What you'll learn
- 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
This course details
- Skill Level : Advance Course
- Study Lecture : 8 Lectures
- Time Duration : 1 Day
- Certificate : Yes
- Training Delivery Mode : Online - Live Instructor Led training
Course Content
- 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
- Lab Session 3: Simulated Integration of ChatGPT with a Mock Banking System
- Lab Session 4 : Brainstorming and Designing New Use Cases for ChatGPT in Finance
- 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
Course Summary
- Introduction to ChaGPT and its application in healthcare.
- Hands-on training of ChaGPT for medical terminology.
- Implementation of symptom checking with ChaGPT.
- Utilizing ChaGPT for patient engagement.
- Enhancing patient interaction and care using AI.
Course Description
This course provides a comprehensive introduction to using ChaGPT for healthcare applications. Participants gain hands-on experience in training ChaGPT for medical terminology, implementing symptom checking, and leveraging ChaGPT for patient engagement, thereby enhancing patient interaction and care using AI.
Who this course is for :
- Healthcare professionals looking to integrate AI-driven chatbots for patient support and engagement.
- Medical practitioners interested in leveraging ChatGPT for improving diagnosis and treatment planning.
- Software developers aiming to develop innovative healthcare solutions using conversational AI technology.
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Instructor
- 4.5 Instructor Rating
- 1,654 Reviews
- 15 Years of Experience
- 9 Courses
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.
Deepika Sharma
Developer