AI-3003 Build a natural language processing solution

AI-3003 Build a natural language processing solution, Build NLP solutions with Azure AI Language — sentiment analysis, translation, entity recognition, and app integration.
Course Description
This course is designed to help you master the fundamentals of NLP using Azure AI services. Through step-by-step lessons and practical labs, you’ll explore how to analyze text, extract insights, and build intelligent applications that understand human language.
You’ll begin by learning the basics of text analysis with Azure AI Language services, including sentiment analysis, entity recognition, and key phrase extraction. Hands-on practice in the Lab – Analyze Text will help reinforce these concepts. Next, you’ll move into conversational AI, where you’ll explore conversational understanding and question answering. You’ll create intelligent solutions in Lab – Create a Language Understanding Model and Lab – Create a Question Answering Solution to see how real-world chatbots and virtual assistants can be built on Azure.
Beyond text and conversations, the course will guide you into custom classification and named entity extraction, giving you the skills to design tailored solutions that meet unique business needs. You’ll also learn how to integrate speech recognition and synthesis, enabling applications to transcribe and generate spoken content. The Lab – Speech Recognition and Synthesis will bring this concept to life.
Finally, you’ll explore translation services and integrate them with generative AI features in the Lab – Audio Enabled Generative AI App, where you’ll design multilingual, voice-enabled intelligent solutions.
By the end of this course, you’ll have hands-on experience across multiple Azure AI Language capabilities—from text analytics and speech services to translation and conversational AI. Whether you’re preparing for Microsoft’s AI Engineer Associate certification, working as a developer or data scientist, or simply curious about AI, this course will equip you with practical NLP skills in the Azure ecosystem that can be applied directly to real-world applications.

