Amazon SageMaker STUDIO, Getting Started | Introduction to AWS Machine Learning

SageMaker is Amazon’s platform to build, train and deploy machine learning models quickly and at scale. And SageMaker Studio is the Integrated Development Environment (IDE) where you’ll be doing your work. In this hands-on tutorial, I’ll walk you through how to create a SageMaker Domain and launch the SageMaker Studio app through the AWS Management Console. From there, I’ll show you how to launch a SageMaker solution for handwriting recognition, and then how to open and work in a Jupyter Notebook. Finally, and IMPORTANTLY, I’ll show you how to delete all SageMaker resources. 🌟🌟If you’re interested in getting AWS certifications, check out these full courses. They include lots of hands-on demos, quizzes and full practice exams. Use FRIENDS10 for a 10% discount! - AWS Certified Cloud Practitioner: https://academy.zerotomastery.io/a/aff_n20ghyn4/external?affcode=441520_lm7gzk-d - AWS Certified Solutions Architect Associate: https://academy.zerotomastery.io/a/aff_464yrtnn/external?affcode=441520_lm7gzk-d You might also enjoy these other AWS videos: • SageMaker Studio Lab: https://youtu.be/ue7LuQtE6Pw • SageMaker Canvas: https://youtu.be/7v1-uQ0lCuQ 00:00 – Overviewing Amazon SageMaker 00:40 – Reviewing Amazon SageMaker Free Tier options and pricing 01:07 – Setting up a SageMaker Domain 02:02 – Launching Amazon SageMaker Studio 02:42 – Launching a SageMaker solution for handwriting recognition 06:04 – Opening and working in a Jupyter Notebook in a SageMaker solution 09:56 – IMPORTANT!! Deleting resources in a SageMaker solution