Develop Rasa Chatbots with Python and GPT-3

Rasa Chatbot development using Python and Open AI GPT-3

Building AI-Chatbot with Python and Open AI GPT-3 model from scratch

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Last Updated: 2024-12-26 07:12:20 English Course Type: Self Learning

What is Rasa? What are the components in Rasa?
What is NLU(Natural Language Understanding) and why it is required?
Creating Chat bot using CLI(Command line interface)
Connecting to other API’s through Rasa
How to use Open-AI GPT-3 model inside Rasa chatbot
Creating API using Flask and hosting it in your local machine
Connecting Flask API to Rasa webchat
Advanced concepts like duckling entity extraction ,reminder scheduler

This course provides an introduction to Rasa chatbot development using Python and Open AI GPT3 model. The course covers all the fundamentals of chatbot development.

As Rasa is an open source framework for building contextual AI assistants. You will learn how to create and train Rasa NLU models to extract intents and entities from incoming user messages.

The course will also cover topics such as creating custom slots, forms, stories using conversational flows and also some of the concepts such as connecting to duckling entity extractor , reminder scheduler , saving the conversation and creating .bat files to run ,host the servers and how to use rasa webchat to connect to rasa sever.

It also Includes how to build and host a Rasa chatbot on your local machine, how to use machine learning and natural language processing (NLP) to understand user input, and how to use Open AI GPT3 to make the chatbot more intelligent.

With very basic coding skills needed any beginner in programming can get along with the course and learn how to build advanced chatbots!.

Through hands-on activities, participants will gain practical experience in creating and hosting their own Rasa chatbot. At the end of the course, participants will have the skills and knowledge necessary to build and host their own Rasa chatbot

Basic understanding of python
Basics of Natural Language Programming
Basics Knowledge in Rasa (Optional)

Beginners in Rasa Chatbot development who want develop chatbot for free
NLP enthusiasts who are curious to use GPT-3 model inside Chatbot
Python Developers who curious about AI-Chatbot using open source libraries

Section 1 : Introduction 1 Lectures 00:01:54
Lecture 1 :
Introduction Preview
Section 2 : Rasa Introduction 4 Lectures 00:19:44
Lecture 1 :
Rasa Introduction
Lecture 2 :
Rasa Components
Lecture 3 :
Software Installation Rasa
Lecture 4 :
Rasa Initialization
Rasa playground : https://rasa.com/docs/rasa/playground Rasa CLI :https://rasa.com/docs/rasa/command-line-interface
Section 3 : Sample chatbot creation 8 Lectures 00:59:20
Lecture 1 :
Rasa Sample bot creation
Lecture 2 :
Rasa Actions, endpoints
Lecture 3 :
Sample chatbot for Flight booking
Lecture 4 :
Sample chatbot for Flight booking_2
Lecture 5 :
Sample chatbot for Flight booking_3
Lecture 6 :
Sample chatbot for Flight booking_4
Lecture 7 :
Sample chatbot for Flight booking_5
Lecture 8 :
Sample chatbot for Flight booking_6
Section 4 : Connecting to Open AI GPT_3 model 3 Lectures 00:22:55
Lecture 1 :
Connecting to GPT_3 model
Lecture 2 :
Connecting to GPT_3 model_2
Lecture 3 :
Connecting rasa webchat
Section 5 : Advanced concepts in Rasa 3 Lectures 00:16:55
Lecture 1 :
Advanced concepts ,Duckling entity extractor and Reminder Scheduler
Lecture 2 :
Reminder scheduling
Lecture 3 :
Changing default ports
Section 6 : Final Project in Rasa 3 Lectures 00:26:53
Lecture 1 :
Final Chatbot Project
Lecture 2 :
Final Chatbot Project_2
Lecture 3 :
Closure

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Shambulingaiah B M,

956 Course Views

1 Courses

I am Data Scientist by professions having degree in Mechanical engineering and passionate about teaching. I have experience in the field of data science, machine learning, python, predictive maintenance ,NLP, and AI-Chatbot development. For the past one year I have been working in developing AI-Chatbot technology. I have worked in Robert Bosch previously on predictive maintenance of bearings and also fault classification. Apart from Data Science, I spend my time learning new things and focusing on my goals. I am Hobby Photographer, I will take good pictures and also making some video editing stuffs and you can check out some videos in the youtube.