Specifically designed for healthcare professionals, this course demystifies
(13 avis)
Ce que vous apprendrez
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.
Détails à connaître
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août 2024
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Il y a 5 modules dans ce cours
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.
Inclus
1 vidéo
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.
Inclus
6 vidéos1 lecture1 devoir
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.
Inclus
4 vidéos1 lecture1 devoir
The course closes with a summary of the course learning objectives and topics covered.
Inclus
2 vidéos1 élément d'application
Student PDF links to all modules.
Inclus
4 lectures
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Cloud Computing
University of Michigan
University of Colorado Boulder
Northeastern University
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Avis des étudiants
13 avis
- 5 stars
61,53 %
- 4 stars
23,07 %
- 3 stars
0 %
- 2 stars
7,69 %
- 1 star
7,69 %
Affichage de 3 sur 13
Révisé le 4 nov. 2024
A wonderful, elaborative and easy to understand. Thank you Google.
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