Generative AI with Large Language Models

From LLM theory to deployment

This course goes noticeably deeper than a general AI-literacy primer — it's pitched at an intermediate level and walks through how large language models are actually built, fine-tuned and shipped, not just how to prompt one.

Technical ground covered

• Generative model architectures behind modern LLMs
• Fine-tuning techniques and reinforcement learning for alignment
• Model training, evaluation and optimization in Python
• Deployment and scalability considerations for production use

It's a better fit for developers or ML practitioners who already understand machine learning basics and want to specialize in LLMs specifically, rather than newcomers to AI. With over 441,000 learners enrolled, it's become a common next step after an introductory generative AI or machine learning course.