A Crash Course to Build Your Own Chatbot
A Crash Course to Build Your Own Chatbot
Beginner
4 Hrs
Learn the essentials of creating your chatbot from scratch using Python and ChatGPT.
Learn the essentials of creating your chatbot from scratch using Python and ChatGPT.
Overview
Welcome to the course on Chatbot Development! In this course, we will embark on an exciting journey into the realm of chatbot technology, where we will explore various approaches to building intelligent conversational agents. From simple rule-based chatbots to sophisticated AI-powered models, we will delve into the foundations and techniques behind creating engaging and interactive chatbot experiences. You'll gain a strong grasp of fundamental concepts, components, and development challenges, empowering you to make informed decisions in chatbot creation.
Moving forward, we explore rule-based chatbots, harnessing the Artificial Intelligence Markup Language (AIML) to craft conversational agents for basic interactions. Hands-on projects offer practical experience in building such chatbots from scratch. Transitioning to Python, we dive into AI-driven chatbots, unveiling the potential of Natural Language Processing (NLP) techniques and libraries like NLTK and spaCy. You'll master text classification, entity recognition, sentiment analysis, and more, enabling your chatbots to intelligently comprehend and respond to user input. Lastly, we introduce you to ChatGPT, an advanced OpenAI language model. Discover how to seamlessly integrate ChatGPT into your projects, leveraging its powerful language generation capabilities. With this knowledge, you'll create chatbots capable of dynamic, context-aware conversations by harnessing large-scale pre-training and fine-tuning methods.
By the end of this course, you will have the knowledge and tools necessary to build your own chatbots with hands-on experience, ranging from simple rule-based systems to advanced AI-powered models.
What You Will Learn
- Understand the basics of chatbot technology, including its introduction, historical context, and architectural foundations.
- Explore the evolution and significance of Large Language Models in the world of chatbot development.
- Implement AIML language to create rule-based chatbots capable of engaging in fundamental conversations.
- Build AI-driven chatbots using Python, leveraging essential Natural Language Processing (NLP) techniques and libraries like NLTK and spaCy.
- Integrate and deploy ChatGPT-powered chatbots, enabling dynamic and context-aware conversations through advanced language generation capabilities.
Prerequisites
- Basic IT knowledge
Content
Chapter 1: Chatbot Introduction
5 Videos
History and Architecture Machine Learning Natural Language Processing Summary and Prospective $7 Million Cybersecurity Scholarship by EC-Council Chapter 1 Quiz
Preview
Chapter 2: Building Rule-Based Chatbots
3 Videos
Rule-base Chatbot Artificial Intelligence Markup Language (AIML) Language Building a Rule-based Chatbot Chapter 2 Quiz
Preview
Chapter 3: AI Chatbot Using Python
4 Videos
Machine Learning in Python Natural Language Processing in Python Intention Prediction Building Chatbot in Python Chapter 3 Quiz
Preview
Chapter 4: AI Chatbot By ChatGPT
3 Videos
ChatGPT Introduction Prompt Engineering ChatGPT-Based Chatbot Implementation & Deployment Chapter 4 Quiz
Preview
Instructor
Harry Zhang
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