Artificial Intelligence Chatbot

Name: Artificial Intelligence Chatbot
Rating: 4.2 (8 reviews)

A Crash Course To Build Your Own AI Chatbot

Created byHarry Zhang

Last updated 12/2024

English

English [Auto],

What you'll learn

Gain a comprehensive understanding of chatbot technology
Design and implement rule-based chatbots using AIML
Build AI-driven chatbots with python Machine Learning and Natural Language Processing (NLP) technology
Integrate ChatGPT for advanced chatbot development
Deploy developed chatbot as a conversation UI so it can be shared with friends and family

Course content

4 sections • 14 lectures • 3h 21m total length

Chatbot Introduction7:50
A general introduction on course content and objectives
Machine Learning9:44
Explore how machine learning powers chatbot development, enabling natural language understanding and generation with supervised, unsupervised, and reinforcement learning, including naive Bayes, decision trees, SVM, neural networks.
Natural Language Processing11:09
Explore natural language processing for chatbot development, comparing bag of words and word embeddings, and detailing tokenization, vocabulary, stopwords, tf-idf, stemming, lemmatization, and transformers with self-attention for contextual meaning.
Chatbot Technology Summary and Perspectives3:14
Explore large language model chatbots and prompt engineering to guide instruction, context, and data formats. Discover applications in code generation, information extraction, question answering, sentiment analysis, and future image understanding.

Rule-Based Chatbot Introduction8:30
Learn To Script In AIML19:28
Learn to build rule-based chatbots with AIML, using an XML structure featuring ai ml, category, pattern, and template tags, plus wildcards, random, and predicates, tested in Python with VS Code.
Build Rule-Based Chatbot Using AIML35:20
Build a rule-based chatbot using AIML on Pandora Bots, test in real time, and craft greetings and topic-based conversations with predicates and fallbacks.

Predictive Machine Learning Model Development13:05
Learn a python-based workflow for machine learning model development: load data, perform EDA and cleaning, engineer features, split data, and evaluate classifiers like random forest and SVC on Titanic.
Natural Language Processing23:30
Intention Prediction Model19:42
Build an intention prediction model for a chatbot using Python in a Jupyter notebook; vectorize text with a count vectorizer, train and validate multiple classifiers, and select the best model.
Build Model-Based Chatbot17:01
Develop a Python chatbot using Chatterbot and Flask, detailing environment settings, installing requirements.txt, training with the default English corpus and customized data, and building a user interface in VSCode.

ChatGPT Introduction9:41
Explore building a chatbot with ChatGPT, a leading large language model, covering GPT-3.5 and GPT-4, and using the UI playground for tasks like grammar, translation, and coding.
Prompt Engineering8:19
Learn prompt engineering to guide ChatGPT outputs, covering instruction, context, input data, and output indicators. Apply simple-to-complex prompts, clear commands, and explicit output formats with hash separators.
Implement and Deploy AI Chatbot14:54
Implement a ChatGPT-based chatbot using the OpenAI API in Python, and deploy it as a public URL with the gradual library and open-source tools.

Requirements

basic python skill

Description

· Comprehensive Introduction: The course provides a comprehensive introduction to chatbot technology, covering its history, evolution, and real-world applications across different industries.

· Hands-on Approach: The course emphasizes practical learning through hands-on coding exercises, projects, and quizzes. You will gain valuable experience in building chatbots from scratch and applying various techniques.

· Integration with ChatGPT: Discover how to integrate ChatGPT, a cutting-edge language model developed by OpenAI, into your chatbot projects. Leverage its state-of-the-art language generation abilities to create dynamic and context-aware conversational agents.

· Industry-Relevant Skills: Gain industry-relevant skills that are in high demand. Chatbot technology is increasingly used in customer service, virtual assistants, marketing, and more. Enhance your employability and open doors to exciting career opportunities.

· Self-Paced Learning: The course is designed for self-paced learning, allowing you to progress at your own speed. Access the course materials and assignments anytime, anywhere, and learn at a comfortable pace that suits your schedule.

· Practical Applications: Explore real-world use cases and examples of chatbots in different industries. Understand how chatbot technology is revolutionizing customer interactions, improving efficiency, and enhancing user experiences.

The course teaching will be carried out in the following approaches:

Lecture Slides:

Provide conceptual overviews of chatbot development topics.Use visual aids, diagrams, and examples to aid understanding. Encourage student engagement through questions and discussions.

Live Coding Implementation:

Conduct live coding sessions and demonstrations. Walk students through practical implementation of chatbot techniques. Explain code rationale and decision-making process. Encourage students to follow along, ask questions, and participate.

Who this course is for:

This course is designed for individuals who are interested in exploring and building chatbot technologies, whether they are beginners or have some prior experience in programming and artificial intelligence.

Artificial Intelligence Chatbot

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 32min

Build Rule-Based Chatbot3 lectures • 1hr 3min

Build Model-Based Chatbot Using Python4 lectures • 1hr 13min

AI Chatbot By ChatGPT3 lectures • 33min

Requirements

Description

Who this course is for: