Applied AI in Eldercare
This course explores how advanced AI technologies, including Large Language Models (LLMs), are transforming eldercare. Participants will learn to design and implement AI-driven solutions for health monitoring, fall prevention, personalized care plans, social interaction, and cognitive support. Ethical considerations, privacy, and future trends will also be examined, with a focus on practical applications and innovation.
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Course Duration:
30 hours
Level:
Intermediate
Course Objectives
Understand the potential of AI and LLMs in addressing eldercare challenges.
Design personalized and predictive care plans using AI and LLMs.
Explore AI tools for health monitoring, fall detection, and cognitive support.
Develop conversational AI solutions for enhancing social engagement and communication.
Address ethical, legal, and implementation challenges in AI-enabled eldercare.
Prerequisites
Basic understanding of AI and machine learning concepts.
Familiarity with programming (e.g., Python) and working knowledge of LLM frameworks.
Background in healthcare, gerontology, or related fields is recommended but not mandatory.
