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Genre: eLearning
Overview
In this 6-hour course, you will explore the intersection of AI and healthcare, learning to develop AI solutions for real-world medical challenges. Gain hands-on experience with projects involving disease detection, patient management, and medical imaging applications in healthcare.
Develop AI-driven personal health assistant applications
Build mental health support chatbots for patient interaction
Train models for disease prediction like heart disease and diabetes
Use AI to analyze medical imagery for pneumonia and skin cancer
Implement cutting-edge AI techniques for brain tumor detection
Ritesh Kanjee, an expert in embedded electronics, FPGA design, and machine learning, has published two IEEE papers and works in defense research. He holds a Master’s in Electronic Engineering and specializes in augmented reality, image processing, and AI technologies.
Who is it for?This course is designed for healthcare professionals, data scientists, and AI enthusiasts interested in applying AI in healthcare. A basic understanding of Python and machine learning is recommended, though foundational concepts are covered for success.

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