Course Outline

Introduction to AI Agents and Chatbots

  • What are AI agents?
  • Types of chatbots: Rule-based vs AI-driven
  • Applications of chatbots in various industries

Basics of Natural Language Processing (NLP)

  • Overview of NLP and its role in chatbots
  • Tokenization, stemming, and lemmatization
  • Understanding intents and entities

Planning Your Chatbot

  • Defining the purpose and scope of your chatbot
  • Designing conversational flows
  • Creating training datasets for chatbot responses

Developing Your First Chatbot

  • Setting up the development environment
  • Building a simple chatbot using Python and Flask
  • Implementing basic NLP features for conversation

Improving Chatbot Performance

  • Adding fallback and error-handling mechanisms
  • Enhancing responses with external APIs
  • Testing and debugging your chatbot

Deploying Your Chatbot

  • Hosting your chatbot on a local server
  • Integrating the chatbot with messaging platforms
  • Ensuring scalability and performance

Ethical Considerations and Best Practices

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

Exploring Advanced Chatbot Features

  • Using machine learning for improved conversations
  • Incorporating sentiment analysis
  • Overview of advanced frameworks like Rasa

Summary and Next Steps

Requirements

  • Basic knowledge of programming
  • Familiarity with Python syntax
  • Eagerness to learn about AI technologies

Audience

  • AI beginners
  • Programers
  • Enthusiasts exploring chatbots and AI agents
 14 Hours

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Price per participant

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