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RASA CHATBOT

5,999.00

Description

Rasa Chatbot Training
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1. Introduction
– Introduction to chatbots
– What is NLP
2. Setting up the environment and Installation
– Creating an environment
– Installing all the packages and dependencies for rasa chatbot
3. Migrating from Rasa 1.x to 2.x
4. Building your first Rasa chatbot with UI
– Build a simple chatbot with full functionality with UI
5. Understanding NLU and CORE
6. Choosing a pipeline
7. Components
8. Entity Extraction
9. Stories
– Creating stories for the bot
– Adding checkpoints
10. Domain
– Understanding the flow of domain
– Adding Entities, intents, slots, etc
– Adding images, buttons, etc to the response
11. Responses
– Adding the static Bot’s response
– Adding the dynamic bot’s response
12. Actions
– Adding dynamic link to the bots reply
– Adding the dynamic buttons through an API
– Updating the Excel sheets with custom actions
13. Slots
– How to fill the slots
14. Forms
– Creating the form with slot prefrences
– Filling the slots with input from user without an intent
– Correct way to write story with the forms
15. Interactive Learning
– Creating the stories in interactive mode
16. Api integration with Rasa chatbot
– Updating and reading data from Firebase database in real-time
17. Storing collected data to database
– Read data from database
– Write Data to the database
– Update Data to the database
18. Duckling in Rasa
– Entitiy extraction for,
– Date
– Number
– Amount
19. Integrating rasa chatbot to facebook messenger
– Setting up the rasa bot on to the facebook messenger for automation.
20. Reminder and External Events
– Setting up a remainder with rasa chatbot
21. Fallback actions
– FallbackPolicy
– TwoStageFallbackPolicy
22. Deployment of rasa chatbot to the live server
– Deployment to the Heroku server
– Deployment to GCP (Google cloud platform)
– Deployment of Rasa chatbot to any website through Socket.io
23. How to connect rasa chatbot to whatsapp
24. How to automate rasa chatbot to send text messages.

Projects:
1. Home Automation with rasa chatbot
2. Deploy rasa chatbot to your custom website
3. Deploy Rasa chatbot on to a global server

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