Johns Hopkins University 3 credits Artificial Intelligence
This course is designed for leaders tasked with spearheading artificial intelligence (AI) efforts within their organizations. As AI technologies such as machine learning, deep learning, symbolic AI and generative AI reshape the landscape of industry and governance, understanding how to effectively integrate these tools into business strategies becomes paramount. This course offers an in-depth exploration of the critical components of AI, including data acquisition and analysis, algorithm development, the deployment of resources, labor considerations and the management of at-scale AI projects. Participants will gain a robust understanding of the foundational and advanced concepts of AI, including the workings of machine learning models, the revolutionary capabilities of transformers and large language models (LLMs), the innovative potential of generative AI, and risk mitigation with symbolic AI. The curriculum emphasizes not only the technical aspects but also the management and ethical considerations, such as bias mitigation and the development of responsible AI frameworks, ensuring leaders can make informed, ethical decisions in deploying AI technologies.
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