Released November 30, 2021! Amazon SageMaker Studio Lab (now in Preview) is a free service available to anyone who wants to learn and get hands-on practice with machine learning. No AWS account or credit card required, and no complex infrastructure to set up.
In this hands-on tutorial, I walk you through how to set up a new SageMaker Studio Lab account, how to start your first project, and the basics of using a Jupyter Notebook with Python in the Lab environment.
??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 Canvas: https://youtu.be/7v1-uQ0lCuQ
• SageMaker Studio: https://youtu.be/91z9s7iboeM
00:00 – Amazon SageMaker Studio Lab just released!
00:20 – Amazon SageMaker Studio Lab vs. SageMaker Studio
00:33 – Key features of SageMaker Studio Lab
00:57 – Signing up for a SageMaker Studio Lab account
02:13 – Starting your first project in SageMaker Studio Lab
03:41 – Navigating your first Jupyter Notebook in SageMaker Studio Lab
05:50 – Cloning example notebooks in SageMaker Studio Lab
07:56 – Working with an example notebook for geospatial data analysis, and building an environment
12:06 – Stopping runtime for a project in SageMaker Studio Lab
