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Course Outline

Introduction to Chatbots

Overview of Conversational Software

Creating Your First Basic Chatbot

  • Configuring Your Chatbot to Receive Input and Respond to Users
  • Incorporating Basic Personality Traits
  • Training Your Chatbot to Answer Fundamental Questions
  • Diversifying 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

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

Developing Your Virtual Assistant Chatbot

  • Overview of a Virtual Assistant
  • Working with SQL in Python
  • Teaching Your Chatbot to Retrieve Data from a Database
  • Generating Queries Based on Parameters
  • Creating a Database Structure from Natural Language
  • Implementing Custom Virtual Assistant Features for Your Chatbot
    • Addressing Specific Queries via Database Access
    • Enhancing Search Capabilities, Implementing Basic Negation, and Filtering Data

Making Your Chatbot Stateful: Managing Interaction States for Improved Dialogue

  • Executing Basic Actions
  • Asking Contextual Questions and Managing Answer Queues
  • Handling Rejections

Testing and Deploying Your Chatbot

Troubleshooting

Summary and Conclusion

Requirements

  • Prior experience with Python programming
 21 Hours

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