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Course Outline

Introduction to Chatbots

Overview of Conversational Software

Developing Your First Basic Chatbot

  • Configuring Your Chatbot to Receive Input and Respond to Users
  • Incorporating Basic Personality Traits
  • Training Your Chatbot to Answer Simple Questions
  • Enhancing Variety in Chatbot Responses
  • Enabling Your Chatbot to Ask Questions
  • Constructing Rule-Based Systems for Text Parsing

Utilizing Machine Learning to Convert Natural Language into Structured Data for Your Chatbot

  • Overview of SpaCy, Scikit-learn, and Rasa NLU
  • Installing and Configuring SpaCy, Scikit-learn, and Rasa NLU
  • Understanding Intents, Entities, and Their Classifications
  • Refresher on Natural Language Processing Fundamentals
  • Creating Models from Real-World Sentences Using the ATIS Dataset

Building Your Virtual Assistant Chatbot

  • Overview of Virtual Assistants
  • Working with SQL in Python
  • Training Your Chatbot to Retrieve Data from a Database
  • Generating Queries from Parameters
  • Constructing a Database via Natural Language
  • Implementing Custom Virtual Assistant Features on Your Chatbot
    • Answering Specific Queries by Accessing the Database
    • Refining Search Results, Performing Basic Negation, and Filtering Data

Making Your Chatbot Stateful: Tracking Interaction States for Enhanced Dialogue

  • Executing Basic Actions
  • Asking Contextual Questions and Managing Queued Answers
  • Handling Rejections

Testing and Deploying Your Chatbot

Troubleshooting

Summary and Conclusion

Requirements

  • Prior experience with Python programming
 21 Hours

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