Advanced AI in Healthcare Industry (Level 2)
This advanced course explores the cutting-edge applications of Artificial Intelligence (AI) and Large Language Models (LLMs) in healthcare, focusing on advanced techniques and real-world deployment. Students will learn to apply AI for complex healthcare challenges including predictive analytics, diagnostics, precision medicine, medical imaging, and healthcare operations. The course covers regulatory, ethical, and legal considerations, as well as practical labs and a capstone project focused on AI solutions in healthcare.
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Course Duration:
36 Hours
Level:
Advanced
Course Objectives
Master advanced AI/ML and LLM techniques in healthcare.
Apply AI to complex healthcare datasets (medical images, genomics, clinical records).
Build and deploy AI-driven solutions for diagnostics, treatment, and healthcare management.
Understand and navigate ethical, legal, and regulatory challenges in healthcare AI.
Design scalable AI systems for real-world healthcare problems.
Complete a capstone project demonstrating real-world AI application in healthcare.
Prerequisites
Strong background in AI/ML, deep learning, and data science.
Familiarity with healthcare data types and challenges.
Experience with Python and machine learning frameworks (TensorFlow, PyTorch).
Knowledge of healthcare systems, electronic health records (EHR), and medical imaging is beneficial.
