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Basics of Artificial Intelligence (AI)
FreeAn introductory crash course on the basics of artificial intelligence (AI) with a healthcare focus.
About this course
Who it's for
Clinicians, informaticists and aspiring AI product managers in healthcare who want a grounded understanding of what AI is and how large language models (LLMs) actually work, without the hype.
What you'll learn
- What counts as AI, and the wide ecosystem of approaches under that name
- The three epochs of AI: symbolic AI, deep learning and foundation models
- How LLMs are trained and how they generate text
- Why LLMs hallucinate, and how grounding reduces it
- The main ways to adapt an LLM to a task: prompt engineering, retrieval-augmented generation (RAG) and fine-tuning
Prerequisites
None.
Syllabus
Chapter 1 - AI
Chapter 2 — The Three Epochs of AI
Chapter 3 — Methods for Optimizing Large Language Models
Retrieval-augmented Generation
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