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No-code Machine Learning and Generative AI on AWS (Includes Labs) (Korean)
Amazon Web Services and Amazon via AWS Skill Builder
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Overview
Amazon Sage Maker Canvas ML , (ML) . ML ML . 4 . Amazon , , (RAG) AI . ML . : : 10. 5: Google Chrome( 2), Microsoft Edge( 2), Safari( 2) . , . . (ML) . ML . ML . ML . . Amazon Sage Maker Canvas . . . Auto ML Sage Maker Canvas . Sage Maker Canvas . . . Sage Maker Canvas (FM) (UI) , . RAG . Amazon Sage Maker Canvas . ....
Syllabus
Content
Module 1 - Introduction to Machine Learning
Module 2 - Data Analysis and Preparation
Lab - Amazon SageMaker Data Wrangler (Tabular Dataset Use Case)
Lab - Amazon SageMaker Data Wrangler (Time-Series Dataset Use Case)
Module 3 - Model Building Using SageMaker Canvas
Lab - Build a Custom Model Using Amazon SageMaker Canvas
Lab - No-code ML Capstone Lab
Module 4 – Generative AI using SageMaker Canvas
Module 5 - Best Practices for SageMaker Canvas
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Additional resources
Domain
Machine Learning
Course Level
Intermediate
Roles
Roles
Version
01.00.00
Technologies
Gen AI, AI/ML
Training Category
Digital Course with Lab
Amazon Web Services and Amazon via AWS Skill Builder
10 hours 30 minutes
Certificate Available
Korean
On-Demand
Instructor
Skillbuilder
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