Specifically designed for healthcare professionals, this course demystifies
Generative AI for Healthcare
Gain insight into a topic and learn the fundamentals.
4.0
(14 reviews)
Intermediate level
Some related experience required
3 hours to complete
3 weeks at 1 hour a week
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.
Details to know
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Assessments
2 assignments
Taught in English
Recently updated!
August 2024
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There are 5 modules in this course
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.
What's included
4 videos1 reading1 assignment
The course closes with a summary of the course learning objectives and topics covered.
What's included
2 videos1 app item
Student PDF links to all modules.
What's included
4 readings
Instructor
Instructor ratings
4.2 (6 ratings)
Offered by
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4.0
14 reviews
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Showing 3 of 14
MM
5
Reviewed on Nov 4, 2024
A wonderful, elaborative and easy to understand. Thank you Google.
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