AI ENGINEERING

AI Engineering for DevOps

Ship LLM features that survive contact with production infrastructure. Prompt, context, and caching strategies, MCP servers, evaluation harnesses, autonomous agents — the loop a senior infra engineer runs without hand-waving.

Duration8h

Lessons21

Levelintermediate

Instructor · Fabio Palumbo — Founder · 15y infra

FREE PREVIEW

Sample lesson

What's here

A short, opinionated course on AI Engineering for DevOps. Each lesson runs 5–15 minutes. The free preview is unlocked above.

How to learn

Watch the preview video to gauge the pace.
Open the lesson list — start with lesson 1 unless you already know it.
Ask the AI mentor (right panel on desktop, "Ask mentor" button on mobile) any question scoped to this module — it answers from the curriculum, not the open web.
Click Enroll at the bottom to track progress. Earns XP on each lesson completed.

Pair with hands-on labs

Course modules map to lab packs. After watching, head to DevOps Labs to build the same systems.

CURRICULUM

21 lessons

01What an AI engineer actually does (in a DevOps team)Free12:00
02Picking a model: speed vs quality vs cost18:00
03Prompt engineering: structure that survives a year22:00
04System prompts vs user prompts vs few-shot19:00

dioscuro.

AI Engineering for DevOps

Sample lesson

21 lessons