Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 28 Minute(s)
Language
English
Taught by
Sujithkumar MA, Harini S
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
Course Overview
Build an AI Chatbot using the concepts of Natural Language Processing
Welcome! Anyone interested in learning how to build their own chatbots using natural language processing (NLP) methods should take this course. The fundamentals of NLP and how chatbot creation uses it will be covered.
You will acquire practical experience during the course creating your own chatbot using well-known NLP libraries and frameworks like NLTK. You'll discover how to use intents, entities, and action to train your model.
Additionally, you will discover the various varieties of chatbots, including rule-based, retrieval-based, and generative ones. You will also discover how chatbots are evaluated.
A chatbot is a computer program designed to simulate conversation with human users, especially over the Internet. They can be integrated into various platforms such as websites, mobile apps, messaging apps, and more. They are commonly used for customer service, providing information, or automating repetitive tasks.
Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and humans in natural language. It involves using techniques from computer science, artificial intelligence, and linguistics to process, analyze, and generate human language. NLP tasks include speech recognition, natural language understanding, sentiment analysis, text summarization, machine translation, and more. NLP techniques are used in many applications such as chatbots, virtual assistants, and language translation software.
These are the contents of this course
Fundamentals of Chatbots
Types of chatbots - Rule based, AI based
Fundamentals of NLP
NLP Techniques - Stemming, Lemmatization, Bag of Words, TF-IDF, Cosine Similarity
Rule based chatbots – Implementation
NLP Wordnet – Implementation
NLP Incorporated chatbots – Implementation
Dynamic Web Surfing Chatbots – Implementation
Projects:
1. Building a rule based chatbot
2. Building an NLP based chatbot
3. Building a dynamic web surfing chatbot
Course Content
- 9 section(s)
- 33 lecture(s)
- Section 1 Introduction
- Section 2 Concepts, Types and Modes of Chatbots
- Section 3 Concepts of Natural Language Processing and its Toolkit
- Section 4 Steps in developing a NLP based Chatbot
- Section 5 Project - Implementation of an NLP based Chatbot
- Section 6 Dynamic API + NLP Bots!
- Section 7 AI Based Chatbots
- Section 8 AI Based Chatbot - Implementation
- Section 9 Practice Test
What You’ll Learn
- Fundamentals of chatbot design
- Understanding the concepts of NLP
- Implementation of Rule based chatbot
- Implementation of NLP based self learning bot
Skills covered in this course
Reviews
-
HHamza Abdiaziz Muhumed wali
this course very perfect
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SSweta Bhattacharjee
Good teaching . Seems to be very interesting
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RRahul Dantkale
Overall I very much liked the content, but towards the end it seemed very rushed job to complete the course. If the last lecture could be bifurcated into two or more sub lectures with a little bit more explanation, it will definitely be very helpful. Its a very good course for people who want to learn about Chatbots and how they are implemented. It very much clears the basic concept so that one can develop their projects over this base of knowledge. Cheers to the tutor very well explained :-)
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CChethan U
More practical samples required
