Generative AI for Healthcare

Google Cloud via Coursera

Go to Course: https://www.coursera.org/learn/generative-ai-for-healthcare

Introduction

Define and explain artificial intelligence and machine learning concepts.

Describe Generative AI and applicable Healthcare use cases

Understand what Large Language Models are and how they can be used in Healthcare.

Utilize prompt design/engineering to develop effective question/answering prompts.

Syllabus

Course Introduction

This module covers the course objectives and provides an overview of the course structure, which is an introduction to generative AI (Gen AI), an introduction to large language models (LLMs) and one hands-on labs.

Introduction to Generative AI for Healthcare

This module introduces generative AI, the most recent advancement in AI, and large language models (LLMs), the technology that powers it. It defines artificial intelligence, machine learning, supervised learning, unsupervised learning, and generative AI. It also explores different generative AI development tools on Google Cloud, such as Vertex AI Agent Builder, Vertex AI Studio, and Model Garden. Health domain use cases and data examples are used to demonstrate how Gen AI can be used for healthcare.

Large Language Models in Healthcare

This module describes how generative AI and large language models can be used for healthcare. It also describes medical foundation models, explains multimodal LLMs, and explores prompt design for specific healthcare examples.

Course Summary

The course closes with a summary of the course learning objectives and topics covered.

Course Resources

Student PDF links to all modules.

Overview

Specifically designed for healthcare professionals, this course demystifies generative AI, the latest breakthrough in artificial intelligence, and the large language models (LLMs) that drive it. Discover real-world applications of generative AI in healthcare settings and master the art of crafting effective prompts tailored to your goals.

Skills

Reviews

A wonderful, elaborative and easy to understand. Thank you Google.