Build Chatbot using RASA 2x in 2021
Build Chatbot using RASA 2x in 2021, available at $39.99, has an average rating of 3.7, with 26 lectures, based on 114 reviews, and has 948 subscribers.
You will learn about Build creative and complex chatbots. Rasa framework Build stories applicable to any chatbot Custom actions in Chatbots Concepts on NLP How to prepare data for training chatbot model This course is ideal for individuals who are Students and working professionals or Python Developers who want to explore Chatbots or Developers who want to explore NLP concepts It is particularly useful for Students and working professionals or Python Developers who want to explore Chatbots or Developers who want to explore NLP concepts.
Enroll now: Build Chatbot using RASA 2x in 2021
Summary
Title: Build Chatbot using RASA 2x in 2021
Price: $39.99
Average Rating: 3.7
Number of Lectures: 26
Number of Published Lectures: 26
Number of Curriculum Items: 26
Number of Published Curriculum Objects: 26
Original Price: ₹1,199
Quality Status: approved
Status: Live
What You Will Learn
- Build creative and complex chatbots.
- Rasa framework
- Build stories applicable to any chatbot
- Custom actions in Chatbots
- Concepts on NLP
- How to prepare data for training chatbot model
Who Should Attend
- Students and working professionals
- Python Developers who want to explore Chatbots
- Developers who want to explore NLP concepts
Target Audiences
- Students and working professionals
- Python Developers who want to explore Chatbots
- Developers who want to explore NLP concepts
This course is all about replacing monotonous human conversations with Chatbots. “Build Chatbot using RASA 2x” is a project-based course wherein we build a chatbot for the university. This project consists of functionalities wherein the students or rather the users of the Chatbot can fetch marks and the attendance from the university database in real-time. It also has a validation of username & password in place for privacy aspect. Apart from fetching marks and attendance, it can answer FAQs.
The course consists of 6 chapters where each chapter has a dedicated purpose.
Chapter 1 – Introduction
Chapter 2 – Installation
Chapter 3 – Core of Rasa Framework
Chapter 4 – Significance of files
Chapter 5 – Building Chatbot
Chapter 6 – Deployment
You will learn concepts that are applicable to all the chatbots ranging from the Core of a framework to Deployment. In addition to that, you will also learn how to build logical chatbot stories. This course will equip you with the power of rasa and detailed concepts of chatbots which can be used to build any complex chatbot for any given industry.
You will be provided with all relevant files required for this project along with the Web Page used for deployment.
As a prerequisite for this course a basic understanding of the Python programming language is required as the framework (Rasa) used in this course will use Python.
Course Curriculum
Chapter 1: Chapter 1 – Introduction to Chatbots & Rasa
Lecture 1: Introduction
Lecture 2: Overview of project
Lecture 3: What is a framework
Lecture 4: Rasa Framework
Chapter 2: Chapter 2 – Installation
Lecture 1: Installation Part 1
Lecture 2: Installation Part 2
Lecture 3: Installation Part 3
Chapter 3: Chapter 3 – Core Elements of Chatbots
Lecture 1: Intents & Entities
Lecture 2: Response & Actions
Lecture 3: Stories
Chapter 4: Chapter 4 – Significance of files
Lecture 1: NLU.yml
Lecture 2: Domain.yml
Lecture 3: Stories.yml
Lecture 4: Other files
Chapter 5: Chapter 5 – Building Chatbot and it's logic
Lecture 1: Understanding our data
Lecture 2: Logic for our Chatbot
Lecture 3: Building story Part 1
Lecture 4: Building story Part 2
Lecture 5: Building NLU data
Lecture 6: Building Domain data
Lecture 7: Building Custom Action Part 1
Lecture 8: Building Custom Action Part 2
Lecture 9: Building Custom Action Part 3
Lecture 10: Building Custom Action Part 4
Lecture 11: Building Custom Action Part 5
Chapter 6: Chapter 6 – Deployment
Lecture 1: Deploying on Web Application
Instructors
-
Aqib Ahmed
Senior Automation Engineer
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 6 votes
- 3 stars: 15 votes
- 4 stars: 36 votes
- 5 stars: 51 votes
Frequently Asked Questions
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