Master production platforms, stage by stage.
Structured journeys through platform engineering, MLOps, and LLMOps — our guides and knowledge graph, combined with the best open-source resources, in the order that actually works.
CURRICULUM SCOPE
7 paths
30 stages, 90 practical milestones, and 75 curated open-source resources — connected to 26 technical guides and a 95-node glossary.
How the paths work
Pick your path
Filter by role and level. Each path is an ordered journey — beginner foundations through advanced AI platform operations.
Work the stages
Every stage links key concepts in the knowledge graph, hands-on SEER REAL guides, and curated open-source docs and specs.
Check off milestones
Practical milestones prove you applied it — not just read it. Progress is saved in your browser; no account needed.
ROLE
LEVEL
Paths are the route. The library is bigger.
Every stage draws from the same connected library: the platform engineering knowledge graph, hands-on technical guides, and the Production Radar's adoption signals. Wander off the path any time.
Platform glossary
95 connected concepts, practices, and tools — with typed relationships and adoption signals.
Technical guides
26 step-by-step how-tos covering the tools these paths put in production.
Production Radar
Adopt / Trial / Assess / Caution signals for the AI platform tool landscape.
Skip ahead with an assessment
Learning for a live production problem? A stack assessment maps your fastest route.