Building Production-Ready AI Systems

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.

Building Production-Ready AI Systems

Microsoft Reactor에 가입하고 개발자와 라이브 참여

돌아가기

Building Production-Ready AI Systems

서식:
Livestream

항목: AI 애플리케이션

언어: 영어

이 시리즈의 이벤트:
3

Join this 3-part series, Building Production-Ready AI Systems: Security, Evaluation, Data Platforms, and Developer Productivity, designed for developers ready to take AI solutions to production.

Across the series, you’ll explore how to build secure and reliable AI systems, implement evaluation and fine-tuning strategies, and leverage modern data engineering with Microsoft Fabric to power scalable AI applications.

Perfect for anyone looking to move from experimentation to real-world, production-ready AI.

예정 이벤트

자세한 내용을 알아보고 개별 이벤트에 등록하려면 아래 이벤트를 클릭합니다.

모든 시간 - 협정 세계시

8월

수요일

2026

Modern Data Engineering for AI Applications with Microsoft Fabric

12:30 오전 - 1:30 오전 (UTC)

AI applications depend on scalable and reliable data platforms. This session explores how Microsoft Fabric enables modern data engineering workflows through lakehouse architecture, data ingestion, orchestration, Spark-based processing, analytics, and governance. Attendees will learn how to build strong data foundations to support analytics, machine learning, and generative AI workloads. Key takeaways: Modern lakehouse architecture Building scalable data pipelines Spark and Fabric integration Data engineering best practices for AI workloads

서식:
Livestream

항목: AI 애플리케이션

언어: 영어

세부 정보

9월

금요일

2026

AI-Powered Developer Productivity with GitHub Copilot and VS Code

12:30 오전 - 1:30 오전 (UTC)

AI-assisted development is transforming how engineers build and maintain software. This session showcases practical workflows using GitHub Copilot and VS Code, covering code generation, debugging, testing, documentation, and productivity techniques you can apply in your day-to-day work. Attendees will learn how to enhance their development process with AI while maintaining efficiency, quality, and responsible practices. Key takeaways: Effective prompting for software development AI-assisted debugging and testing Developer productivity workflows Responsible AI usage practices

서식:
Livestream

항목: AI 애플리케이션

언어: 영어

세부 정보

스피커

Nutan Sahoo
- Applied Scientist
Microsoft
Rachel Wagner-Kaiser, Ph.D.
- Director, Data Scientist
KPMG
Advitya Gemawat
- Machine Learning Engineer 2 – Windows
Microsoft
Debjyoti Paul
- Applied Scientist
Amazon
Kriti Faujdar
- Senior Product Manager, Microsoft Security AI Research
Microsoft

이 시리즈의 과거 이벤트

모든 시간 - 협정 세계시

7월

금요일

2026

Production-Ready AI Systems: Security, Evaluation & Data Platforms

12:30 오전 - 1:30 오전 (UTC)

Modern AI systems require more than powerful models—they require security, evaluation, governance, and continuous improvement. This session combines lessons from production AI agent security with real-world LLM evaluation and fine-tuning workflows. Topics may include prompt injection, tool abuse, memory poisoning, defense-in-depth architectures, custom evaluation frameworks, Azure OpenAI fine- tuning, and practical engineering lessons learned from deploying AI-powered systems. Key Takeaways: Understand security challenges in AI agents Learn practical defense patterns for production AI Explore LLM evaluation methodologies Understand fine-tuning workflows using Azure OpenAI Apply production engineering best practices to AI systems