Amazon SageMaker JumpStart helps you quickly and easily get started with machine learning. To make it easier to get started, SageMaker JumpStart provides a set of solutions for the most common use cases that can be deployed readily with just a few clicks and supports one-click deployment and fine-tuning of popular open source models. In this virtual workshop, you'll learn how you can use SageMaker JumpStart to easily get started with ML. Learning Objectives: * Objective 1: Learn about pre-built machine learning (ML) solutions that you can deploy with just a few clicks. * Objective 2: Learn about how SageMaker JumpStart supports one-click deployment and fine-tuning of popular open source models such as natural language processing, object detection, and image classification models. * Objective 3: Learn how you can use SageMaker JumpStart to accelerate your ML journey. ***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/train/ Subscribe to AWS Online Tech Talks On AWS: https://www.youtube.com/@AWSOnlineTechTalks?sub_confirmation=1 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch: https://twitch.tv/aws Twitter: https://twitter.com/awsdevelopers Facebook: https://facebook.com/amazonwebservices Instagram: https://instagram.com/amazonwebservices ☁️ AWS Online Tech Talks cover a wide range of topics and expertise levels through technical deep dives, demos, customer examples, and live Q&A with AWS experts. Builders can choose from bite-sized 15-minute sessions, insightful fireside chats, immersive virtual workshops, interactive office hours, or watch on-demand tech talks at your own pace. Join us to fuel your learning journey with AWS. #AWS