기여해주셔서 감사합니다! 다음의 guideline for contribution를 참고해주세요.
- 기업용 이메일 주소
- Azure 구독 (PAYG 또는 MSDN). (Trial subscriptions으로는 일부 과정이 진행이 안되거나, 진행 전에 미리 부가작업이 필요할 수 있습니다.)
- 일부 과정에는 구독의 owner 권한이 필요할 수 있습니다
- 로컬 PC나 VM (아젠다에 따라 요건이 다를 수 있습니다)
- 아젠다별로 사전 활용이 주어질 수 있습니다
(더 자세한 사항은 여기를 참고해주세요)
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Machine Learning Studio and BI
Use Azure Machine Learning Studio to develop and deploy ML models, then analyze batch scored data with Azure SQL Datawarehouse and Power BI all integrated within Web page with Azure Active Directory
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Bot Framework and Cognitive Services
Use Bot Framework to build, test, deploy, connect to channels. Start with FormFlow bot, continue with Language Understanding and Q&A Maker. Explore different aspects from Official Sample libraries.
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Deep Learning with GPU DSVM, Spark and Containers
Data pipelining, wrangling, ML/DL model training on Docker with GPU VM/cluster or Spark cluster, deploying with Container services (Kubernetes)
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Machine Learning Studio and Power BI (new)
Use Power BI to explore data and set up hypothesis, then use Azure Machine Learning Studio to develop and deploy ML models. Consume ML models in different ways
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(Deprecated) Scalable Bot and Cognitive Services
Develop a Hotel Concierge Bot: Configure for scalability, add intelligence including Natural Language Understanding, connect with Search and BI capability
- IOT End to End
- Intelligent Vending Machine
- Hybrid Storage
- Enterprise Class Networking
- High Performance Computing
- OSS
- Azure Stack
- SAP on Azure
- OSS Web Dev
- Mobile App Dev
- Media Services
- CDN
각 섹션의 시간표와 관련자료를 참고해주세요!