December 05 2019

Build your Chatbot with Rasa NLU and Rasa Core

Build your Chatbot with Rasa NLU and Rasa Core
Created by RASA TUTORIALS | Last updated 11/2019
Duration: 1.5 hours | Video: h264, 1280x720 | Audio: AAC, 44 KHz, 2 Ch | 1.1 GB
Genre: eLearning | Language: English + Sub | 7 lectures

What you'll learn

How to Build your assistant with Rasa Open Source

Installation of RASA

Command Line Interface


Running the Server

Choosing a Pipeline

create Stories


create Actions

Create Slots

Create Forms




For the first time, our team will pay you for each correct answer you give for each student's question in the course.
So, Make money just by sharing your knowledge with another students.
IMPORTANT : Each month, one student will gain 200$ ( randomly) and we will share the name of the winner in the course and by email to all students enrolled.
This course will be as a platform for RASA courses, books, tutorials and community for questions and answers.
This is your chance to learn and make money in the same time.
Notice: you will benefit from the 200$ only if you give a 5 stars review (200$ only for satisfied students). But if you are not satisfied you can refund your money in less than 5 mins.
----------------------------------------------------Why RASA : --------------------------------------------------
Rasa Open Source is a conversational AI framework for building contextual assistants.
Rasa Open Source includes
NLU: determines what the user wants and captures key contextual information
Core: selects the next best response or action based on conversation history
Channels and integrations: connect assistant to users and backend systems
Rasa X is a toolset used to improve a contextual assistant built using Rasa Open Source.
Must of this course is based on the official course of rasa , here are  all references:
youtube's channel of RASA
blog of rasa
The goal of this course is to create the future together !
NOTE : this couse will be updated for each week, we will add tutorials, books, project's code and we will be happy to share your ideas with your name in the official course.

Who this course is for:


natural language processing

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