This course offers a comprehensive overview of security concerns specific to generative artificial intelligence (AI), including both deep learning models like GPT (Generative Pre-trained Transformer) and DALL-E, and their applications. With a blend of theoretical knowledge and practical exercises, participants will learn about the vulnerabilities, ethical considerations, and mitigation strategies essential for deploying secure and responsible AI systems. The curriculum is designed to equip engineers and managers with the skills needed to identify potential security threats, implement robust security measures, and oversee the development of generative AI technologies with a strong emphasis on security and ethical integrity.
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The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):
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