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SQL + AI Datathon: Building Intelligent Apps with SQL

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

SQL + AI Datathon: Building Intelligent Apps with SQL

Microsoft Reactor에 가입하고 개발자와 라이브 참여

AI 및 최신 기술을 시작할 준비가 되셨나요? Microsoft Reactor는 개발자, 기업가 및 신생 기업이 AI 기술 등을 기반으로 구축하는 데 도움이 되는 이벤트, 교육 및 커뮤니티 리소스를 제공합니다. 참여하세요.

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SQL + AI Datathon: Building Intelligent Apps with SQL

  • 서식:
  • alt##LivestreamLivestream

항목: AI 애플리케이션

언어: 영어

  • 이 시리즈의 이벤트:
  • 2

This livestream series is designed to help developers build real AI‑powered applications using SQL as the foundation in the SQL + AI Datathon. We'll walk through each of the Datathon's missions that take you from generating embeddings and implementing semantic search, to building retrieval‑augmented generation (RAG) workflows, building agents, and delivering a complete full‑stack application.

스피커

이 시리즈의 과거 이벤트

모든 시간 - 협정 세계시

2월

12

목요일

2026

Getting Started with SQL + AI

7:00 오후 - 8:15 오후 (UTC)

Welcome to the SQL + AI Datathon! In this session, you’ll learn more about the datathon and walk through everything you need to get started building intelligent applications powered by SQL. We’ll cover environment setup, explore the MSSQL extension to improve your developer experience, and work through the first datathon mission, laying the foundation for building modern AI workloads with SQL. 📖 Explore the Learn Module! Build AI-powered solutions using SQL Server 2025

  • 서식:
  • alt##LivestreamLivestream

항목: AI 애플리케이션

언어: 영어

주문형 보기

2월

19

목요일

2026

Building RAG‑Powered Intelligent Apps with SQL

7:00 오후 - 8:15 오후 (UTC)

Welcome to the SQL + AI Datathon! In this session, we prepare you to complete the final Datathon missions. We bring everything together starting from notebooks to a working application. You’ll orchestrate SQL + AI workflows using notebooks and agent-style patterns, then turn those workflows into a full-stack application with SQL Server 2025. We’ll cover how to treat SQL queries as retrieval tools, wire them into RAG-based workflows, and expose SQL data through APIs using Data API Builder (DAB). By the end, you’ll understand how embeddings, RAG, and SQL-powered APIs fit together to support a small-scope open hack. Learn more about the Datathon here Dig into the repo 📖 Explore the Learn Module! Build AI-powered solutions using SQL Server 2025

  • 서식:
  • alt##LivestreamLivestream

항목: AI 애플리케이션

언어: 영어

주문형 보기

이 시리즈의 과거 이벤트

모든 시간 - 협정 세계시

2월

12

목요일

2026

Getting Started with SQL + AI

7:00 오후 - 8:15 오후 (UTC)

Welcome to the SQL + AI Datathon! In this session, you’ll learn more about the datathon and walk through everything you need to get started building intelligent applications powered by SQL. We’ll cover environment setup, explore the MSSQL extension to improve your developer experience, and work through the first datathon mission, laying the foundation for building modern AI workloads with SQL. 📖 Explore the Learn Module! Build AI-powered solutions using SQL Server 2025

  • 서식:
  • alt##LivestreamLivestream

항목: AI 애플리케이션

언어: 영어

주문형 보기

2월

19

목요일

2026

Building RAG‑Powered Intelligent Apps with SQL

7:00 오후 - 8:15 오후 (UTC)

Welcome to the SQL + AI Datathon! In this session, we prepare you to complete the final Datathon missions. We bring everything together starting from notebooks to a working application. You’ll orchestrate SQL + AI workflows using notebooks and agent-style patterns, then turn those workflows into a full-stack application with SQL Server 2025. We’ll cover how to treat SQL queries as retrieval tools, wire them into RAG-based workflows, and expose SQL data through APIs using Data API Builder (DAB). By the end, you’ll understand how embeddings, RAG, and SQL-powered APIs fit together to support a small-scope open hack. Learn more about the Datathon here Dig into the repo 📖 Explore the Learn Module! Build AI-powered solutions using SQL Server 2025

  • 서식:
  • alt##LivestreamLivestream

항목: AI 애플리케이션

언어: 영어

주문형 보기

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