: automation, containers, and the observability to know when something's wrong before your users do.
Course outcomes
Every module ships with a working tool or template you keep using after class.
Build CI/CD pipelines from scratch
GitHub Actions / GitLab CI pipelines from commit to production.
Containerize and orchestrate workloads
Docker fundamentals through to Kubernetes basics.
Set up monitoring & alerting
Observability stacks that catch problems before users do.
Automate infrastructure provisioning
Infrastructure as code with Terraform.
Deploys as a non-event
You'll build real CI/CD pipelines, containerize and orchestrate workloads, and set up the monitoring that turns incidents into non-events instead of fire drills.
Who this is for
- Developers who want to own their own deployment pipeline
- Sysadmins moving into modern DevOps practice
- Engineers who already have a cloud architecture in place and need the delivery skills
Week-by-week breakdown
A clear, transparent syllabus — no surprises.
CI/CD fundamentals
Build pipelines that make deploys routine, not risky.
Docker & containers
Containerizing applications for consistent environments.
Kubernetes basics
Orchestrating containers at scale.
Monitoring & observability
Logging, metrics and alerting for production systems.
01Do I need cloud architecture experience first?
No — this focuses on the DevOps/delivery layer; you can apply it to any existing infrastructure.
02How is this different from Multi-Cloud Architecture & DevOps?
This is DevOps only — no multi-cloud architecture design. Pick this if you already have an architecture and just need the pipeline skills.
03Which CI/CD tools are covered?
GitHub Actions and GitLab CI, with concepts transferable to Jenkins or CircleCI.
04Is Kubernetes covered in depth?
This course covers Kubernetes fundamentals — enough to run and operate workloads confidently.
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