Introducing Azure AI Agent Service
Introducing Azure AI Agent Service at Microsoft Ignite 2024 Discover how Azure AI Agent Service is revolutionizing the development and deployment of AI agents. This service empowers developers to build, deploy, and scale high-quality AI agents tailored to business needs within hours. With features like rapid development, extensive data connections, flexible model selection, and enterprise-grade security, Azure AI Agent Service sets a new standard in AI automationDP-900: Microsoft Azure Data Fundamentals Study Guide
Microsoft Azure provides an array of services that enable businesses and organizations to undergo digital transformation by making quick and informed decisions. The DP-900 Microsoft Azure Data Fundamentals exam evaluates learners' understanding of data concepts such as relational, non-relational, big data, and analytics. The exam requires learners to demonstrate their knowledge of core data concepts, relational and non-relational data, and Azure data services. Microsoft offers resources such as Microsoft Learn self-paced curriculum, an instructor-led course, and related documentation to help students prepare for the exam. Understanding Azure data principles is vital for more advanced Azure certifications like Azure Database Administrator Associate and Azure Data Engineer Associate.Migrating Google Firebase Firestore Database to Azure Cosmos DB
In today's rapidly evolving digital landscape, data is the lifeblood of any application or service. Developers and businesses often find themselves needing to adapt and scale their databases to meet changing requirements. One common scenario is the migration from Firebase Firestore, a popular NoSQL database, to Azure Cosmos DB, Microsoft's globally distributed, multi-model database service. This migration can be driven by various factors, such as performance optimization, scalability needs, compliance requirements, or a shift in the cloud ecosystem.Build a chatbot service to ensure safe conversations: Using Azure Content Safety & Azure OpenAI
This tutorial is ideal for anyone who wants to build a chatbot service with strong content moderation capabilities. In this tutorial, you will learn how to build a chatbot service that interacts with users using Azure Cosmos DB, Azure Content Safety, and Azure OpenAI. This service provides the following features: 1. Analyze user messages for safety: Analyze messages entered by users using Azure Content Safety to evaluate them for hate, self-harm, sexual content, and violence. 2. Conversations with chatbot: Conduct conversations about safe messages using Azure OpenAI. 3. Manage conversation history: Store a user's conversation history in Azure Cosmos DB and load or clear the history as needed.
The Azure Multimodal AI & LLM Processing Solution Accelerator
The Azure Multimodal AI & LLM Processing Accelerator is your one-stop-shop for all backend AI+LLM processing use cases like content summarization, extraction, classification and enrichment. This single accelerator supports all types of input data (text, documents, audio, image, video etc) and combines the best of Azure AI Services and LLMs to achieve reliable, consistent and scalable automation of tasks.Getting started with Azure Cosmos Database (A Deep Dive)
A deep dive into Azure Cosmos DB - a globally distributed, real-time NoSQL and relational database that scales effortlessly and delivers seamless performance at every level. Topics to be covered NoSQL Vs Relational Databases What is Azure Cosmos DB Azure cosmos DB Architecture Azure Cosmos Db Components Multi-model (APIs) Partitions Request Units Azure cosmos DB Access Methods Scenario: Event Database Creating Resources using Azure cosmos DB for NoSQL
