AI-3003: Develop natural language solutions in Azure​

Course Description

Master the art of building advanced natural language solutions in Azure with this intermediate-level, instructor-led course. Designed for developers and AI engineers, this training dives deep into the design, development, and deployment of language understanding, text analytics, conversational AI, translation, and speech-enabled applications using Azure AI Language, Azure Translator, and Azure Speech Services. Explore how to implement sentiment analysis, entity recognition, custom classification, and real-time speech translation. The course balances theory with practice, with 40–50% of time dedicated to hands-on exercises.

Target Audience

Ideal for:

• AI Engineers, Software Developers, and Cloud Developers building natural language processing (NLP) solutions in Azure

• Professionals familiar with programming in C# or Python and comfortable using Azure portal and REST APIs

Prerequisites:

• Basic experience with Azure fundamentals

• Programming knowledge in C# or Python

Course Outline

Module 1: Analyze Text with Azure AI Language

• Leverage Azure AI Language to perform sentiment analysis, language detection, key phrase extraction, and entity recognition

• Understand linked entities and how to apply them in NLP solutions

Module 2: Build Question Answering and Conversational AI Solutions

• Create question answering systems using knowledge bases

• Develop multi-turn conversational agents using Conversational Language Understanding (CLU) models

• Apply active learning to improve accuracy and user experience

Module 3: Develop Custom Text Classification and Named Entity Recognition Models

• Train custom text classifiers to categorize documents and data

• Build and deploy custom Named Entity Recognition (NER) models to extract domain-specific entities from unstructured text

Module 4: Translate Text with Azure Translator

• Implement text translation and transliteration services

• Customize translation pipelines for multilingual applications

Module 5: Build Speech-Enabled Solutions with Azure Speech Services

• Integrate speech-to-text and text-to-speech capabilities for interactive applications

• Use Speech SDKs to implement real-time speech translation and voice commands

Hands-On Experience

The course dedicates 40–50% of time to hands-on coding exercises, demos, and applied practice to solidify skills in building practical natural language solutions in Azure.

Skills You’ll Gain

By the end of AI-3003, you will be able to:

• Analyze and interpret textual data using Azure AI Language services

• Develop conversational AI agents and question-answering solutions

• Build custom classifiers and entity recognition models for specialized NLP tasks

• Translate text and speech across languages for global applications

• Design and implement speech-enabled applications using Azure Speech Services