Building Chatbots in Python Training Course

Course Code

chatbotpython

Duration

21 hours (usually 3 days including breaks)

Requirements

  • Python programming experience

Overview

ChatBots are computer programs that automatically simulate human responses via chat interfaces. ChatBots help organizations maximize their operations efficiency by providing easier and faster options for their user interactions.

In this instructor-led, live training, participants will learn how to build chatbots in Python.

By the end of this training, participants will be able to:

  • Understand the fundamentals of building chatbots
  • Build, test, deploy, and troubleshoot various chatbots using Python

Audience

  • Developers

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Note

  • To request a customized training for this course, please contact us to arrange.

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

Testimonials

★★★★★
★★★★★

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