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Course Outline

Introduction to Chatbots

Overview of Conversational Software

Developing Your First Basic Chatbot

  • Configuring Your Chatbot to Receive Text Input and Respond to Users
  • Incorporating Basic Personality Elements
  • Training Your Chatbot to Answer Fundamental Questions
  • Introducing Variety into Your Chatbot's Responses
  • Enabling Your Chatbot to Ask Questions
  • Developing Rule-Based Systems for Text Parsing

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

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

Constructing Your Virtual Assistant Chatbot

  • Overview of a Virtual Assistant
  • Working with SQL in Python
  • Teaching Your Chatbot to Access Database Data
  • Generating Queries from Parameters
  • Constructing a Database from Natural Language
  • Implementing Custom Virtual Assistant Features in Your Chatbot
    • Addressing Specific Queries via Database Access
    • Refining Search, Performing Basic Negation, and Filtering Data

Making Your Chatbot Stateful: Tracking Interaction States for Enhanced Dialogues

  • Executing Basic Actions
  • Asking Contextual Questions and Queuing Responses
  • Handling Rejection Scenarios

Testing and Deploying Your Chatbot

Troubleshooting

Summary and Conclusion

Requirements

  • Prior experience with Python programming
 21 Hours

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