AI-3003: Build a natural language processing solution with Azure AI Services Course Overview

The AI-3003: Build a natural language processing solution with Azure AI Services Course is specially designed to equip learners with the skills required to develop intelligent applications, using Azure AI services, focusing on natural language processing (NLP). This training uses major concepts such as sentiment analysis, entity recognition, language detection, and key phrase extraction such as Azure's text analysis and Language Understanding (LUIS) services. Participants will also get hands-on experience in the creation of interactive AI systems, including the chatbots operated by the Azure Bot Service and integrating them with various channels.

This course rephrased to make logical and grammatical sense to deploy scalable models within the Azure environment, in the practical implementation of NLP workflows. The learners will understand how to analyze the customer response, automate professional processes, and decide through the AI-driven insights. It emphasizes re -shaping applications in areas such as healthcare, retail, finance and customer service, where natural language technologies are re -shaping the way they interact with users.

By the end of the course, Learners will be able to construct and deploy NLP solutions that enhance customer engagement and operational efficiency. The course is delivered by SSDN Technologies, Leading the Best Training Company, known for its expertise and commitment to delivering practical, job-ready learning in the fields of AI and Cloud Computing. 


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Learning Options for You

  • Live Training (Duration : 8 Hours)
  • Per Participant

Fee: On Request

Course Prerequisites

  • Basic understanding of Azure cloud services and AI fundamentals.
  • Familiarity with programming concepts, preferably in Python or C#.
  • Knowledge of machine learning concepts and natural language processing basics.
  • Experience working with APIs and SDKs for application integration.
  • Understanding of JSON, REST APIs, and data formats commonly used in cloud solutions.

Learning Objectives

After completing this course, students will be able to:  

  • Analyzing and translating text  
  • Build a question answering solution  
  • Build a conversational language understanding app  
  • Custom classification and named entity extraction  
  • Speech recognition, synthesis, and translation

Target Audience

  • AI developers and data engineers interested in building NLP solutions.
  • Cloud professionals looking to leverage Azure AI Services for language understanding.
  • Solution architects designing intelligent applications with conversational AI.
  • Students or professionals aiming to implement text analytics, language translation, and sentiment analysis using Azure.
  • Developers working on chatbots, virtual assistants, or AI-driven customer service solutions.

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