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Generative AI for Healthcare

Generative AI for Healthcare

Instructor: Google Cloud Training

7,330 already enrolled

Included with

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5 modules

Gain insight into a topic and learn the fundamentals.

70 reviews

Intermediate level

Some related experience required

3 hours to complete

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

70 reviews

Intermediate level

Some related experience required

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

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.

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

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There are 5 modules in this course

Specifically designed for healthcare professionals, this course demystifies

Module details

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.

What's included

1 video

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.

What's included

6 videos1 reading1 assignment

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.