In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

This lab provides a comprehensive overview of building, deploying, and securing AI agents. We will start by creating a single agent with Azure Functions and Foundry Agent Service in Microsoft Foundry, then enhance it with Model Context Protocol (MCP) and add data grounding with Azure Cosmos DB. You will also combine the single agents to form a multi-agent system. You will then deploy, manage and secure the application on a Flex Consumption plan.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Build a multi-agent application leveraging MCP (Model Context Protocol) with the Microsoft Agent Framework in C# or LangGraph in Python, integrated with Azure Cosmos DB for scalable and high-performance data persistence and retrieval. Define agents, functions, and external service integrations, implement memory, state management, and semantic search using Azure Cosmos DB. By the end, you’ll have a robust AI agent system designed for real-world applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

When building enterprise-grade apps, your database must deliver massive scale and rapid, relevant search. Azure Cosmos DB provides reliable data storage, vector search, and full-text indexing. Explore new capabilities designed to simplify development and enhance AI and search performance. Learn from Azure Cosmos DB engineering team and Veeam on how to optimize any-scale scenarios for efficient and fast search.

Confidently adopt AI and manage your AI apps, agents, and platforms. From assistive copilots to autonomous digital workers, gain visibility and control to prevent data oversharing, manage sprawl, defend against threats, and ensure compliance.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join us to learn how to deploy the #1 Physical Reasoning vision language model, NVIDIA Cosmos Reason on Azure. Discover how to use Cosmos Reason across 3 main use cases for: - Data curation and annotation to accelerate the creation of high-quality training datasets - Robot planning and reasoning to train robot vision language action models - Video analytics to analyze live or pre-recorded content

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

See how Cosmos DB in Fabric makes it easy to power AI-driven applications at scale. In this session, you’ll learn how to process customer data with Real-Time Intelligence, use Apache Spark to train ML-based recommendation engines, and combine vector search with Cosmos DB to deliver high-performance, personalized experiences. We’ll also cover collaborative filtering algorithms, blue-green deployments, User data functions, and Notebooks to build, test, and ship AI-enabled apps in real time.

This lab provides a comprehensive overview of building, deploying, and securing AI agents. We will start by creating a single agent with Azure Functions and Foundry Agent Service in Microsoft Foundry, then enhance it with Model Context Protocol (MCP) and add data grounding with Azure Cosmos DB. You will also combine the single agents to form a multi-agent system. You will then deploy, manage and secure the application on a Flex Consumption plan.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn practical strategies from Sam’s Club for modernizing mission-critical apps to Azure. Dive into technical strategies, get hands-on guidance to implement key resilience patterns and how to operationalize them in Azure Kubernetes Service (AKS), Azure SQL, Cosmos DB, and other critical Azure services. By the end of this session, developers and cloud practitioners will walk away with tools to modernize legacy monolithic apps for resilience, performance, and scale in Azure.

This lab provides a comprehensive overview of building, deploying, and securing AI agents. We will start by creating a single agent with Azure Functions and Foundry Agent Service in Microsoft Foundry, then enhance it with Model Context Protocol (MCP) and add data grounding with Azure Cosmos DB. You will also combine the single agents to form a multi-agent system. You will then deploy, manage and secure the application on a Flex Consumption plan.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Join us to learn how to deploy the #1 Physical Reasoning vision language model, NVIDIA Cosmos Reason on Azure. Discover how to use Cosmos Reason across 3 main use cases for: - Data curation and annotation to accelerate the creation of high-quality training datasets - Robot planning and reasoning to train robot vision language action models - Video analytics to analyze live or pre-recorded content

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Isolating tenants, managing costs, and ensuring reliability are core challenges for any multi-tenant SaaS app. This session provides a blueprint on Azure using real world examples. We'll dive deep into the data tier, contrasting Azure Cosmos DB’s DB-per-tenant pooling model against the partition-key-per-tenant strategy to find your ideal balance of cost and isolation. Learn how these choices impact your TCO and security posture and manage tenants with design patterns like deployment stamps.

This lab provides a comprehensive overview of building, deploying, and securing AI agents. We will start by creating a single agent with Azure Functions and Foundry Agent Service in Microsoft Foundry, then enhance it with Model Context Protocol (MCP) and add data grounding with Azure Cosmos DB. You will also combine the single agents to form a multi-agent system. You will then deploy, manage and secure the application on a Flex Consumption plan.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Build a multi-agent application leveraging MCP (Model Context Protocol) with the Microsoft Agent Framework in C# or LangGraph in Python, integrated with Azure Cosmos DB for scalable and high-performance data persistence and retrieval. Define agents, functions, and external service integrations, implement memory, state management, and semantic search using Azure Cosmos DB. By the end, you’ll have a robust AI agent system designed for real-world applications.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn how partners can build scalable, secure AI solutions with Microsoft Foundry. Integrate models from OpenAI, Cohere, Mistral, Hugging Face, and Meta Llama using Azure Databricks, Cosmos DB, Snowflake, and SQL. Foundry enables orchestration of agents, model customization, and secure data workflows—all within environments like GitHub, Visual Studio, and Copilot Studio.

Build standout AI products fast with Microsoft Foundry—LLMs and Agents. Learn patterns to ship apps grounded on enterprise data via OneLake and connected platforms (Fabric, Snowflake, CosmosDB, SQL, etc.). We’ll cover retrieval, tool-use, guardrails, and evaluation—plus a lean dev loop that turns experiments into production while meeting responsible AI standards.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

The explosive growth of cloud data—and its importance for analytics and AI—demands a new approach to protection and access. Traditional backup tools weren’t built to handle hyperscale workloads, such as Azure Blob Storage and Cosmos DB, resulting in costly silos. Discover how a cloud-native platform delivers hyperscale protection, automates operations, reduces TCO, and turns backups into a live, queryable data lake for analytics in Azure Synapse, Microsoft Fabric, and Azure OpenAI.

In this lab you'll help a coffee shop unify their operational and analytical workloads with Cosmos DB in Microsoft Fabric. You'll blend operational data with curated sources using cross-database SQL, stream and visualize real-time POS events, and create a gold layer for personalization. Finally, you'll implement reverse ETL to Cosmos for lightning-fast serving and train a lightweight Spark notebook model to deliver the right offer at the right time before your customer’s order is ready.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.