Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
2 Hour(s) 12 Minute(s)
Language
English
Taught by
Aqib Ahmed
Rating
Course Overview
Let's build a university Chatbot that will fetch attendance, marks in real-time. Also, it will be able to answer FAQs.
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 Content
- 6 section(s)
- 26 lecture(s)
- Section 1 Chapter 1 - Introduction to Chatbots & Rasa
- Section 2 Chapter 2 - Installation
- Section 3 Chapter 3 - Core Elements of Chatbots
- Section 4 Chapter 4 - Significance of files
- Section 5 Chapter 5 - Building Chatbot and it's logic
- Section 6 Chapter 6 - Deployment
What You’ll 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
Skills covered in this course
Reviews
-
FFarwa Waqar
Coach should have telll about how he is loading data into SQLlite
-
MMichael Steinman
The instructor does a great job of explaining the concepts. He doesn't just dictate what is to be done, he helps us really understand what we are doing. Overall, I was happy with this course. My critiques are as follows: I wish he included forms and slots. I wish he would have spent at least one lesson teaching how the tracker works and how to extract information from it. Also, it would have been nice to learn how to train, and extract entities (but maybe that's for a more advance course).
-
RRitesh Mahajan
just a very basic course. You can get better material on youtube for free.
-
RRahul
1. Rasa installation and python didn't show live 2. At initial video , i saw Venv folder was available in pycharm project directory however in next video i dont see venv directory in pycharm. this cause confusion on installation of rasa on directory path. 3. everything on coding side is high level view , specially config.yml file seems to be key one but no proper explanation on that. 4. after training the model , there is no step mentioned of running the rasa model locally . i still need to know command need to run my chatbot after training done. 5. i tested resources file provided for chatbot and ran those files. it has many bugs ex: when you open Home.html bot is running and giving proper answer to first question after that i dont see response . i have to close html page and reload it to check . conclusion : poor tutorial with no detail explaination.
