Azure Decoded

7:00 PM - 8:00 PM (UTC)

Start your journey to secure AI workloads in the cloud. Learn how Defender for Cloud provides foundational protection for your AI solutions and why it’s essential for modern security strategies. What you’ll learn: Identify the layers that make up AI workloads in Azure Recognize security risks unique to AI, including prompt injection, data leakage, and model misuse Explain how Microsoft Foundry provides guardrails and observability for AI models Describe how Microsoft Defender for Cloud, Microsoft Purview, and Microsoft Entra ID work together to secure and govern AI workloads Summarize how these services align to create a unified, defense-in-depth strategy for AI security in Azure Who should attend: Developers, Security Engineers, and technical professionals who want to learn how Defender for Cloud provides foundational protection for AI solutions and why it’s essential for modern security strategies. Enable threat protection for AI services Defender for Cloud - AI threat protection

7:00 PM - 8:00 PM (UTC)

In this session, you’ll learn how Azure Databricks, Microsoft Fabric, and OneLake come together to deliver a unified, modern Lakehouse architecture. We’ll walk through how data flows seamlessly between platforms, how metadata stays consistent, and how shared governance is enforced end‑to‑end using Unity Catalog and Microsoft Purview. You’ll see how security, lineage, and access controls extend across both ecosystems—enabling teams to operate with a single governance framework while taking advantage of each platform’s strengths. What you’ll learn: How Azure Databricks, Microsoft Fabric, and OneLake align to deliver a cohesive Lakehouse architecture. How unified governance works across both platforms using Unity Catalog and Microsoft Purview. Practical patterns for integrating Databricks and Fabric, including cross-platform data sharing and metadata consistency. Who should attend: Developers, solution architects, and technical professionals who want to prepare for DP-750 Azure Databricks Data Engineer certification. Secure Unity Catalog objects Govern Unity Catalog objects

7:00 PM - 8:00 PM (UTC)

In this episode of Azure Decoded, our team breaks down what Fabric IQ unlocks: a shared semantic foundation that helps teams and AI reason over data. You’ll see a practical demo of how Fabric IQ unifies business semantics across data, models, and rules; then powers data agents that ground natural-language questions in consistent definitions of entities, relationships, and metrics for more trustworthy answers. We’ll also cover how these agents can be used inside and outside Fabric (including via Microsoft Foundry), so data engineers, developers, and AI devs can move faster from insight to action with less prompt wrangling. What you’ll learn: • How Fabric IQ creates a shared semantic foundation that unifies business entities, relationships, and metrics across data, models, and systems • How to build and use Fabric IQ–powered data agents that ground natural‑language questions in business context and return more accurate, trustworthy insights across tabular, graph, and real‑time data. • How to apply Fabric IQ in real-world developer workflows, including a live demo showing how data engineers and AI developers can move faster from data to decisions using Fabric, Foundry, and agent-ready architectures. Who should attend: Developers, AI Developers, Data Engineers, solution architects, and technical professionals Understand Microsoft Fabric IQ fundamentals

5:00 PM - 6:00 PM (UTC)

Nesta sessão, você aprenderá como Azure Databricks, Microsoft Fabric e OneLake se unem para oferecer uma arquitetura de Lakehouse moderna e unificada. Vamos explorar como os dados fluem de forma contínua entre as plataformas, como os metadados permanecem consistentes e como a governança compartilhada é aplicada de ponta a ponta usando o Unity Catalog e o Microsoft Purview. Você verá como segurança, linhagem e controles de acesso se estendem por ambos os ecossistemas, permitindo que as equipes operem com um único framework de governança enquanto aproveitam os pontos fortes de cada plataforma. O que você vai aprender: Como Azure Databricks, Microsoft Fabric e OneLake se alinham para entregar uma arquitetura de Lakehouse coesa. Como a governança unificada funciona entre as duas plataformas usando Unity Catalog e Microsoft Purview. Padrões práticos para integrar Databricks e Fabric, incluindo compartilhamento de dados entre plataformas e consistência de metadados. Para quem é esta sessão: Desenvolvedores, arquitetos de soluções e profissionais técnicos que desejam se preparar para a certificação DP-750 Azure Databricks Data Engineer.

7:00 PM - 8:00 PM (UTC)

Take your AI security to the next level. Explore advanced techniques and best practices for safeguarding AI-powered applications against evolving threats in the cloud. What you’ll learn: Enable and configure the AI workloads plan in Microsoft Defender for Cloud Review AI resource insights in the Data & AI security dashboard Assess and improve AI posture with Cloud Security Posture Management (CSPM) Detect and respond to runtime threats using Cloud Workload Protection (CWP) Investigate AI-related alerts and incidents in Microsoft Defender XDR Who should attend: Developers, Security Engineers, and technical professionals who want to explore advanced techniques and best practices for safeguarding AI-powered applications against evolving threats in the cloud. Protect AI workloads with Microsoft Defender for Cloud

7:00 PM - 8:00 PM (UTC)

Join us for a fast kickoff to Azure Cosmos DB, then watch a live, end-to-end build in Visual Studio Code where we create a new Cosmos DB database and wire up an app using modern developer workflows. We'll demo agent-based vibe coding with the Azure Cosmos DB Agent Kit, showing how it plugs into agent-compatible coding assistants (including GitHub Copilot in VS Code) to apply Cosmos DB best practices as you design data models, choose distribution strategies, and tune queries and indexing. We’ll wrap with practical guidance on integrating Cosmos DB with other Azure services—skills that align directly to the Microsoft Certified: Azure Cosmos DB Developer Specialty (DP-420 certification). What you’ll learn: • What is and how to get started with Azure Cosmos DB • Setting up your Azure Cosmos DB AI Development Kit (VS Code, GitHub Copilot Chat, Cosmos DB Extension, GitHub Copilot for Azure, Azure MCP – 3 points suggested • Creating a CRUD application with natural language Who should attend: Developers building cloud-native applications who want to skill up on Azure Cosmos DB and learn modern, agent-assisted workflows in their IDE—plus anyone planning to attend Cosmos DB Conf or pursue the DP-420 Azure Cosmos DB Developer Specialty certification. Azure Cosmos DB Agent Kit for AI coding assistants Get started with Azure Cosmos DB for NoSQL Get started with AI-assisted development Get started with GitHub Copilot

2:00 PM - 3:00 PM (UTC)

En esta sesión, aprenderás cómo Azure Databricks, Microsoft Fabric y OneLake se integran para ofrecer una arquitectura de Lakehouse moderna y unificada. Analizaremos cómo los datos fluyen de forma fluida entre las plataformas, cómo se mantiene la coherencia de los metadatos y cómo se aplica una gobernanza compartida de extremo a extremo utilizando Unity Catalog y Microsoft Purview. Verás cómo la seguridad, el linaje y los controles de acceso se extienden a través de ambos ecosistemas, lo que permite a los equipos operar con un único marco de gobernanza mientras aprovechan las fortalezas de cada plataforma. Lo que aprenderás: Cómo Azure Databricks, Microsoft Fabric y OneLake se alinean para ofrecer una arquitectura de Lakehouse cohesiva. Cómo funciona la gobernanza unificada en ambas plataformas utilizando Unity Catalog y Microsoft Purview. Patrones prácticos para integrar Databricks y Fabric, incluyendo el intercambio de datos entre plataformas y la coherencia de metadatos. ¿A quién va dirigido? Desarrolladores, arquitectos de soluciones y profesionales técnicos que desean prepararse para la certificación DP-750 Azure Databricks Data Engineer.