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Generative AI for Healthcare: Transforming Medical Practice
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Generative AI for Healthcare: Transforming Medical Practice

Explore generative AI and large language models in healthcare. Learn to apply cutting-edge AI technologies to enhance patient care and medical processes.

Course Cost

₹ 2,699

Intermediate

Skill Level

3 Hours

Self-paced lessons

This course demystifies generative AI and large language models (LLMs) for healthcare professionals. It explores real-world applications of generative AI in healthcare settings and teaches the art of crafting effective prompts. The curriculum covers fundamental concepts of AI, machine learning, and deep learning, with a focus on their applications in healthcare. Students will learn about medical foundation models, multimodal LLMs, and domain-specific tools like Google Cloud's Vertex AI. The course includes hands-on labs and practical examples, making it ideal for healthcare professionals looking to integrate cutting-edge AI technologies into their practice.

What you'll learn

  • Understand the fundamental concepts of artificial intelligence, machine learning, and deep learning

  • Explain generative AI and its potential applications in healthcare

  • Describe large language models (LLMs) and their role in advancing medical practice

  • Explore medical foundation models and their significance in healthcare AI

  • Learn about multimodal LLMs and their capabilities in processing various types of medical data

  • Master the art of prompt design for specific healthcare applications

  • Gain hands-on experience with Google Cloud's Vertex AI Studio for healthcare use cases

  • Identify and evaluate potential use cases for generative AI in your healthcare organization

Skills you'll gain

Generative AI
Large Language Models
Healthcare AI
Prompt Engineering
Medical Foundation Models
Multimodal LLMs
Vertex AI

This course includes:

36 Minutes PreRecorded video

2 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 5 modules in this course

This course provides a comprehensive introduction to generative AI and its applications in healthcare. Designed for healthcare professionals, it demystifies the latest advancements in artificial intelligence, focusing on large language models (LLMs) and their potential to transform medical practice. The curriculum is structured into five modules, covering the fundamentals of AI and machine learning, the specifics of generative AI, and their applications in healthcare settings. Students will learn about medical foundation models, multimodal LLMs, and the art of designing effective prompts for healthcare purposes. The course includes hands-on labs using Google Cloud's Vertex AI Studio, giving participants practical experience with state-of-the-art AI tools. By the end of the course, learners will be equipped to leverage generative AI technologies to enhance patient care, streamline medical processes, and drive innovation in healthcare.

Course Introduction

Module 1 · 1 Minutes to complete

Introduction to Generative AI for Healthcare

Module 2 · 42 Minutes to complete

Large Language Models in Healthcare

Module 3 · 38 Minutes to complete

Course Summary

Module 4 · 1 Hours to complete

Course Resources

Module 5 · 40 Minutes to complete

Fee Structure

Payment options

Financial Aid

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Generative AI for Healthcare: Transforming Medical Practice

Intermediate

Skill Level

3 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.