3–4 months
DevOps
$200
Linux, networking, cloud, CI/CD, containers, Kubernetes and Terraform, graded in the browser.
DevOps + MLOps · graded in the browser
The terminal is the classroom.
A disposable Linux sandbox, a real shell, and a path from the filesystem to the pipeline. Every activity is graded on the machine — never on what the terminal printed.
97 graded labs · 15 free labs · 40 DevOps modules · 36 MLOps modules
ophir sandbox start --track 06provisioning linux · bash 5.2 · kernel 6.8sandbox ready in 11scurl -s localhost/healthGet "/health": connection refused# the service is down. read it, then fix it.systemctl start nginxnginx active (running)curl -s localhost/health{"status":"ok"}checks 3/3 · graded on the filesystem
sandbox readynginx runninghealth 2003/3 activities
Sample session. Every command runs against your own sandbox, provisioned on start and destroyed on exit.
The Ophir Sandbox Challenges.
Short, graded terminal problems on a disposable machine. Read the error, make the change, prove it - no video and no setup.
Free tier - daily rotation in development
These three labs are live and free. A daily rotation and a shareable streak are in development. Browse the lab catalog.
A look inside the sandbox.
Not a course catalogue. The shell, the filesystem and the validation are the product; these are captures of the running UI.
Actual product UI
A graded activity
Instructions on the left, a live shell on the right. Validation reads the filesystem after every command.
The catalog, honestly gated
The Linux labs and two AI platform labs are open to everyone. The rest show their real difficulty and duration, with a request-access action.
Cohorts, payment and access
Prices in USD, card checkout, and bank-transfer accounts for USD, EUR, GBP and NGN.
CI/CD
Commit -> build -> test -> deploy, with a status at every stage.
Kubernetes
A service routing to pods scheduled across nodes.
Terraform
Provider -> resource -> state, with outputs as the evidence.
Curriculum
Emmanuel Oluyemi
Founder, CEO & DevOps engineer
Linux-first, graded in the browser
Two paths and a cohort. One order.
A DevOps path, an MLOps path and the 60-day AI Platform Engineering cohort. Every track names what it assumes you can already do, and each one ends in lab work at the Linux shell rather than a summary.
22 tracks · 76 modules · 31 cohort labs · 97 graded labs
Foundation
Get the machine, the network, and the history under your hands.
3 tracks · 10 modulesBuild
Cloud resources, and the pipeline that ships to them.
2 tracks · 9 modulesOperate
Containers, infrastructure as code, and the signal that says it works.
3 tracks · 13 modulesSecure & ship
Break it on purpose, then prove it in a capstone you can show.
2 tracks · 8 modulesInterview prep · from Vocalis
Test yourself before you enrol.
Twenty senior-level DevOps and Cloud interview questions — FinOps, Kubernetes, CI/CD, AI infrastructure and SRE. Answer one out loud and Vocalis, our voice-practice app, scores what you actually said.
- 01VPC & Network Cost Optimization
- 02Etcd Disaster Recovery
- 03Zero-Downtime Secret Rotation
- 04…and seventeen more across the five tracks.
Open the 20-question bank
Free · no account needed · audio stays on your device
Start with one. Combine two. Take all four.
Every cohort runs on the same graded labs. Prices are in USD, with card checkout and bank transfer for USD, EUR, GBP and NGN.
$50 off each additional programme · no payment taken on this page
3 months
MLOps
$200
Data versioning, experiment tracking, model serving and production monitoring.
8 weekends
AI Automation
$100
Eight weekend sessions on automating work with AI tools.
60 days
AI Platform Engineering
$200
The 60-day cohort: cloud foundations, Terraform and Kubernetes, GPU scheduling, model serving and system design.
DevOps + MLOps $350 · all four $550. Two instalments available.
Start where the path starts.
Track 01 assumes nothing — not a cloud account, not a command-line habit. Once Linux is under your hands, the rest of the path opens in order, and each track tells you exactly what it needs from the one before it.