Organizations accumulate growing volumes of text data: emails, customer reviews, support tickets, internal documents and social media posts. Extracting actionable insights from this unstructured text remains a major challenge without the right tools, leading to missed opportunities, longer response times and decisions made without full visibility into customer and employee sentiment.
This 1-day AI-3003 training teaches you to build natural language processing solutions with Azure AI Language. You will learn how to analyze sentiment in text, extract named entities, automatically classify content and create conversational language understanding (CLU) models to power intelligent chatbots and virtual assistants. Hands-on labs on the Azure cloud platform guide you through building a complete NLP solution, from service configuration to application integration via REST APIs and SDKs. Azure AI Language natively supports French, a key asset for organizations in French-speaking Switzerland. This official Microsoft course is delivered by MCT-certified trainers at ITTA, a Microsoft Learning Partner, at our Geneva and Lausanne centers.
Module 1 : Analyze text with Azure Language in Foundry Tools
Module 2 : Develop a text analysis agent with the Azure Language MCP server
Module 3 : Develop a speech-capable generative AI application
Module 4 : Create speech-enabled apps with Azure Speech in Microsoft Foundry Tools
Module 5 : Develop a speech agent with the Azure Speech MCP server
Module 6 : Develop an Azure Speech Voice Live Agent in Microsoft Foundry
Module 7 : Translate text and speech with Microsoft Foundry Tools
Natural Language Processing (NLP) enables machines to understand, interpret, and generate human language. In a professional context, this technology opens up considerable possibilities for leveraging textual data. Automated analysis of customer reviews identifies satisfaction trends and friction points in real time.
Smart triage of emails and support tickets accelerates request handling and improves team responsiveness. Entity extraction from contractual documents facilitates compliance and regulatory auditing. Azure AI Language brings all of these capabilities together in a managed cloud service, accessible via simple APIs and high-performing pre-trained models in French, English, and many other languages — making it a preferred choice for organizations in French-speaking Switzerland.
The program covers the main features of Azure AI Language in an intensive one-day format. You will start by configuring the service and understanding its architecture in the Azure portal. Text analysis covers sentiment detection (positive, negative, neutral, mixed), named entity recognition (people, places, organizations, dates), and automatic language detection.
The conversational language understanding (CLU) component teaches you to build models capable of identifying intents and entities in user utterances — an essential component for building chatbots and virtual assistants. You will also address custom text classification to automatically categorize documents according to your business taxonomy. Each concept is applied in guided labs in the Azure cloud environment with support from MCT instructors.
Natural language processing solutions apply to many industries. In customer service, sentiment analysis on reviews and social media detects dissatisfaction and enables rapid response. Contact centers use CLU to automatically route requests to the right departments by identifying the caller’s intent.
The legal sector leverages entity extraction to identify clauses, dates, and amounts in large contract volumes. In HR, text classification automates CV screening based on required skills. Compliance departments analyze communication streams to detect anomalies and regulatory risks. Azure AI Language handles French natively — a major advantage for organizations in French-speaking Switzerland that process multilingual documents.
This training prepares you for a Microsoft Applied Skill, a validation format centered on practical, directly applicable competencies. The assessment takes place in a lab environment where you must demonstrate your ability to build a functional end-to-end NLP solution with Azure AI Language. This format complements traditional certifications by attesting to concrete skills in a work setting. The AI-3003 training is part of the Azure AI specialization path. It can be taken after AI-900 to deepen the NLP component, or alongside AI-102 to strengthen your skills in a specific area of Azure AI. Professionals can combine multiple Applied Skills to build a comprehensive AI competency profile.
ITTA delivers this training at its Geneva and Lausanne centers, as well as in a virtual classroom. As a Microsoft Learning Partner, ITTA provides official Microsoft content with MOC course materials and access to Azure cloud labs throughout the training. MCT-certified instructors have hands-on experience implementing NLP solutions and share feedback from real-world enterprise projects. Small group sizes ensure personalized support and allow examples to be tailored to each participant’s business context.
What are the prerequisites for the AI-3003 training?
Familiarity with the Azure portal and basic programming skills (Python or C#) are recommended. Knowledge of REST APIs facilitates the integration hands-on labs.
Does Azure AI Language support French?
Yes, Azure AI Language natively supports French for sentiment analysis, entity extraction, and language detection. CLU models can also be trained in French for conversational understanding.
What is the difference between AI-3003 and AI-102 for NLP?
AI-3003 focuses exclusively on natural language processing in an intensive one-day format. AI-102 covers NLP among other domains (vision, bots, document extraction, OpenAI) over 4 days with a broader perspective.
Can you build chatbots with this training?
The training covers creating CLU models that form the understanding engine of chatbots. To build a complete bot with an interface and deployment channels, the AI-102 training provides the complementary skills with Bot Framework.
Is an Applied Skill recognized as a certification?
An Applied Skill is an official Microsoft validation format, distinct from exam-based certifications. It certifies specific practical competencies and appears on your Microsoft Learn profile in the same way as a certification.
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