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Build a Natural Language Processing Solution with Azure AI Services Course Overview

AI-3003: Build a Natural Language Processing Solution with Azure AI Services explores essential techniques for developing NLP applications using Azure's powerful tools. This course is crucial for data scientists, software developers, and AI enthusiasts looking to enhance their skills in harnessing the potential of AI-driven language solutions, empowering them to create innovative applications that understand and generate human language.


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Course Introduction

Price:

USD 750

Duration:

8 Hrs.

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  • Course Introduction
    • Overview of Natural Language Processing (NLP)
    • Importance of AI in modern applications
    • Introduction to Azure AI Services
  • Module 1: Fundamentals of Natural Language Processing
    • Key concepts and terminologies
    • Text preprocessing techniques
    • Common NLP tasks: tokenization, named entity recognition, sentiment analysis
  • Module 2: Setting Up Azure AI Services
    • Creating an Azure account
    • Overview of Azure AI services for NLP
    • Configuring Azure resources for NLP projects
  • Module 3: Building Text Analytics Solutions
    • Using Azure Text Analytics API
    • Analyzing sentiment and key phrases
    • Implementing entity recognition
  • Module 4: Language Understanding with LUIS
    • Introduction to Language Understanding (LUIS)
    • Designing and training LUIS models
    • Integrating LUIS with applications
  • Module 5: Conversational AI with Azure Bot Services
    • Overview of Azure Bot Framework
    • Building and deploying chatbots
    • Integrating LUIS with a bot for enhanced conversations
  • Module 6: Custom NLP Models
    • Introduction to Azure Machine Learning
    • Training custom NLP models using Azure
    • Evaluating and deploying custom models
  • Module 7: Best Practices and Optimization
    • Ensuring model accuracy and performance
    • Monitoring and maintaining NLP solutions
    • Ethical considerations in AI and NLP
  • Module 8: Capstone Project
    • Defining project requirements
    • Building a complete NLP solution using Azure AI services
    • Presentation and feedback session
  • Course Conclusion
    • Recap of key learnings
    • Future trends in NLP and AI
    • Resources for further learning and exploration

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