Get in Touch

Course Outline

Intro to AI Agents and Chatbots

  • The definition of AI agents
  • Chatbot categories: Rule-based vs AI-driven
  • Chatbot applications across various sectors

Foundations of Natural Language Processing (NLP)

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

Planning Your Chatbot

  • Establishing the purpose and boundaries of your chatbot
  • Structuring conversational pathways
  • Generating training datasets for chatbot replies

Creating Your First Chatbot

  • Configuring the development environment
  • Constructing a basic chatbot using Python and Flask
  • Incorporating fundamental NLP features for dialogue

Enhancing Chatbot Performance

  • Introducing fallback and error management systems
  • Refining responses through external APIs
  • Testing and troubleshooting your chatbot

Launching Your Chatbot

  • Hosting your chatbot on a local server
  • Connecting the chatbot with messaging platforms
  • Guaranteeing scalability and efficiency

Ethical Implications and Best Practices

  • Safeguarding user data privacy and security
  • Developing inclusive and impartial chatbots
  • Maintaining transparency in AI interactions

Exploring Advanced Chatbot Capabilities

  • Leveraging machine learning for richer conversations
  • Integrating sentiment analysis
  • An introduction to advanced frameworks like Rasa

Recap and Future Steps

Requirements

  • Fundamental programming knowledge
  • Proficiency with Python syntax
  • A strong drive to explore AI technologies

Target Audience

  • Newcomers to AI
  • Programmers
  • Enthusiasts investigating chatbots and AI agents
 14 Hours

Related Categories