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
Testimonials (3)
The theoretical content
Valeria Juarez Sanchez - TDR Transportes
Course - Automation Anywhere A360
Machine Translated
What adapted to what I needed to learn
Amelia Munoz Merino - Enaex S.A.
Course - Implementación de Automatización de Procesos Robótica (RPA) con Automation Anywhere
Machine Translated
It was very hands on and the trainer provided us with all the clarification. And he also provided us with a lot of documents which is amazing.