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Course Outline

Introduction to Chatbots

Overview of Conversational Software

Developing Your First Basic Chatbot

  • Configuring Your Chatbot to Receive Text and Respond to Users
  • Incorporating Fundamental Personality Traits
  • Training Your Chatbot to Answer Basic Questions
  • Adding Variety to Chatbot 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 Chatbots

  • 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 Using Real-World Sentences from the ATIS Dataset

Constructing Your Virtual Assistant Chatbot

  • Overview of Virtual Assistants
  • Working with SQL in Python
  • Training Your Chatbot to Retrieve Data from a Database
  • Writing Queries Based on Parameters
  • Creating a Database from Natural Language Input
  • Implementing Custom Virtual Assistant Features
    • Addressing Specific Queries via Database Access
    • Enhancing Search, Performing Basic Negation, and Filtering Data

Enhancing Chatbot Interactivity: Managing Interaction States for Improved Dialogues

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

Testing and Deploying Your Chatbot

Troubleshooting

Summary and Conclusion

Requirements

  • Prior experience with Python programming
 21 Hours

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