AI-3003 Course Overview:

This one-day technical training equips developers and AI engineers to build intelligent language and speech solutions on Azure. Leveraging Azure AI Language, Azure Speech services, MCP Servers, and Microsoft Foundry, learners will develop applications and agents capable of analysing text, extracting insights, recognizing and synthesizing speech, building voice-based experiences, and translating content across languages

After completing the AI-3003 training, you will be able to:

  • Analyse text using Azure Language in Microsoft Foundry Tools
  • Detect languages and extract entities from text
  • Identify and redact personally identifiable information (PII)
  • Develop text-analysis agents using the Azure Language MCP Server
  • Build speech-capable generative AI applications
  • Create speech-enabled applications using Azure Speech services
  • Develop speech agents using the Azure Speech MCP Server
  • Build conversational Voice Live agents
  • Translate text and speech using Azure AI services

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Build a natural language processing solution with Azure AI Language with Azure AI Services Key features:

  • Hands-on labs using Microsoft Foundry and Azure AI services 

  • Text analytics with Azure AI Language 

  • MCP-based AI agent development 

  • Speech recognition and speech synthesis implementation 

  • Voice Live agent development using APIs and SDKs 

  • Multilingual translation scenarios 

  • Focused, real-world exercises (~40–50% of time is hands-on) 

Who should Attend ?

  • AI Engineers & Developers
  • NLP Engineers and Conversational AI Developers
  • Application Developers building intelligent solutions
  • Solution Architects exploring Azure AI capabilities
  • Technical professionals implementing language and speech AI workloads

Pre-requisites of AI 3003 course

To enrol in this course, it is recommended to have:
  • Familiarity with Azure, the Azure portal, and basic programming experience. 

Learning objective of the AI-3003 Certification Training

  • Understand Azure AI Language capabilities and text analytics workloads 
  • Perform language detection and entity extraction from text 
  • Identify and manage personally identifiable information (PII) 
  • Build intelligent text-analysis agents using MCP architecture 
  • Develop speech-capable generative AI applications 
  • Implement speech-to-text and text-to-speech solutions 
  • Create speech-enabled applications using Azure Speech services 
  • Integrate Azure Speech MCP Server with AI agents 
  • Develop conversational Voice Live agents using Azure Voice Live APIs and SDKs 
  • Translate text and speech across multiple languages 
  • Design intelligent language and speech solutions for business scenarios 

Why choose CloudThat as your training partner for AI 3003?

  • Authorized Microsoft training partner offering official content 
  • Expert-led instructor guidance and demonstrations 
  • Practical language and speech AI implementation exercises 
  • Hands-on Microsoft Foundry and Azure AI experience 
  • Azure Cloud Slice access for hassle-free labs 
  • Post-course resources, Q&A support, and community access 

Modules covered in AI-3003: Download Course Outline

  • Analyze text with Azure Language in Foundry Tools
  • Develop a text analysis agent with the Azure Language MCP server
  • Develop a speech-capable generative AI application
  • Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
  • Develop a speech agent with the Azure Speech MCP server
  • Develop an Azure Speech Voice Live Agent in Microsoft Foundry
  • Translate text and speech with Microsoft Foundry Tools

Certification details:

    • Certificate of Completion (no exam required)
    • Microsoft Learn achievement code available
    • Digital badge shareable on LinkedIn or professional profiles  

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Course ID: 20067

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FAQs for AI-3003 Build Powerful NLP Solutions

One full day of instructor-led training.

AI Engineers, Developers, NLP practitioners, and professionals building intelligent language applications.

Yes, interactive labs covering text analytics, speech services, AI agents, Voice Live agents, and language translation.

Azure AI service environments can be provided through Cloud Slice for hands-on practice.

Yes, basic programming knowledge is recommended.

No. Assessment is through module exercises and practical demonstrations.

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