Thomas Piacentini
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17 · Infrastructure & Production

Infrastructure & Production

Original text · English

Ship AI to the real world. Scale, monitor, optimize.

Start this phase on GitHub

Prerequisites: Phase 11 LLM Engineering and Phase 13 Tools and Protocols.

First lesson: Managed LLM Platforms

Run this command from the repository root:

bash
python3 phases/17-infrastructure-and-production/01-managed-llm-platforms/code/main.py

Keep the command, exit code, cost and latency comparison, redundancy uplift, and a short decision record naming the workload assumptions behind your choice.

Next action: Change one workload or SLA input, explain the new choice, then continue to Inference Platform Economics.

Browse the full Phase 17 lesson list or the cross-phase roadmap.

Continue step by step.

Code and artifacts 1
What you take away

Saved in your notebook on this device.

Sources and limits

Reading checkpoints are self-reported. Test results are recorded separately and apply to the executed cases.

AI Engineering from Scratch · 3f9715c · MIT

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