Explainable AI (XAI)

About this Specialization

In an era where Artificial Intelligence (AI) is rapidly transforming high-risk domains like healthcare, finance, and criminal justice, the ability to develop AI systems that are not only accurate but also transparent and trustworthy is critical. The Explainable AI (XAI) Specialization is designed to empower AI professionals, data scientists, machine learning engineers, and product managers with the knowledge and skills needed to create AI solutions that meet the highest standards of ethical and responsible AI.\\n\\nTaught by Dr. Brinnae Bent, an expert in bridging the gap between research and industry in machine learning, this course series leverages her extensive experience leading projects and developing impactful algorithms for some of the largest companies in the world. Dr. Bent\'s work, ranging from helping people walk to noninvasively monitoring glucose, underscores the meaningful applications of AI in real-world scenarios.\\n\\nThroughout this series, learners will explore key topics including Explainable AI (XAI) concepts, interpretable machine learning, and advanced explainability techniques for large language models (LLMs) and generative computer vision models. Hands-on programming labs, using Python to implement local and global explainability techniques, and case studies offer practical learning. This series is ideal for professionals with a basic to intermediate understanding of machine learning concepts like supervised learning and neural networks.

Created by: Duke University


Related Online Courses

In this course, you will develop your English conversational skills that you can use to build your personal and professional relationships. Learning activities in this course will take place on... more
This Specialization is intended for engineers, particularly chemical engineers, but applicable to anyone seeking to develop process safety experience involving process operations. Through four... more
Recent events have once again put a spotlight on 400+ years of racism that has deeply entrenched our everyday structures, notably healthcare delivery. There is a significant need to provide a deep... more
This course provides a comprehensive introduction to political citizenship from both a theoretical and empirical perspective, with a particular emphasis on its participatory dimension. Participants... more
This course provides a comprehensive introduction to data analysis, focusing on the understanding and interpretation of data sets. Students will learn to describe data sets, characterize variables,... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL