Building Production LLM Applications
Ship real AI products — the stack, evaluation, guardrails, and operations that separate a demo from production.
A ChatGPT wrapper is a weekend project. A production LLM application — reliable, evaluated, safe, observable, and affordable at scale — is real engineering. This capstone course teaches that engineering.
It ties together the whole AI-engineering stack: choosing models, prompt/context engineering, RAG and agents in products, structured output, the evaluation discipline that is the real moat, observability, cost control, guardrails, and shipping/operating nondeterministic systems. Grounded in current 2026 practice.
What you'll be able to do
- Design the full production LLM application stack
- Build reliable structured output, RAG, and agents into a product
- Create the eval + observability loop that lets you improve safely
- Ship and operate a nondeterministic system with guardrails and cost control
Curriculum
Module 1: Foundations
FreeThe production LLM stack, choosing and routing models, context engineering, and reliable structured output.
Module 2: Core Capabilities
PremiumRAG and agents in products, cost and latency engineering, and guardrails.
- RAG in products15 min
- Agents and tools in products15 min
- Cost and latency engineering15 min
- Guardrails and safety18 min
Module 3: Evaluation & Observability
PremiumWhy evals are the moat, building eval sets, LLM-as-judge, and LLMOps tracing.
- Evals are the moat15 min
- Building eval sets that work15 min
- LLM-as-judge (and its biases)15 min
- Observability and LLMOps15 min
Module 4: Ship & Operate
PremiumDeploying nondeterministic systems, iterating in production, AI product UX, and bringing it together.
- Deploying nondeterministic systems15 min
- Iterating in production12 min
- Product and UX for AI12 min
- Bringing it all together15 min
Get the full course — one-time $29.
Start Module 1 free today. Buy once for lifetime access to the remaining 3 modules — no subscription.
Want all 53? Get the All-Access Bundle for $99 — one purchase, every course.