Curriculum Index
Structured paths, real environments.
Every path is an end-to-end journey from fundamental principles to production architecture. Every skill breaks down into manageable topics mixing foundational knowledge with hands-on tasks verified by an automated validator.
0 XP — pass a lab to start9
Learning Paths
Career-oriented tracks
75
Target Skills
Tooling & core systems
324
Hands-On Labs
Live interactive tasks
100%
Free & Open
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Curriculum Catalog
Active Learning Tracks
Choose your engineering specialization and start practicing in an isolated browser sandbox.
DevOps Engineer
From the Linux shell to production Kubernetes — the full infrastructure toolchain, learned by operating it.
AI Engineer
From Python fundamentals to RAG, agents, MCP and LLMOps — building AI systems that actually run.
MLOps Engineer
Pipelines, tracking, registries and serving — the infrastructure discipline behind machine learning in production.
Data Engineer
From raw events to trustworthy tables - modelling, loading and orchestrating the data your company actually runs on.
Backend Engineer
APIs, databases, queues and the reliability work that keeps a service up at 3am.
Frontend Engineer
Types, components and the browser budget - interfaces that stay fast and stay usable.
Codex Engineer
Drive an AI coding agent end to end - instructions, sandbox, review and automation.
Claude Engineer
Claude Code from the terminal - context files, MCP servers, hooks and subagents.
Copilot Engineer
AI pair programming that survives contact with a team - instructions, agentic edits and real review.