Azure Live Demo and Q&A
March 5, 2020
Package management with Azure Artifacts
March 5, 2020
 
Thursday, March 05, 2020 | 8:30 AM – 3:00 PM
Microsoft Irvine
3 Park Plaza, Suite 1600, Irvine, California, 92614
Artificial Intelligence (AI) is driving innovative solutions across all industries but with Machine Learning (ML) applying a paradigm change to how we approach building products we are all exploring how to expand our skillsets. Tailwind Traders is a retail company looking for support on how to benefit from applying AI across their business. In ‘Developers Guide to AI’ we’ll show how Tailwind Traders has achieved this. There is something for every stage of the AI learning curve; whether you want to consume ML technologies, increase technical knowledge of ML theory, or build your own custom ML models. The model is not the end of the data science story, we conclude with applying DevOps practices to ML projects to build an end-to-end pipeline.
• Learn how to modernize data management – Manage and enhance your data with data sciences that increase efficiency and learning
• Learn how to be future-ready – Continuous innovation from Microsoft supports your product needs today and future product development
• Learn how to apply DevOps practices to Machine Learning projects to build an end-to-end pipeline
• Learn how to deploy machine learning models to production allowing it to be consumed by simple web services
Please note: Workshop content presumes a 300-level of architectural expertise of infrastructure and solutions design in this domain (even if on another platform). We suggest attendees take the Microsoft Azure Fundamentals course as a prerequisite if unfamiliar with Azure.
Please plan to bring a laptop with you for the hands-on lab.
Agenda
| 08:30 AM – 09:00 AM: | Registration |
| 09:00 AM – 09:15 AM: | Welcome and Introduction |
| 09:15 AM – 10:00 AM: | Making Sense of your Unstructured Data with AI |
| 10:00 AM – 10:45 AM: | Using Pre-Built AI to Solve Business Challenges |
| 10:45 AM – 11:30 PM: | Start Building Machine Learning Models Faster than You Think |
| 11:30 PM – 12:30 PM: | Lunch |
| 12:30 PM – 01:15 PM: | Taking Models to the Next Level with Azure Machine Learning Best Practices |
| 01:15 PM – 02:00 PM: | Machine Learning Operations – Applying DevOps to Data Science |
| 02:00 PM – 02:15 PM: | Break |
| 02:15 PM – 03:00 PM: | Workshop – Accelerating Natural Language Processing Development with Azure Machine Learning |
Who should attend:
Architects and Developers, Data Scientist, Data Platform specialist or other Data role
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