Natural Language Processing in Microsoft Azure

Microsoft introduces text and speech processing through Azure AI services, then studies language work and conversational AI. This is a cloud-service route rather than a course centered on training NLP models from scratch. It can help learners compare managed capabilities with a custom implementation.

What you will learn

• Identify Azure services for text and speech processing.
• Use language-processing capabilities in a cloud workflow.
• Explain the components of a conversational AI solution.

Who this suits

Beginners with basic computer literacy; Microsoft notes that general programming knowledge or experience can help.

Before you enroll

Check current Azure product names, regional availability and lab access. Cloud usage may create charges beyond enrollment, and course completion is separate from any Microsoft certification exam.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Map a simple support-chat scenario to text, speech and conversation capabilities. Identify which input should remain private and how a failed service request would be handled.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

How YellowCourse describes and checks learning resources.