Production & LLMOps · TRACK 01/05
LLMOps Fundamentals
Why the prototype was easy and production isn't.
// THE TRACK
01 · START HERELLMOpsUnderstand what LLMOps covers and why keeping an LLM app alive in production is a different job from building the demo.BEGINNERTraining vs InferenceSeparate the one-time, billion-dollar training phase from the per-request inference phase your API bill actually pays for.INTERMEDIATEPrototype to ProductionLearn the failure modes that only appear with real users — rate limits, weird inputs, runaway costs — and how to get ahead of them.BEGINNERProduction LLM StackSee the full layered architecture of a production LLM app and understand what each layer is for and when to add it.BEGINNERLLM GatewaysUnderstand what an LLM gateway does, how LiteLLM and Portkey differ, and whether your app needs one yet.INTERMEDIATEModel RoutingLearn how model routers decide which requests deserve an expensive model and how much routing can actually save.INTERMEDIATEProvider FailoverLearn to design fallbacks and multi-provider failover so a provider outage degrades your app instead of killing it.INTERMEDIATESelf-Host vs API CostYou'll understand the real break-even point between paying a provider per token and renting GPUs to host an open-weight model yourself.INTERMEDIATEMulti-Region LLM DeploymentYou'll understand why and how teams run LLM apps in more than one region, and how residency rules constrain where prompts and logs are allowed to go.INTERMEDIATEModel Deprecation & MigrationYou'll understand how to prepare for the day your provider retires the model your app depends on, and migrate without breaking behavior.INTERMEDIATEPortkeyAfter reading, you'll understand what Portkey is, how its gateway routes and governs production LLM traffic, and how it bundles observability and guardrails into one control plane.INTERMEDIATE