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Course Outline
Introduction to ChatBots
Overview of Conversational Software
Building Your First Basic ChatBot
- Setting Up Your ChatBot to Receive Text and Respond to Users
- Adding the Basic Elements of Personality
- Teaching Your ChatBot to Answer Basic Questions
- Adding Variety to Your ChatBot's Responses
- Making Your ChatBot Ask Questions
- Building Rule-Based Systems for Parsing Text
Using Machine Learning to Turn 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
- Intents and Entities and their Classifications
- Natural Language Processing Fundamentals Theory Refresher
- Building Models from Real-World Sentences Using the ATIS Dataset
Building Your Virtual Assistant ChatBot
- Overview of a Virtual Assistant
- Working with SQL in Python
- Teaching Your ChatBot to Access Data from a Database
- Writing Queries from Parameters
- Building a Database from Natural Language
- Implementing Custom Virtual Assistant Features on Your ChatBot
- Answering Specific Queries through Database Access
- Refining Search, Performing Basic Negation, and Filtering Data
Making Your ChatBot Stateful: Keeping Track of States of Interaction for Better ChatBot Dialogs
- Performing Basic Actions
- Asking Contextual Questions and Queuing Answers
- Dealing with Rejection
Testing and Deploying Your ChatBot
Troubleshooting
Summary and Conclusion
Requirements
- Python programming experience
21 Hours
