Certificate of Achievement
has completed the following course:
Artificial Intelligence for Healthcare
Learners explored the foundational concepts including AI history, types and machine learning techniques, while diving into applications like Natural Language Processing (NLP), Computer Vision, Robotics, and Generative AI. Additionally, they developed practical skills in evaluating AI tools for diagnostics, personalised treatments, and clinical decision-making. Ethical considerations, including bias and data privacy, were integrated into the curriculum to ensure responsible AI use in healthcare.
8 weeks, 2 hours per week
Prof. Dr. Hasniza Zaman Huri
Deputy Vice-Chancellor (Academic & International)
Universiti Malaya
Prof. Dr. Ong Teng Aik
Professor, Faculty of Medicine
Universiti Malaya
Transcript
Learning outcomes
- Explain the fundamental concepts and significance of Artificial Intelligence (AI) in healthcare, including its potential impact on patient care and system efficiency.
- Articulate basic AI techniques, including machine learning and deep learning, to analyse healthcare data and address challenges in diagnostics, treatment, and public health.
- Evaluate ethical considerations and data privacy challenges in deploying AI solutions in healthcare, including patient confidentiality, bias, and regulatory compliance.
Syllabus
Learners gained a foundation in the application of Artificial Intelligence (AI) in healthcare, enabling them to create data-driven approaches for AI solutions, evaluate AI tools in diagnostics and treatment, develop critical thinking on AI ethics, privacy, and patient care, and apply machine learning techniques to solve real-world healthcare problems.
Issued on 5th May 2026
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This certificate represents proof of learning. It is not a formal qualification, degree, or part of a degree.