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Advanced Generative AI Development on AWS (GK910033)

Master the implementation of production-ready generative AI solutions on AWS. The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of
Referentienummer: GK_NLGK910033
Leverancier: Global Knowledge
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€1995,00 excl. BTW
Master the implementation of production-ready generative AI solutions on AWS. The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks. Module 1: Foundation Model Selection and ConfigurationEnterprise foundation model evaluation frameworkDynamic model selection architecture patternsResilient foundation
Master the implementation of production-ready generative AI solutions on AWS. The Advanced Generative AI Development on AWS is designed for developers seeking to master the implementation of production-ready generative AI solutions on AWS. The course addresses the needs of organizations embarking on their generative AI journey and how to build comprehensive generative AI strategies that align with broader business objectives. This advanced 3-day instructor-led training builds expertise across the entire generative AI stack - from foundation models to enterprise integration patterns. In addition, you will learn about advanced data processing techniques, vector database implementation and retrieval augmentation, sophisticated prompt engineering and governance, agentic AI systems and tool integration, AI safety and security measures, performance optimization and cost management strategies, comprehensive monitoring and observability solutions, testing and validation frameworks. Module 1: Foundation Model Selection and ConfigurationEnterprise foundation model evaluation frameworkDynamic model selection architecture patternsResilient foundation