Specialist track

Cloud & DevOps Engineering

Become the engineer who gets software to production and keeps it running. You learn modern cloud and DevOps practice hands-on — pipelines, containers, infrastructure-as-code and observability — automating with Python and Bash instead of clicking through consoles. Part-time, project-driven, taught by practitioners.

Duration: 12 weeks
Commitment: ~12 hrs/week · part-time, evenings
Format: Live online — with optional in-person lab days in Nairobi
Level: Intermediate · for people who already write code

Specialist track

$1,350

Indicative · your local currency · pre-VAT-determination

Deposit $350, then monthly installments

Cohort 1 · Online

Starts 5 October 2026

Enrolling

Apply now

A short application — no payment on this site.

Refund & deferral policy

What you'll learn

Linux, the command line, and automation with Python and Bash
Docker and Kubernetes: building, running and orchestrating containers
CI/CD pipelines that build, test and deploy on every commit
Infrastructure-as-code and configuration with Terraform and Ansible on AWS and GCP
Observability: metrics, logs, alerts and on-call fundamentals
Working AI-natively: drafting IaC, pipelines and runbooks with AI agents — reviewed and verified before anything applies

AI-native by default

The AI classes in this program

Every Lightspace program teaches the AI-native method — not a bolt-on module, but a working style woven through the projects.

AI agents for ops: drafting Terraform, Ansible playbooks, pipelines and runbooks with review discipline
The agent loop for infrastructure: nothing applies until reviewed and verified
Context engineering for infrastructure repos — conventions and project memory agents can follow
AI-assisted incident debugging and log analysis

The curriculum

1
Foundations
Weeks 1–3
Linux, the shell, networking basics, Git, and scripting with Python and Bash to automate real tasks.
2
Containers & CI/CD
Weeks 4–6
Docker images, registries, and pipelines that build, test and ship automatically with GitHub Actions.
3
Cloud & infrastructure-as-code
Weeks 7–9
Deploying to AWS and GCP, Kubernetes fundamentals, provisioning with Terraform, and configuration management with Ansible.
4
Operate & ship
Weeks 10–12
Monitoring, logging, alerting and cost control, then a capstone production deployment you present and defend.

What you leave with

A deployed, containerised app with a full CI/CD pipeline and IaC
The judgement to design reliable, cost-aware cloud infrastructure
A portfolio and vocabulary that pass a DevOps/SRE interview

How you're taught

Live cohorts led by working practitioners — not pre-recorded videos.

Live, not recorded

Real classes on a schedule, with a group that keeps you moving.

Practitioner instructors

Taught by people who build and ship software for a living.

Feedback on your work

Code review and honest feedback on real projects, every week.

Questions

Where does it take place?

Live online — you can join from anywhere in the world. In-person lab days at our Nairobi base are optional, not required.

How much time does it take?

12 weeks, at roughly ~12 hrs/week · part-time, evenings.

What do I need to start?

Intermediate · for people who already write code.

How do payments work?

There's no payment on this website. You submit a short application; if you're accepted, our team emails you to confirm your place and arrange payment — a deposit, then monthly installments.

What language is it taught in?

All live classes and materials are in English.

Do I need cloud experience already?

No prior cloud experience is needed, but you should be comfortable writing code and using the command line. We start from Linux and scripting fundamentals.

Full details in our Refund, withdrawal & deferral policy.