Thanks for your contribution! Please review the guideline for contribution to this repository.
- Corporate email address
- Azure Subscription which is PAYG or MSDN. (Trial subscriptions may not work for some part, or will require additional set up beforehand.)
- Must be an owner of the Azure subscription in some agenda
- Local machine or VM (specific requirements differ per agenda)
- Other pre-workshop activities are provided per agenda
(Click here for details)
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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
Check out the Block Schedules and Resources in each section!