Chatbot Building with Rasa

Chatbot Building with Rasa, available at $19.99, has an average rating of 3.85, with 29 lectures, based on 89 reviews, and has 498 subscribers.

You will learn about Understanding concepts of building chatbots with Rasa NLU, Rasa Core, DialogFlaw & Wit?ai Building chatbots for Facebook Messenger Buiding a chatbot that answers FAQs Deploying your chatbot in Heroku application platform This course is ideal for individuals who are Software Python developers looking to build chatbots for their websites and mobile apps or Developers of Facebook looking to build Massenger chatbots or Development professionals and students looking to learn how to use Rasa NLU, Rasa Core, DialogFlow and Wit-AI to build chatbots. It is particularly useful for Software Python developers looking to build chatbots for their websites and mobile apps or Developers of Facebook looking to build Massenger chatbots or Development professionals and students looking to learn how to use Rasa NLU, Rasa Core, DialogFlow and Wit-AI to build chatbots.

Enroll now: Chatbot Building with Rasa

Summary

Title: Chatbot Building with Rasa

Price: $19.99

Average Rating: 3.85

Number of Lectures: 29

Number of Published Lectures: 15

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 15

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Understanding concepts of building chatbots with Rasa NLU, Rasa Core, DialogFlaw & Wit?ai

Building chatbots for Facebook Messenger

Buiding a chatbot that answers FAQs

Deploying your chatbot in Heroku application platform

Who Should Attend

Software Python developers looking to build chatbots for their websites and mobile apps

Developers of Facebook looking to build Massenger chatbots

Development professionals and students looking to learn how to use Rasa NLU, Rasa Core, DialogFlow and Wit-AI to build chatbots.

Target Audiences

Software Python developers looking to build chatbots for their websites and mobile apps

Developers of Facebook looking to build Massenger chatbots

Development professionals and students looking to learn how to use Rasa NLU, Rasa Core, DialogFlow and Wit-AI to build chatbots.

Do you want to create a talking chatbot that interacts with your visitors? In this tutorial, you will learn how to create Python chatbots using Rasa NLU and Rasa Core. They provide several Natural Language processing functions that parse user input and match it to the right response. Integrating NLP into your bot can be difficult, but with Rasa, it is much easier to create a Facebook Messenger bot or a website chatbot.

Rasa is a powerful open-source machine learning framework for developers to create contextual chatbots and expand bots beyond answering simple questions. In this course, you will study both Rasa NLU and Rasa Core.

Rasa NLU is an open-source natural language processing tool for intent classification and entity extraction in chatbots. You can think of it as a set of high-level APIs for building your own language parser using existing NLP and ML libraries. Among the main reasons for using open-source NLU are: 1) you don’t have to hand over all your chatbot training data to Google, Microsoft, Amazon, or Facebook; 2) Machine Learning is not one-size-fits-all. You can tweak and customize Python chatbot models for your training data; and 3) Rasa NLU runs wherever you want, so you don’t have to make an extra network request for every chatbot message that comes in.

Rasa Core leverages developers’ existing domain knowledge to help them bootstrap from zero training data, and adopts an interactive learning approach. With Rasa Core, you manually specify all the things your bot can say and do. We call these actions. One action might be to greet the user, another might be to call an API, or query a database. Then you train a probabilistic model to predict which action your Python chatbot should take given the history of a chatbot conversation.

This Python chatbot course will help you:

Build chatbots with Python using Rasa NLU & Rasa Core

Understand intents and entities.

Build a Facebook Messenger bot.

Deploy chatbots on cloud platforms such as Heroku.

Course Curriculum

Chapter 1: Rasa NLU Python Chatbot

Lecture 1: Rasa Installation and Setup

Lecture 2: Rasa – Preparing Training Data & Training Model

Lecture 3: Rasa Interpretation Webhook Setup

Lecture 4: Facebook Application Setup

Lecture 5: Facebook Echo Setup

Lecture 6: Rasa – Interpreting Intents & Entities

Lecture 7: Rasa – Currency Conversion Chatbot

Lecture 8: Code Files: Final Rasa NLU Chatbot

Chapter 2: Rasa Core Python Chatbot – FAQs Chatbot

Lecture 1: Rasa Core Overview

Lecture 2: Rasa Getting Started

Lecture 3: Rasa – Preparing Training Data

Lecture 4: Facebook Application Setup

Lecture 5: Adding More Questions & Rasa Chatbot Testing

Lecture 6: Deployment to Heroku

Lecture 7: Code Files: Final Rasa Core Chatbot

Instructors

GoTrained Academy
eLearning Professionals

Faizan Ali
Freelance Computer Vision and NLP Consultant

Rating Distribution

1 stars: 15 votes

2 stars: 10 votes

3 stars: 19 votes

4 stars: 18 votes

5 stars: 27 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!