Skills Marketplace

Engineering4 month path

LLM Engineer

$150k – $250k

LLM Engineers go deeper than API integration — they understand model internals, run fine-tuning experiments, and optimize inference at scale.

2 skills·1 learning path·2 certifications·3 projects

Overview

LLM Engineers work at the intersection of deep learning research and systems engineering. This path will take you through transformer architecture fundamentals, supervised fine-tuning, RLHF, quantization techniques (GPTQ, AWQ, GGUF), efficient inference serving, and production monitoring for model quality drift.

Prerequisites

✓Python (advanced)

✓PyTorch basics

✓Linux/command line

✓Mathematics (linear algebra, probability)

Skills you'll develop

LLM EngineerAdvanced

Fine-tune and deploy large language models

16 weeks · 3,200 XP

AI EngineerIntermediate

Build production AI systems end-to-end

12 weeks · 2,400 XP

Learning paths

Track 01

llm foundations

Capstone projects

Project 01

Fine-tune a domain-specific model

Project 02

Build an inference server with batching

Project 03

Implement RLHF reward model