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Course Outline

Introduction to AI Agents and Chatbots

  • Definition and role of AI agents
  • Chatbot typology: Rule-based versus AI-driven
  • Industry applications of chatbots

Foundations of Natural Language Processing (NLP)

  • Overview of NLP and its function in chatbots
  • Tokenization, stemming, and lemmatization
  • Comprehending intents and entities

Planning Your Chatbot

  • Establishing the purpose and scope of the chatbot
  • Architecting conversational flows
  • Compiling training datasets for chatbot responses

Developing Your First Chatbot

  • Configuring the development environment
  • Constructing a basic chatbot with Python and Flask
  • Integrating foundational NLP capabilities for dialogue

Optimizing Chatbot Performance

  • Implementing 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
  • Ensuring scalability and optimal performance

Ethical Considerations and Best Practices

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

Advanced Chatbot Features

  • Leveraging machine learning for enhanced conversations
  • Incorporating sentiment analysis
  • Overview of advanced frameworks such as Rasa

Summary and Next Steps

Requirements

  • Foundational understanding of programming
  • Adequacy with Python syntax
  • Enthusiasm for exploring AI technologies

Target Audience

  • Novices in AI
  • Programmers
  • Enthusiasts exploring chatbots and AI agents
 14 Hours

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