Course Overview
The AI-3003: Build a Natural Language Processing (NLP) Solution with Azure AI Services course is designed for professionals seeking to design, develop, and deploy NLP-powered applications using Microsoft Azure AI. This training provides hands-on experience in implementing language understanding, text analytics, conversational AI, and knowledge extraction solutions that enable organisations to make data-driven decisions and enhance user experiences.
Participants will explore Azure Cognitive Services, Language Service, Text Analytics, Translator, and QnA Maker to build real-world NLP solutions. The course emphasises solution architecture, data preprocessing, model evaluation, integration, and deployment, ensuring learners can create scalable, secure, and production-ready NLP applications.
By completing this course, participants will gain the expertise to implement NLP solutions in enterprise environments, leveraging Azure AI services for intelligent automation, sentiment analysis, content moderation, chatbot development, and advanced text analytics. The course also aligns with Microsoft’s AI engineering certification pathways, supporting career growth in AI and data-driven roles.
In this course, you will learn how to:
- Designing solutions for processing natural language with Azure AI Language.
- Creating solutions for analyzing text using preconfigured features.
- Training models for custom language solutions, specifically for question answering and conversational language understanding.
- Understanding, synthesizing, and translating speech.
Training Prerequisites:
Before enrolling in this course, students are expected to have:
- Knowledge of Microsoft Azure and the ability to navigate the Azure portal effectively.
- Proficiency in either C# or Python programming languages.
- Familiarity with JSON and REST programming semantics.
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