{"product_id":"develop-natural-language-solutions-in-azure-ai-3003","title":"Develop Natural Language Solutions in Azure (AI-3003)","description":"\u003cdiv\u003e\n\u003cp\u003eThis course teaches learners how to develop natural language solutions using Microsoft Foundry and Azure AI services. Participants learn how to build applications and agents that analyze text, detect language, extract entities, identify personally identifiable information, transcribe and synthesize speech, and translate text and speech across languages.\u003c\/p\u003e\r\n\u003cp\u003eLearners explore how Microsoft Foundry, Azure Language, Azure Speech, Translator, generative AI models, and Model Context Protocol servers can be used to create intelligent applications and agents that understand, process, and respond to natural language inputs.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003ch3\u003eDevelop Natural Language Solutions in Azure (AI-3003) Benefits\u003c\/h3\u003e\n\u003cul\u003e\u003cli\u003e\n\u003cp\u003e\u003cb\u003eCourse Benefits\u003c\/b\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eBuilds practical skills for developing natural language processing solutions in Azure\u003c\/li\u003e\n\u003cli\u003eHelps learners create applications that analyze, interpret, and respond to text and speech\u003c\/li\u003e\n\u003cli\u003eCovers both traditional Azure AI capabilities and newer agent-based patterns\u003c\/li\u003e\n\u003cli\u003eIntroduces Microsoft Foundry tools for text analysis, speech, translation, and voice-enabled AI experiences\u003c\/li\u003e\n\u003cli\u003eProvides hands-on experience with APIs, SDKs, MCP servers, and AI agents\u003c\/li\u003e\n\u003cli\u003eSupports developers and AI engineers building language-enabled applications and conversational AI solutions\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cb\u003e\u003ci\u003eAPIs\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e: Application Programming Interfaces, which allow software applications to connect and exchange data. \u003cb\u003eSDKs\u003c\/b\u003e: Software Development Kits, which provide tools and code libraries developers use to build applications.\u003cb\u003eMCP\u003c\/b\u003e \u003cb\u003eservers\u003c\/b\u003e: Model Context Protocol servers, which allow AI agents to connect with external tools, systems, and data sources.\u003c\/i\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003ePrerequisites\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eLearners should have familiarity with Azure and the Azure portal, along with programming experience. Experience with Microsoft Foundry, generative AI model deployment, Python, REST APIs, webhooks, and cloud computing concepts is helpful for the more advanced agent and voice-focused sections.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eExam Information\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eNone\u003c\/p\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003c\/div\u003e\u003cdiv\u003e\u003ch3\u003eAzure Natural Language Solutions Course Outline\u003c\/h3\u003e\u003c\/div\u003e\u003cdiv\u003e\n\u003ch4\u003eLearning Objectives\u003c\/h4\u003e\n\u003cp\u003e\u003cb\u003eModule 1 - Text Analysis with Azure Language\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners build foundational skills for analyzing text with Azure Language in Microsoft Foundry Tools. They learn how to detect language, recognize named entities, and identify personally identifiable information in text.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eAnalyze text with Azure Language in Foundry Tools\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse Azure Language in Foundry Tools to extract semantic information from text\u003c\/li\u003e\n\u003cli\u003eDetect the language used in text\u003c\/li\u003e\n\u003cli\u003eRecognize named entities such as people, places, organizations, and other key terms\u003c\/li\u003e\n\u003cli\u003eExtract personally identifiable information from text\u003c\/li\u003e\n\u003cli\u003eApply text analysis capabilities in an application scenario\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 2 - Building Text Analysis Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners explore how to build AI agents that use the Azure Language MCP server to perform text analysis tasks. They learn how MCP enables agents to discover and use tools dynamically and how to connect those tools to Microsoft Foundry agents.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDevelop a text analysis agent with the Azure Language MCP server\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe the Azure Language MCP server and the text analysis capabilities it exposes\u003c\/li\u003e\n\u003cli\u003eExplain how MCP enables dynamic tool discovery and selection by AI agents\u003c\/li\u003e\n\u003cli\u003eConnect the Azure Language MCP server to an agent in Microsoft Foundry\u003c\/li\u003e\n\u003cli\u003eBuild a Python client application that invokes an agent for text analysis\u003c\/li\u003e\n\u003cli\u003eUse the agent to perform tasks such as language detection, entity recognition, and personal information redaction\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 3 - Speech-Capable Generative AI Applications\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners develop applications that can work with spoken language using speech-capable generative AI models in Microsoft Foundry. They learn how to deploy models, transcribe speech, and synthesize spoken responses.