Prompt Engineering and LLM Apps in Production: Evals, Cost and Safety

Description

You’ve used an LLM API. Now ship it to production.

Most engineers treat LLM features like prototypes: prompt-tweak-and-pray, no evals, no cost tracking, no safety guardrails. That works until it doesn’t—until your prompt drifts, your costs spike, or your system fails in production.

This course teaches you how to build LLM systems that are measurable, cost-controlled, safe, and debuggable.

You’ll learn:
– **Prompt design patterns** that actually work: few-shot learning, chain-of-thought, role-play, and how to test them
– **Structured outputs and tool use** so your LLM’s responses are reliable and parseable
– **Retrieval systems (RAG)** that work: chunking, embedding, ranking, and measuring quality
– **Evals and regression suites** that catch drift before production
– **Cost and latency budgeting** so you stay within your SLAs
– **Caching, batching, and optimization** to squeeze every token
– **Guardrails and red-teaming** to ship safely
– **Observability and monitoring** so you know when things break

Then you’ll ship a complete LLM feature end to end: design, build, test, optimize, deploy, monitor. You’ll write a postmortem of a failure and how you fixed it. That’s your capstone.

This is enterprise-grade training. Every lesson teaches one idea with a worked example and a hands-on exercise. No filler. No marketing. Just the patterns and practices that separate hobby projects from production systems.

By the end, you’ll have built and shipped a real LLM feature. You’ll know how to measure it, optimize it, and keep it safe. You’ll have a certificate and a portfolio project. And you’ll be ready to ship LLM features at scale.

**Who this is for:**
Backend and full-stack engineers shipping LLM features. You know Python and APIs. You’ve called an LLM API before. You’re ready to move beyond prompt tweaking.

**What you’ll build:**
A complete LLM feature: prompt + retrieval + structured outputs + evals + cost tracking + guardrails + observability. You’ll ship it and write a postmortem.

**Questions?** Contact us at https://blockrelations.com/contact/