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Course Outline

Introduction to AI Agents and Chatbots

  • Definition of AI agents
  • Categories of chatbots: Rule-based versus AI-driven
  • Industrial applications of chatbots

Foundations of Natural Language Processing (NLP)

  • Overview of NLP and its significance in chatbot development
  • Tokenization, stemming, and lemmatization
  • Identifying intents and entities

Planning Your Chatbot

  • Establishing the purpose and scope of the chatbot
  • Structuring conversational flows
  • Generating training datasets for chatbot responses

Building Your First Chatbot

  • Configuring the development environment
  • Creating a basic chatbot using Python and Flask
  • Implementing essential NLP features for dialogue

Enhancing Chatbot Performance

  • Incorporating fallback and error-handling protocols
  • Enriching responses through external APIs
  • Testing and debugging the chatbot

Deploying Your Chatbot

  • Hosting the chatbot on a local server
  • Integrating the chatbot with messaging platforms
  • Optimising for scalability and performance

Ethical Considerations and Best Practices

  • Safeguarding user data privacy and security
  • Designing inclusive and unbiased chatbots
  • Maintaining transparency in AI interactions

Exploring Advanced Chatbot Features

  • Utilising machine learning for superior conversations
  • Integrating sentiment analysis
  • Overview of advanced frameworks such as Rasa

Summary and Future Steps

Requirements

  • Fundamental understanding of programming concepts
  • Proficiency with Python syntax
  • A strong desire to explore AI technologies

Audience

  • Beginners in AI
  • Programmers
  • Enthusiasts interested in chatbots and AI agents
 14 Hours

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