AWS Workshop
  • About
  • Immersion Day
    • 2025.05 - Generative AI
    • 2025.03 - Generative AI
    • 2025.02 - ECS
    • 2024.09 - EKS
    • 2024.07 - Security
    • 2024.05 - ECS
    • 2024.01 - Generative AI
    • 2023.10 - Security
    • 2023.08 - MSK
    • 2023.06 - DevOps
    • 2023.04 - AI/ML
    • 2023.02 - EKS
    • 2023.01 - General
    • 2022.12 - 광주소프트웨어마이스터고등학교
    • 2022.12 - Data Analytics
      • Getting started
        • Create a Kinesis Data Stream
      • Produce data to Kinesis Data Streams
        • Cofigure AWS Cloud 9 IDE
        • Using the Amazon SDK with Kinesis
          • Working with the SDK
        • Using the Kinesis Producer Library
          • A Simple Producer
          • Error Analysis and Resiliency
          • CloudWatch Metrics from the Kinesis Producer Library
      • Lambda with Kinesis Data Firehose
        • Overview
        • Create Glue Table
        • Create Kinesis Data Firehose Delivery Stream
        • Stream the data and validate output
      • Clean, Aggregate, and Enrich Events with Kinesis Data Analytics
        • Setup Kinesis Data Analytics Studio
        • Stream the data and validate output
    • 2022.11 - General
    • 2022.10 - EKS
    • 2022.09 - General
    • 2022.08 - 큐피스트
    • 2022.08 - Security
    • 2022.07 - General
    • 2022.06 - Serverless
    • 2022.05 - EKS
    • 2022.05 - 백패커
    • 2022.05 - General
    • 2022.04 - DevOps
    • 2022.04 - Data Analytics
      • Getting started
        • Create a Kinesis Data Stream
      • Produce data to Kinesis Data Streams
        • Cofigure AWS Cloud 9 IDE
        • Using the Amazon SDK with Kinesis
          • Working with the SDK
        • Using the Kinesis Producer Library
          • A Simple Producer
          • Error Analysis and Resiliency
          • CloudWatch Metrics from the Kinesis Producer Library
      • Lambda with Kinesis Data Firehose
        • Overview
        • Create Glue Table
        • Create Kinesis Data Firehose Delivery Stream
        • Stream the data and validate output
      • Clean, Aggregate, and Enrich Events with Kinesis Data Analytics
        • Setup Kinesis Data Analytics Studio
        • Stream the data and validate output
    • 2022.03 - General
    • 2022.02 - AI/ML
    • 2022.01 - General
    • 2021.12 - Container
    • 2021.11 - General
    • 2021.10 - General
  • Seminar
    • 2024.07 - 동국대 특강
    • 2024.06 - Generative AI
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  • 교육 목표
  • Agenda
  • 교육 자료

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  1. Immersion Day

2022.02 - AI/ML

Previous2022.03 - GeneralNext2022.01 - General

Last updated 3 years ago

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교육 목표

  • 인공지능과 머신러닝에 대한 이해

  • Amazon SageMaker 실습

  • AWS 관리형 머신러닝 서비스 소개 및 실습

Agenda

시간
내용

13:30 - 14:00

교육 소개 및 실습환경 구성

14:00 - 14:30

실생활에 적용된 인공지능 사례

14:30 - 15:30

Amazon SageMaker로 상품 추천 시스템 구성

15:30 - 16:30

Amazon Lex로 Chatbot 만들기

16:30 - 17:00

Wrap-up 및 Q&A

교육 자료

  • 실습 자료 -

https://github.com/youngwjung/ml-labs