- +91 90080 05404
- hello@thecloudenabled.com
- India, Singapore
Anil Bidari
Chief Consultant
Anil Bidari is a versatile trainer and consultant specializing in GitLab, AWS, Azure, Google, DevOps, Jenkins, Kubernetes, Ansible, Docker, Agile, and Machine Learning. His expertise drives successful technology adoption and implementation, benefiting organizations and individuals alike.
- Time Duration : ----------
- Study Lecture : 8 Lectures
- Skill Level : Advance Course
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
OVERVIEW : ChatGPT for Healthcare
COURSE DESCRIPTION
COURSE SUMMARY
COURSE OBJECTIVE
COURSE DESCRIPTION
This course provides a comprehensive introduction to using ChatGPT for healthcare applications. Participants gain hands-on experience in training ChatGPT for medical terminology, implementing symptom checking, and leveraging ChatGPT for patient engagement, thereby enhancing patient interaction and care using AI.
COURSE SUMMARY
- Introduction to ChatGPT and its application in healthcare.
- Hands-on training of ChatGPT for medical terminology.
- Implementation of symptom checking with ChatGPT.
- Utilizing ChatGPT for patient engagement.
- Enhancing patient interaction and care using AI.
COURSE OBJECTIVE
- Equip participants with a solid understanding of AI, chatbots, and ChatGPT’s role in Healthcare
- Enable attendees to set up, customize, and integrate ChatGPT into Healthcare through practical lab sessions.
- Develop the ability to evaluate and continuously improve ChatGPT’s performance.
- Encourage ideation for new ChatGPT applications in the Healthcare
- Foster open discussion on future trends, opportunities, and challenges in AI
Course Outline
- Brief Introduction to AI and Machine Learning.
- Importance of AI in the Healthcare industry.
- Background and evolution of AI Language Models.
- Understanding GPT-4 and the evolution to ChatGPT.
- Importance and applications of Natural Language Processing in Healthcare.
- Equip participants with a solid understanding of AI, chatbots, and ChatGPT's role in Healthcare
- Enable attendees to set up, customize, and integrate ChatGPT into Healtchare through practical lab sessions.
- Develop the ability to evaluate and continuously improve ChatGPT's performance.
- Encourage ideation for new ChatGPT applications in the Helathcare
- Foster open discussion on future trends, opportunities, and challenges in Healthcare
- ChatGPT in Healthcare (Social Media, Websites, Apps)
- Customer Service in Helathcare (FAQs, Information Dissemination)
- Education and E-Learning for Healthcare Services
- Real world examples and case studies
- Brief on the importance of prompt engineering in Healthcare
- How well-designed prompts can optimize AI responses.
- Explanation of what prompts are.
- Examples of poorly constructed vs. well-constructed prompts.
- Creating Basic Prompts
- Hands on on by students Prompt engineering : Medical blogs, medical video scripts , create and publish medical videos
- Group sharing and feedback session on created prompts.
- Creating Advanced Prompts
- Trainer will work on training ChatGPT to understand and generate text based on medical terminologies.
- This session will allow participants to familiarize themselves with the model and understand how it can be fine-tuned to specific needs.
- Trainer will work on building a basic symptom checking system using ChatGPT.
- This hands-on exercise will explore the potential of ChatGPT in clinical decision support systems.
- Discussion: Challenges and Opportunities with ChatGPT in Finance
- Addressing Potential Concerns and Questions
- Future Perspectives: ChatGPT and AI in the Finance Sector
Wrap Up and Feedback Session
Let's Enroll Our Course !!
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