In this video, Emily demonstrates how to get started with Amazon SageMaker Studio, a fully managed IDE for machine learning. She showcases the platform's ability to decouple the UI from applications, allowing users to browse foundation models, explore applications, and use various tools like Jupyter Lab and VS Code. Emily navigates through SageMaker Studio Online, highlighting features such as JumpStart, which provides access to many foundation models from leading providers. She demonstrates deploying and testing inference on a Mixrtal 8x7B Instruct model, showcasing SageMaker Studio's capabilities in handling multi-GPU machines and processing inference requests. The video serves as an introduction to SageMaker Studio's powerful features for machine learning development and model deployment.