1.4K reactions · 24 shares | Unlock the power of your data with a unified data & AI platform. ☁️ Introducing the next generation of Amazon SageMaker, a unified data & AI platform optimized for collaboration within teams to scale your analytics & AI initiatives. Pair widely adopted ML services with the most comprehensive set of analytic capabilities for enhanced, data-driven innovation. ️ https://go.aws/49iZwxc | Amazon Web Services | Facebook

AI project acceleration awaits—floor it with AWS. 🏎️⚡️☁️ With Amazon SageMaker AI, now available through the unified studio, you can build, train, & deploy models with familiar ML & FM building capabilities. Pave the way to accelerated development with fully managed infrastructure, tools, & workflows. 🖇️ https://go.aws/4gs14XW | Amazon Web Services

1.2K reactions · 38 shares | Ditch the development pit stops for uninterrupted innovation in a secure environment. ☁️ With AI apps from AWS partners, now in Amazon SageMaker, you can discover, deploy, & use popular apps from AWS partners securely within your SageMarker environment. All systems go for accelerated model building with a seamless, fully managed experience. ️ https://go.aws/3OFiMM0 | Amazon Web Services | Facebook

Sowjanya Pandruju, a Cloud Application Architect at AWS, will teach you how to develop and deploy AI agents using AWS. You’ll explore the core architecture of modern agents, walk through essential AWS services, and learn how to take your project from prototype to production. This session is ideal for AI engineers looking to operationalize their agent workflows. | DataCamp