Amazon SageMaker has changed, and if you’re feeling a little confused by it all, then this video is for you!
In this short explainer, I’ll break down the latest updates to Amazon SageMaker, including the name change of SageMaker to SageMaker AI, the introduction of SageMaker Unified Studio and how it now incorporates machine learning, data & analytics, and generative AI (Bedrock). We’ll also cover the Data and AI Governance layer, as well as Lakehouse.
If you want to play around with the latest version, be sure to check out the pricing page for SageMaker: https://aws.amazon.com/sagemaker/pricing/
?***OTHER VIDEOS YOU MIGHT ENJOY***?
• Getting started with Amazon Bedrock: https://youtu.be/32D7NJK9QIk
• Build your own chatbot (using RAG) with Amazon Bedrock and Lex: https://youtu.be/4esqnMlMo8I
?***MY AWS COURSES***?
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- 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
?***TIMESTAMPS***?
00:00 – I’m so confused! What’s changed with Amazon SageMaker
00:43 – The original Amazon SageMaker service for machine learning
00:57 – A quick look at Amazon SageMaker Studio Classic, with Data Wrangler, Feature Store, etc.
01:12 – What are SageMaker Canvas and SageMaker Studio Lab used for?
01:29 – The Data & Analytics pillar in AWS
01:59 – Generative AI and Amazon Bedrock playgrounds
02:14 – Amazon Bedrock Studio in the AWS Console
02:36 – The new Amazon SageMaker, an umbrella service for ML, data & analytics and generative AI
02:48 – SageMaker vs. SageMaker AI explained
03:05 – What is SageMaker Unified Studio?
04:07 - Data and AI Governance with SageMaker Catalog and DataZone
04:46 – How to create a SageMaker Unified Domain and open SageMaker Unified Studio
05:41 - What is Lakehouse with Amazon SageMaker?
06:14 - IMPORTANT!! Review pricing for Amazon SageMaker and related services