Want to learn how to build, train & deploy a machine learning (ML) model? You can with Amazon SageMaker through this 7-step tutorial. Amazon SageMaker is a modular, fully managed ML service that has enabled many developers & data scientists to turn their visions into a reality, & it can do the same for you! You can enjoy 250 hours per month of t2.medium notebook with Amazon SageMaker by signing up for a Free Tier account. https://go.aws/2YxcvHQ | Amazon Web Services

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

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