Course guide

LLM engineering learning path

Courses to compare when you want to move from fundamentals into LLM engineering.

Our short answer

The Hugging Face LLM Course is the free, code-first core of this path. Generative AI with LLMs adds the Coursera polish and a certificate; Full Stack Deep Learning is the pick when you specifically need the production side — deployment, monitoring, iteration.

Use the full reviews below to compare fit, workload, and current course details before you choose.

Large Language Models

Hugging Face LLM Course

Hugging Face

4.4 / 5

Best for: Developers who want to systematically master the Transformers ecosystem — Hub, Datasets, Tokenizers, fine-tuning

Free, no ads — some exercises may incur external compute costs Read review →

Large Language Models

Generative AI with Large Language Models (DeepLearning.AI + AWS)

DeepLearning.AI

4.3 / 5

Best for: Developers and data scientists who want a structured, cost-aware mental model of the full LLM lifecycle

Coursera subscription around $49/month per the DeepLearning.AI FAQ (August 2026); free audit of videos; check current pricing Read review →

Large Language Models

Full Stack Deep Learning / LLM Bootcamp (The Full Stack)

The Full Stack

4.2 / 5

Best for: Software engineers and ML practitioners who want to build and ship LLM-powered products end-to-end

Free — recorded lectures and slides, no paid tier Read review →

Find a course that fits you

Reviews on this page verified 2026-08-22; each links its own dated sources.