What you'll learn

• Perform text analysis: sentiment, opinion mining, key phrase extraction and language detection.
• Extract named entities and recognise personally identifiable information (PII) with Azure AI Language.
• Build custom text classification and custom named entity recognition (NER) models.
• Create question answering solutions using Azure AI Language QnA and custom question answering.
• Apply conversational language understanding (CLU) to build intent-recognition applications.

Who should attend?

This training targets developers, data engineers and AI practitioners who build NLP-powered applications. It is ideal for those integrating text intelligence into enterprise workflows, chatbots, document processing pipelines and customer analytics platforms.

Prerequisites

• Azure AI-900 recommended but not mandatory.
• Basic Python or C# programming skills.
• Familiarity with REST APIs and basic text processing concepts.

Course curriculum

Module 1 – Azure AI Language overview

Introduction to the Azure AI Language service, features and sub-services, provisioning, authentication and SDK fundamentals.

Module 2 – Text analysis & sentiment

Sentiment analysis, opinion mining, key phrase extraction, language detection and text summarisation in production.

Module 3 – Entity recognition & PII

Named entity recognition (NER), entity linking, PII detection and redaction for compliance-sensitive applications.

Module 4 – Custom classification & NER

Training custom text classification models and custom NER extractors using Azure Language Studio and the SDK.

Module 5 – Question answering & CLU

Building knowledge base QnA solutions, custom question answering and conversational language understanding for dialogue systems.

Module 6 – Assessment preparation

End-to-end lab integrating multiple language capabilities, review of Applied Skills assessment scenarios and best practices.

Certification exam

• Assessment: Microsoft Applied Skills – Develop Natural Language Processing Solutions with Azure AI.
• Format: Lab-based applied skills assessment.
• Duration: 2 hours.
• Language: English.
• Credential: Official Microsoft Applied Skills badge.

Why this certification matters

• Build enterprise-grade NLP capabilities on the leading enterprise cloud platform.
• Earn a Microsoft-recognised credential for applied NLP engineering skills.
• Open doors to document processing, chatbot and customer intelligence roles.
• Natural complement to AI-3002 (Vision) and stepping stone to AI-102.

What's next?

After this credential, learners typically progress to AI-102 Azure AI Engineer Associate, AI-3002 (Vision), AI-050 (Generative AI) or specialised roles in conversational AI and document intelligence.