Global Certificate in AI for Health Program Evaluation

• Introduction to AI for Health Program Evaluation: Understanding the basics of artificial intelligence (AI) and its applications in health program evaluation. • Data Acquisition and Preprocessing: Techniques for gathering, cleaning, and transforming data for AI-based health program evaluation. • Machine Learning Techniques: Overview of machine learning algorithms, including supervised and unsupervised learning, for health program evaluation. • Deep Learning and Neural Networks: Exploration of deep learning techniques and their applications for health program evaluation. • Natural Language Processing (NLP): Utilizing NLP techniques for analyzing and interpreting text data in health program evaluation. • Computer Vision in Health Program Evaluation: Leveraging computer vision techniques for analyzing images and videos in health program evaluation. • AI Ethics and Bias: Examining ethical considerations, bias, and fairness in AI-based health program evaluation. • Evaluation Metrics for AI-based Health Programs: Understanding evaluation metrics and methods for assessing the performance of AI-based health programs. • Implementing AI in Health Program Evaluation: Best practices for integrating AI into health program evaluation, including project management and change management.