Generative AI with Large Language Models

Going under the hood of LLMs

This course moves past "how to prompt ChatGPT" and into how large language models are actually built: the transformer architecture that powers them, and the full lifecycle from data gathering and model selection through fine-tuning, evaluation, and deployment.

Who it's for

Best suited to learners with some technical background who want to move from being a generative AI user to someone who understands the mechanics — useful for engineers, data scientists, or anyone whose job now touches LLM-based products.

Why it's worth it: Most generative AI content stays at the surface level of clever prompts. This one is pitched at the architecture and deployment layer instead, which is exactly the gap for anyone who needs to speak credibly about how these systems work, not just use them.