NLP - Building your own chatbots

person icon Sujithkumar M A

NLP - Building your own chatbots

"AI at your service: Build Your Personal Chatbot Companion using NLP"

updated on icon Updated on Nov, 2023

language icon Language - English

person icon Sujithkumar M A

architecture icon Chatbot,Artificial Intelligence,Machine Learning,Development,Data Science

Lectures -24

Duration -2.5 hours


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Course Description

Discover the world of chatbot development with NLP! Join our course to learn the fundamentals of NLP and its role in creating chatbots. Gain hands-on experience building chatbots using popular NLP libraries like NLTK. Explore different types of chatbots, including rule-based, retrieval-based, and generative models. Understand how chatbots are evaluated and their practical applications in customer service, information provision, and task automation.

In this course, you'll cover:

  1. Fundamentals of Chatbots
  2. Types of Chatbots - Rule-based and AI-based
  3. Fundamentals of NLP
  4. NLP Techniques - Stemming, Lemmatization, Bag of Words, TF-IDF, Cosine Similarity
  5. Implementation of Rule-based Chatbots
  6. Implementation of NLP Wordnet
  7. Implementation of NLP-incorporated Chatbots
  8. Implementation of Dynamic Web Surfing Chatbots

Projects included:

  1. Building a Rule-based Chatbot
  2. Building an NLP-based Chatbot
  3. Building a Dynamic Web Surfing Chatbot

Join us and gain the skills to create intelligent chatbots using NLP techniques!


What will you learn in this course:

The goals of this course are:

  • Understand the fundamentals of chatbots and their different types, including rule-based and AI-based chatbots.
  • Gain a solid understanding of Natural Language Processing (NLP) and its techniques, such as stemming, lemmatization, Bag of Words, TF-IDF, and Cosine Similarity.
  • Acquire practical experience by implementing rule-based chatbots and incorporating NLP Wordnet.
  • Learn to create chatbots that leverage NLP techniques for enhanced language understanding and response generation.
  • Explore the implementation of NLP-incorporated chatbots, allowing for more intelligent and context-aware conversations.
  • Develop skills in building dynamic web surfing chatbots, enabling them to interact with and retrieve information from the web.
  • Engage in hands-on projects to build a rule-based chatbot, an NLP-based chatbot, and a dynamic web surfing chatbot.
  • Gain insights into the evaluation process for chatbots and understand how to assess their performance.

By the end of this course, you will have the knowledge and practical skills to design, develop, and evaluate chatbots using NLP techniques, opening up opportunities to create intelligent conversational agents for various applications.


What are the prerequisites for this course?

  • No Prerequisites, but a little knowledge in Python would help
NLP - Building your own chatbots


Check out the detailed breakdown of what’s inside the course

2 Lectures
  • play icon Introduction 02:21 02:21
  • play icon Basics of Chatbots and conversation 06:12 06:12
Concepts, Types and Modes of Chatbots
5 Lectures
Concepts of Natural Language Processing and its Toolkit
5 Lectures
Steps in developing a NLP Chatbot
6 Lectures
Project - Implementation of an NLP based Chatbot
5 Lectures
Dynamic Web Surfing Bots
1 Lectures

Instructor Details

Sujithkumar M A

Sujithkumar M A

Languages - C, C++, Python, Verilog, System Verilog

Hardware - Digital Logic Design, Computer Architecture, VLSI Design, Analog Electronics, Signal Processing, Embedded Systems

Software - Data Structures & Algorithms, Operating Systems, Database Management Systems,  Computer Networks, Machine Learning, Deep Learning.

Tools - Xilinx Vivado, Matlab, Multisim, Altium, Arduino IDE, TinkerCAD, Tanner EDA, Cadence Virtuoso

Boards - Arduino, 8051, TIVA, Raspberry Pi, NodeMCU

Areas of Interest - Artificial Intelligence, Digital Design, Software Engineering, Algorithms

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