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDevelop a speech-capable generative AI application\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDeploy speech-capable generative AI models in Microsoft Foundry\u003c\/li\u003e\n\u003cli\u003eSelect an appropriate model for speech-enabled scenarios\u003c\/li\u003e\n\u003cli\u003eUse a generative AI model to transcribe speech\u003c\/li\u003e\n\u003cli\u003eUse a generative AI model to synthesize speech\u003c\/li\u003e\n\u003cli\u003eBuild applications that support spoken input and output\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 4 - Speech-Enabled Applications with Azure Speech\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners use Azure Speech in Microsoft Foundry Tools to build speech-enabled applications. They work with speech-to-text and text-to-speech APIs, configure audio settings and voices, and use Speech Synthesis Markup Language to control spoken output.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eCreate speech-enabled apps with Azure Speech in Microsoft Foundry Tools\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eUse a Microsoft Foundry resource for Azure Speech\u003c\/li\u003e\n\u003cli\u003eImplement speech recognition with the Speech to text API\u003c\/li\u003e\n\u003cli\u003eUse the Text to speech API to implement speech synthesis\u003c\/li\u003e\n\u003cli\u003eConfigure audio formats and voices\u003c\/li\u003e\n\u003cli\u003eUse Speech Synthesis Markup Language to customize synthesized speech\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 5 - Building Speech Agents\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners build AI agents that use the Azure Speech MCP server to perform speech-to-text and text-to-speech tasks. They configure supporting Azure resources and create a client application that invokes the agent for speech scenarios.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDevelop a speech agent with the Azure Speech MCP server\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe the Azure Speech MCP server and the speech capabilities it exposes\u003c\/li\u003e\n\u003cli\u003eExplain how MCP enables dynamic tool discovery and selection by AI agents\u003c\/li\u003e\n\u003cli\u003eSet up Azure Blob Storage for audio input and output\u003c\/li\u003e\n\u003cli\u003eConnect the Azure Speech MCP server to an agent in Microsoft Foundry\u003c\/li\u003e\n\u003cli\u003eBuild a Python client application that invokes an agent to perform speech tasks\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 6 - Voice Live Agents in Microsoft Foundry\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners develop conversational voice agents using the Azure Speech Voice Live platform. They explore the Voice Live API and SDK, then integrate Microsoft Foundry agents to create real-time voice-enabled AI experiences.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eDevelop an Azure Speech Voice Live Agent in Microsoft Foundry\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eDescribe the core components and capabilities of the Azure Speech Voice Live platform\u003c\/li\u003e\n\u003cli\u003eUse the Voice Live API to create conversational AI solutions\u003c\/li\u003e\n\u003cli\u003eUse the Voice Live SDK to build and deploy conversational AI solutions\u003c\/li\u003e\n\u003cli\u003eIntegrate Microsoft Foundry agents with the Voice Live API\u003c\/li\u003e\n\u003cli\u003eCreate voice agents that support real-time conversational experiences\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eModule 7 - Text and Speech Translation\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003eIn this section, learners use Translator and Azure Speech services in Microsoft Foundry Tools to build applications that translate text and speech between languages.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eLessons\u003c\/b\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eTranslate text and speech with Microsoft Foundry Tools\u003c\/b\u003e\u003c\/p\u003e\n\u003cul type=\"disc\"\u003e\n\u003cli\u003eIdentify options for translating text and speech in Microsoft Foundry Tools\u003c\/li\u003e\n\u003cli\u003eUse Azure Translator in Foundry Tools to translate text\u003c\/li\u003e\n\u003cli\u003eUse Azure Speech in Foundry Tools to translate speech\u003c\/li\u003e\n\u003cli\u003eBuild applications that support multilingual text and spoken interactions\u003c\/li\u003e\n\u003cli\u003eApply translation capabilities to real-world communication scenarios\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e","brand":"Microsoft","offers":[{"title":"26AD13US \/ 2026-10-19T09:00:00 \/ Online","offer_id":46278865158280,"sku":"US-8783-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"26BD59US \/ 2026-11-30T09:00:00 \/ Online","offer_id":46278865191048,"sku":"US-8783-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"271D04US \/ 2027-01-19T09:00:00 \/ Online","offer_id":46278865223816,"sku":"US-8783-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"273C50US \/ 2027-03-01T09:00:00 \/ Online","offer_id":46278865256584,"sku":"US-8783-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"274C57US \/ 2027-04-19T09:00:00 \/ Online","offer_id":46278865289352,"sku":"US-8783-IL","price":488.0,"currency_code":"USD","in_stock":true},{"title":"276C71US \/ 2027-06-01T09:00:00 \/ Online","offer_id":46278865322120,"sku":"US-8783-IL","price":488.0,"currency_code":"USD","in_stock":true}],"url":"https:\/\/kpit.learningtree.com\/products\/develop-natural-language-solutions-in-azure-ai-3003","provider":"Learning Tree International","version":"1.0","type":"link"}