In this workshop, you will look at the process of implementing a modern application with Azure services. The workshop will cover event sourcing and the Command and Query Responsibility Segregation (CQRS) pattern, data loading, data preparation, data transformation, data serving, anomaly detection, creation of a predictive maintenance model, and real-time scoring of a predictive maintenance model.

Azure services and related products:
• Azure Container Registry
• Azure Virtual Machines with Linux
• IoT Hub
• Function App
• Cosmos DB with Synapse Link
• Azure Synapse Analytics
• Azure Data Lake Storage Gen2
• Azure Machine Learning
• Azure Kubernetes Service
• Event Hubs
• Azure Stream Analytics
• Azure PostgreSQL Hyperscale
• Power BI through Azure Synapse Analytics

Further Learning : https://aka.ms/DataandAI

Speaker's Bio: Shivam Sharma, Co-founder TechScalable

Shivam is an author, cloud architect, speaker and Co-Founder at TechScalable. Being passionate about ever evolving technology he works on Azure, GCP, Machine Learning & Blockchain. He is also a Microsoft Certified Trainer. He architects’ solutions on Cloud as well on-premises using wide array of platforms/technologies.