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Course Outline

Foundations of AI Agents and Chatbots

  • Defining AI agents
  • Chatbot categories: Rule-based versus AI-driven
  • Chatbot applications across various sectors

Introduction to Natural Language Processing (NLP)

  • Overview of NLP and its function in chatbots
  • Techniques such as tokenization, stemming, and lemmatization
  • Comprehending intents and entities

Strategizing Your Chatbot

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

Creating Your First Chatbot

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

Enhancing Chatbot Performance

  • Incorporating fallback and error-handling strategies
  • Augmenting responses through external APIs
  • Conducting testing and debugging for your chatbot

Launching Your Chatbot

  • Hosting the chatbot on a local server
  • Connecting the chatbot to messaging platforms
  • Guaranteeing scalability and optimal performance

Ethical Frameworks and Best Practices

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

Investigating Advanced Chatbot Capabilities

  • Applying machine learning for richer conversations
  • Integrating sentiment analysis
  • Introduction to advanced frameworks such as Rasa

Conclusion and Future Directions

Requirements

  • Foundational programming knowledge
  • Proficiency with Python syntax
  • Strong interest in learning AI technologies

Target Audience

  • Individuals new to AI
  • Programmers
  • Enthusiasts exploring the realms of chatbots and AI agents
 14 Hours

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