Course description

This advanced course delves into the fascinating world of NLP and its application in creating interactive and intelligent conversational agents. You'll explore cutting-edge techniques to process and understand human language, design engaging chatbot interactions, and build AI-powered conversational systems.

Topics Covered:

  • Fundamentals of NLP and its role in conversational AI
  • Text preprocessing, tokenization, and feature extraction
  • Intent recognition and entity extraction
  • Dialogue management and conversation flow design
  • Sentiment analysis and emotion detection
  • Building chatbots with popular frameworks (e.g., Rasa, Dialogflow)
  • Deploying and evaluating conversational AI applications
  • Ethical considerations in NLP and conversational AI

What will i learn?

  • Understand the fundamentals of NLP and its application in conversational AI.
  • Apply NLP techniques for text preprocessing, intent recognition, and entity extraction.
  • Design and develop chatbots and conversational AI agents.
  • Evaluate and improve the performance of conversational systems.
  • Gain awareness of ethical considerations in NLP and AI development.
  • Build a portfolio of NLP and conversational AI projects.

Requirements

  • A computer with a stable internet connection.
  • Python 3.x installed (with common data science libraries like pandas and NumPy)
  • A code editor (e.g., VS Code, Jupyter Notebook)
  • Accounts on relevant platforms (e.g., Google Cloud for Dialogflow, potentially a GitHub account)

Frequently asked question

While often used interchangeably, there are nuances. Chatbots are typically rule-based and follow pre-defined conversation paths. Conversational AI is more sophisticated, using NLP and machine learning to understand and respond to user input in a more natural and flexible way.

Conversational AI is used in customer service chatbots, virtual assistants (like Siri and Alexa), healthcare, education, and more. It can automate tasks, provide information, and even offer personalized experiences.

This course focuses on Python and popular NLP libraries like NLTK and spaCy. You'll also explore chatbot development frameworks like Rasa and Dialogflow.

You should have a solid foundation in Python programming and a basic understanding of machine learning concepts. Some prior experience with NLP would be beneficial but not mandatory.

Faruk Muhammed

£200

£400

Lectures

0

Category

Machine Learning

Publish date

20 January 2025

Expiry period

Lifetime

Certificate

Yes

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