Get Certified: SQL AI Developer (DP-800)

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.

Get Certified: SQL AI Developer (DP-800)

Microsoft Reactor에 가입하고 개발자와 라이브 참여

돌아가기

Get Certified: SQL AI Developer (DP-800)

서식:
Livestream

항목: 데이터 및 분석

언어: 영어

이 시리즈의 이벤트:
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This multi‑part Reactor series helps SQL developers prepare for the DP‑800 exam, Microsoft’s new certification for building AI‑enabled database solutions across SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. The series breaks the exam down into clear, practical sessions that map directly to real-world database development.

We’ll start with a guided tour of the full exam skills outline, then dig into designing and developing solid SQL solutions that match what DP‑800 expects. From there, we’ll focus on the engineering practices behind production‑ready databases, including security, performance, and deployment. The series wraps with a focused look at how modern AI concepts like embeddings, vectors, intelligent search, and RAG show up in SQL workloads and on the exam.

By the end, you’ll know what to study, how the skills fit together, and how to apply them in real projects, not just on test day.

Esta serie también está disponible en español. Aprende más aquí.
Esta série também está disponível em português. Saiba mais aqui.

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모든 시간 - 협정 세계시

5월

화요일

2026

Get Certified: SQL AI Developer DP-800 Exam Tour (US/EMEA)

3:00 오후 - 4:00 오후 (UTC)

DP-800 is the new exam for building AI-enabled database solutions across SQL Server, Azure SQL, and SQL databases in Microsoft Fabric. In this kickoff session, we’ll take a guided tour of the full skills outline so you know exactly what to expect, how the domains connect, and where to focus first. You’ll get a high-level view of each Learn module area, including advanced T‑SQL coverage, security and performance essentials, deployment practices (CI/CD), and the AI section that brings embeddings, vectors, intelligent search, and RAG into SQL solutions.