
Advanced AI in Eldercare
This course explores cutting-edge AI technologies, with a focus on integrating Large Language Models (LLMs) into eldercare. Participants will learn how to design personalized care plans, develop AI-driven communication tools, and enhance smart living environments for seniors. The course also covers robotics, predictive analytics, cognitive and emotional support technologies, and ethical considerations for deploying AI in eldercare.
Add a Title
Add paragraph text. Click “Edit Text” to update the font, size and more. To change and reuse text themes, go to Site Styles.
Course Duration:
36 hours
Level:
Advanced

Course Objectives
Understand the role of AI and LLMs in eldercare applications.
Design advanced eldercare solutions using LLMs for communication, personalization, and cognitive support.
Explore the integration of LLMs with robotics, IoT, and predictive analytics.
Address ethical and legal challenges in implementing AI-powered eldercare solutions.
Investigate emerging trends in AI and LLMs for aging populations.
Prerequisites
Strong foundational knowledge of AI and machine learning.
Familiarity with natural language processing (NLP) and LLMs.
Basic understanding of healthcare systems and gerontology (recommended).
Programming experience in Python or similar languages.
