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What you'll learn?
- 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
Course Overview
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
Pre-requisites
- Basic understanding of python
- Basics of Natural Language Programming
- Basics Knowledge in Rasa (Optional)
Target Audience
- 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
Curriculum 22 Lectures 02:27:41
-
Section 1 : Introduction
-
Section 2 : Rasa Introduction
- Lecture 1 :
- Rasa Introduction
- Lecture 2 :
- Rasa Components
- Lecture 3 :
- Software Installation Rasa
- Lecture 4 :
- Rasa Initialization
-
Section 3 : Sample chatbot creation
- 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
- 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
- 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
- Lecture 1 :
- Final Chatbot Project
- Lecture 2 :
- Final Chatbot Project_2
- Lecture 3 :
- Closure
Our learners work at
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Instructor
525 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.
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