49-762 Special Topics: AI Engineering Fundamentals

6 units, Carnegie Mellon University

This course provides a foundational understanding of modern AI systems, with an emphasis on how product teams build, evaluate, and deploy real-world AI capabilities. Students will learn how large language models work (transformers, embeddings, context windows), how to adapt them (RAG, fine-tuning, LoRA), and how to evaluate them. This class is built for students who want understand the concepts of AI engineering AI and the techniques used to build AI-powered products and features.

Prerequisites: none listed

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