Generative AI and Large Language Models on AWS

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If you’re looking for new ways to leverage generative AI and large language models (LLMs), AWS has every service you need. In this practical, hands-on course, instructor Noah Gift demonstrates the core concepts and technical skills required to set up cloud-based Rust development environments; construct serverless workflows with AWS Lambda and Step Functions; utilize AWS CodeCatalyst, SageMaker, and Lightsail; generate, edit, and summarize text and code with models like Claude and CodeWhisperer; and orchestrate models and data workflows using Amazon Bedrock. Along the way, test out your new skills with real-world coding projects designed to help you operationalize LLMs for machine learning applications.




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Generative-AI-and-Large-Language-Models-on-AWS-1024x576.jpg


If you’re looking for new ways to leverage generative AI and large language models (LLMs), AWS has every service you need. In this practical, hands-on course, instructor Noah Gift demonstrates the core concepts and technical skills required to set up cloud-based Rust development environments; construct serverless workflows with AWS Lambda and Step Functions; utilize AWS CodeCatalyst, SageMaker, and Lightsail; generate, edit, and summarize text and code with models like Claude and CodeWhisperer; and orchestrate models and data workflows using Amazon Bedrock. Along the way, test out your new skills with real-world coding projects designed to help you operationalize LLMs for machine learning applications.




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