Secure Generative AI with Amazon Bedrock

Secure Generative AI with Amazon Bedrock

with Dipali Kulshrestha
Electronic Video - 2024

Explore ways that Amazon Bedrock can simplify generative AI development, including architectures, data flows, and security-related aspects of model fine-tuning.

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Détails bibliographiques
Collectivité auteur: linkedin.com (Firm)
Autres auteurs: Kulshrestha, Dipali (Intervenant)
Format: Électronique Vidéo
Langue:English
Publié: Carpenteria, CA linkedin.com, 2024.
Sujets:
Accès en ligne:View course details on linkedin.com/learning

MARC

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520 |a Explore ways that Amazon Bedrock can simplify generative AI development, including architectures, data flows, and security-related aspects of model fine-tuning. 
511 1 |a Presenter: Dipali Kulshrestha 
520 |a While the promise of generative AI is boundless, it comes hand-in-hand with unique security considerations. In this course, AWS-certified software programmer and DevOps advocate Dipali Kulshrestha explores generative AI as a tool to revolutionize customer experiences, innovate uncharted applications, and elevate organizational productivity, while also discussing the corresponding security considerations. Learn about Amazon Bedrock and the very convenient way it provides to simplify generative AI development, with foundation models from Amazon and leading AI startups. Explore the architectures, data flows, and security-related aspects of model fine-tuning, as well as the prompting and inference phases. Plus, find out how Amazon Bedrock uses AWS security services and capabilities, such as AWS KMS, AWS CloudTrail, and AWS Identity and Access Management (IAM). 
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