Build real engineeringprojects
Learn system engineering by building real projects. XLabs takes you from guided practice to production-style work with terminals, validation, evidence, and real engineering workflows. Start with guided learning. Finish with project evidence you can explain.
News Scraper Production Readiness
Move environment values into Kubernetes config.
Use cluster evidence, not screenshots or guesses.
kubectl apply -f k8s/05-configmap.yaml kubectl rollout status deployment/news-backend
Finish with work that looks like real engineering.
Projects combine the skills from labs and challenges into phased implementation work: read the brief, set up the workspace, complete technical tasks, validate outcomes, and collect evidence.
AI Image Classifier Productionization
Take a developer-built AI app through Docker, Kubernetes, CI/CD, validation, and production-style delivery evidence.
A deployable AI application with repeatable build, runtime configuration, Kubernetes manifests, and release evidence.
News Scraper Production Readiness
Turn a full-stack news scraper into a Kubernetes-ready service with persistence, health checks, rollout safety, and CI/CD.
A multi-service deployment path with database readiness, runtime config, troubleshooting evidence, and release controls.
Labs teach the individual skills. Challenges test your readiness. Projects ask you to connect everything into one delivery workflow.
Everything before projects has a job.
Labs teach. Challenges test. Projects prove. Hubs, labs, and challenges are the preparation layer that helps you build enough understanding to complete real production-style projects.
Pick a skill path
Choose the hub that prepares you for the project work you want to do.
Learn and practice
Use theory and guided labs to build the command-level understanding.
Test readiness
Solve challenges when you need to prove the skill without hand-holding.
Complete projects
Bring the skills together in phased engineering work with validation and evidence.
The goal is not to finish more content. The goal is to become ready for engineering work you can explain and validate.
Choose Your Learning Environment
Run hands-on labs locally on your machine or in our cloud infrastructure. Both options give you real hands-on experience with production-grade tools.
Local Execution
Run labs on your own machine with Docker
Cloud Execution
Run labs on our high-performance servers