Agenda:
- Understand the data science and machine learning workflow on the unified Databricks Data Intelligence Platform
- Become familiar with the tools available in the Databricks environment for ML development, management, and deployment
- Applying MLOps to Generative AI
- Databricks MLOps Demo
- Q&A
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Urs Brasser is a Senior Solutions Architect at Databricks. He has a rich 12-year history in cloud technologies and big data. In his previous role at Google, he specialized in application modernization, guiding migrations to microservices-based architectures on Kubernetes and implementing SRE practices.
At Databricks, Urs is helping customers modernize their data platforms and successfully develop and deploy big data and machine learning projects on the Databricks Data Intelligence Platform.
Guanjie Shen is a Solutions Architect based in Calgary with multiple years of experience building enterprise data platforms. Currently, he is focused on helping Databricks customers in Western Canada scale out and modernize their data and AI capabilities. In his previous role at e-commerce startup, he was responsible for designing real time business intelligence products using Spark Structured Streaming, Delta Lake and Apache Kafka. Prior to that, Guanjie was the technical lead for data and machine learning platforms at a multi-national oil and gas major.