Complete Chatbot Course Using Rasa Framework & Python
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Complete Chatbot Course Using Rasa Framework & Python at UDEMY Overview
Duration | 8 hours |
Total fee | ₹649 |
Mode of learning | Online |
Credential | Certificate |
Complete Chatbot Course Using Rasa Framework & Python at UDEMY Highlights
- Earn a certificate of completion from Udemy
- Learn from 20 downloadable resources
- Get full lifetime access of the course material
- Comes with 30 days money back guarantee
Complete Chatbot Course Using Rasa Framework & Python at UDEMY Course details
- For Beginner Data Scientists
- For Experienced Data Scientists
- For Software Engineers
- For People interested in the latest cutting-edge Chatbot technologies
- For People with beginner python or coding knowledge
- Build a Chatbot from Scratch using Python
- Learn about the Rasa Framework
- Deploy your chatbot on the Cloud
- Connect your chatbot to Facebook, Telegram
- Learn how to use Custom Models
- Learn Rasa NLU to understand user inputs
- Learn Rasa Core for Dialogue Management of the Users
- Learn how to handle Small talk
- Learn how to use in-built Deep learning models or Bring your own Model in Rasa NLU
- Map your domain to your Rasa Server
- The most in-demand skill for any Data Scientist right now is creating a chatbot to handle conversations with user
- The course is designed to teach you how to create a chatbot which can help users with suggestions of laptops and phones from amazon right from the creation of first file to the deployment on platforms like Facebook and Telegram
- Learn the most flexible and fastest growing Chatbot Framework out there! Rasa is an open source framework which doesn't charge you anything
- The course has given major emphasis on practicality and application of all the concepts taught
Complete Chatbot Course Using Rasa Framework & Python at UDEMY Curriculum
Introduction
Why Chatbots
Why Rasa?
Whats Rasa?
Installing Python and Rasa on Windows
RASA Natural Language Understanding (NLU)
1.Introduction - RASA Natural Language Understanding (NLU) - Intents & Entities
2. Writing Intents & Entities Examples - Training Data - NLU
3. Rasa NLU Pipeline Introduction
4. Defining NLU Pipeline in Config File
5. Training our first Rasa NLU model
6. Rasa NLU Entity Synonyms & Lookup Tables Part 1
7. Rasa NLU Entity Synonyms & Lookup Tables Part 2
Rasa NLU - Custom Components
1. Introduction to Custom Components in Rasa NLU
2. Introduction to Transfer Learning & Pre-trained Word embeddings
3. Training an Embedding Model Word2Vec
4. Using Custom Word2Vec Pre-trained model in the RASA NLU Pipeline
5. Introducing Custom Component Class - Profanity Filter Part 1
6. Introducing Custom Component Class - Profanity Filter Part 2
Defining Give Information Intent
Introduction to Rasa Core
1. Introduction to Rasa Core
2. Defining Custom Actions
3. Rasa Core - Stories
4. Rasa Core - The Domain
5. Defining Stories & Running the Action Server Demo
Rasa Core - Rules
Dialogue Policies
1. Rasa Core - Introduction to Dialogue Policies
2. Types of Dialogue Policies - Memoization & Mapping Policy
3. Types of Dialogue Policies - Machine / Deep Learning & Fallback Policy
4. Dialogue Policies Priority & Ranking
5. Defining Policies in Config File
Slots - Bots Memory
1. Rasa Slots - Introduction
2. Type of Slots
3. Setting & Getting Slots Part 1
3. Setting & Getting Slots Part 2
5. Slots - Things to Remember
Complete Chatbot Course Using Rasa Framework & Python at UDEMY Faculty details
Complete Chatbot Course Using Rasa Framework & Python at UDEMY Entry Requirements
- Prerequisite: Basic knowledge of Python
- Basic Programming or IT Knowledge
- Not mentioned
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