Get Certified: SQL AI Developer (DP-800)

加入 Microsoft Reactor 并实时与开发人员互动

准备好开始使用 AI 和最新技术了吗？ Microsoft Reactor 提供活动、培训和社区资源，帮助开发人员、企业家和初创公司利用 AI 技术等。快加入我们吧！

Get Certified: SQL AI Developer (DP-800)

加入 Microsoft Reactor 并实时与开发人员互动

准备好开始使用 AI 和最新技术了吗？ Microsoft Reactor 提供活动、培训和社区资源，帮助开发人员、企业家和初创公司利用 AI 技术等。快加入我们吧！

形式:
直播

主题: 数据和分析

语言: 英语

此系列中的活动:
2

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.

即将举办的活动

单击下面的活动以了解详细信息并注册各个活动。

所有时间采用 - 协调世界时

5月

星期二

2026

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

3:00 下午 - 4:00 下午 (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.