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Chatbots for Beginners: A Complete Guide to Build Chatbots
Chatbots for Beginners: A Complete Guide to Build Chatbots

Chatbots for Beginners: A Complete Guide to Build Chatbots: Develop Chatbots using Machine Learning, Deep Learning, and Amazon Lex

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Video Feb 2023 7hrs 57mins 1st Edition
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AU$14.99 AU$151.99
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Arrow left icon
Profile Icon AI Sciences
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AU$24.99 per month
Full star icon Full star icon Full star icon Full star icon Full star icon 5 (1 Ratings)
Video Feb 2023 7hrs 57mins 1st Edition
Video
AU$14.99 AU$151.99
Subscription
Free Trial
Renews at AU$24.99p/m
Video
AU$14.99 AU$151.99
Subscription
Free Trial
Renews at AU$24.99p/m

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Key benefits

  • Learn basic ML architecture for chatbots and the impact of ML technology on the chatbots industry
  • Explore Amazon Web Services (AWS) and the functionality of Amazon Lex for chatbot development
  • Gain hands-on knowledge of Amazon Lex, Lambda, and Twilio, and their integration with AWS chatbots

Description

Chatbots are computer programs that converse with users, understand their intent, and reply based on preset rules and data. Chatbots are used in dialog systems for various purposes, including customer service, request routing, or information gathering in e-commerce, education, entertainment, finance, health, and more. The course begins with an in-depth introduction to chatbot basics with ML, DL, and AWS. We will understand chatbots, their needs and types, rule-based/self-learning chatbots and their working mechanisms, and explore ML-based chatbot concepts. We will explore Natural Language Toolkit (NLTK) and install packages to create a corpus with Python. We will train and test the chatbot. We will then advance to DL-based chatbots and compare conventional with DL-based chatbots. You will learn about tokenization, encoder-decoder, and implementing RNN-based models. Finally, we will explore AWS for chatbot training with DL. We will examine the features of AWS and build a hotel booking chatbot with Amazon Lex. We will connect AWS Lambda to Amazon Lex and integrate the chatbot with Twilio. We will use AWS SDK and create response cards with chatbots. Upon completion, we will independently be able to build chatbots using ML, DL, and AWS Lex on Python, with a thorough understanding of the creation and functioning of these chatbots. All resources are available at: https://github.com/PacktPublishing/Chatbots-for-Beginners-A-Complete-Guide-to-Build-Chatbots

Who is this book for?

This course is designed for individuals looking to advance their skills in applied machine learning and DL, understand relationships of data analysis with ML and DL, learn AWS and apply AWS Lex and Lambda for chatbots, build customized chatbots for their applications, implement DL algorithms for chatbots and rule-based self-learning chatbots. This course can benefit ML/DL practitioners, research scholars, and data scientists researching chatbots. No prior knowledge of chatbots, ML, DL, Amazon Lex, data analysis, or mathematics is required. Prior basic- to intermediate-level Python knowledge is required.

What you will learn

  • Learn the basic machine learning architecture for the chatbots
  • Gain hands-on practice in text generation with Python for chatbots
  • Learn about testing and training chatbots with machine learning
  • Learn hands-on web-based development of the AWS chatbot
  • Implement settings of a decoder-encoder model with Python
  • Understand the impact/overview tokenization in chatbot development

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Feb 28, 2023
Length: 7hrs 57mins
Edition : 1st
Language : English
ISBN-13 : 9781837637621
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Product Details

Publication date : Feb 28, 2023
Length: 7hrs 57mins
Edition : 1st
Language : English
ISBN-13 : 9781837637621
Languages :
Concepts :
Tools :

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Table of Contents

4 Chapters
Introduction Chevron down icon Chevron up icon
Basics of Chatbots with Machine Learning and Python Chevron down icon Chevron up icon
Overview of Chatbots: Module Overview
Overview of Chatbots: History of Chatbots
Overview of Chatbots: Applications of Chatbots
Overview of Chatbots: Chatbots Versus Virtual Assistants Versus Personal Assistants
Overview of Chatbots: Benefits of Chatbots
Overview of Chatbots: Why Should Companies Pick Chatbots
Overview of Chatbots: Chatbot Types
Overview of Chatbots: Rule-Based Chatbots
Overview of Chatbots: Self-Learning Chatbots
Overview of Chatbots: Mechanism of Chatbots
Overview of Chatbots: Challenges of Chatbots
Overview of Chatbots: Quiz
Overview of Chatbots: Quiz Solution
Machine Learning-Based Chatbots: Module Introduction
Machine Learning-Based Chatbots: Module Overview
Machine Learning-Based Chatbots: Architecture of ML Chatbots
Machine Learning-Based Chatbots: ML-Enabled Features
Machine Learning-Based Chatbots: Revolution with ML
Machine Learning-Based Chatbots: NLTK Features
Machine Learning-Based Chatbots: Rule-Based Chatbots
Machine Learning-Based Chatbots: Package Installation
Machine Learning-Based Chatbots: Data Input
Machine Learning-Based Chatbots: Word Tokens and Remove ASCII
Machine Learning-Based Chatbots: Remove Tags and Lemmatize
Machine Learning-Based Chatbots: Chatbot Greets
Machine Learning-Based Chatbots: Response Generation
Machine Learning-Based Chatbots: Wiki Search
Machine Learning-Based Chatbots: Developing Results
Machine Learning-Based Chatbots: Local Search and Wikipedia Search
Project: Conversational Chatbot Development with Machine Learning: Module Introduction
Project: Conversational Chatbot Development with Machine Learning: Project Overview and Packages
Project: Conversational Chatbot Development with Machine Learning: Getting the Data
Project: Conversational Chatbot Development with Machine Learning: Elimination
Project: Conversational Chatbot Development with Machine Learning: Tokenization
Project: Conversational Chatbot Development with Machine Learning: Lemmatization and Processed Text
Project: Conversational Chatbot Development with Machine Learning: Greeting Function
Project: Conversational Chatbot Development with Machine Learning: Generate Response
Project: Conversational Chatbot Development with Machine Learning: Bot Finishing
Project: Conversational Chatbot Development with Machine Learning: Testing the Bot
Advanced Chatbots with Deep Learning and Python Chevron down icon Chevron up icon
Fundamentals of Chatbots for Deep Learning: Module Introduction
Fundamentals of Chatbots for Deep Learning: Conventional Versus AI Chatbots
Fundamentals of Chatbots for Deep Learning: Generative Versus Retrieval Chatbots
Fundamentals of Chatbots for Deep Learning: Benefits of Deep Learning Chatbots
Fundamentals of Chatbots for Deep Learning: Chatbots in the Medical Domain
Fundamentals of Chatbots for Deep Learning: Chatbots in Business
Fundamentals of Chatbots for Deep Learning: Chatbots in Ecommerce
Deep Learning-Based Chatbot Architecture and Development: Module Introduction
Deep Learning-Based Chatbot Architecture and Development: Deep Learning Architecture
Deep Learning-Based Chatbot Architecture and Development: Encoder Decoder
Deep Learning-Based Chatbot Architecture and Development: Steps Involved
Deep Learning-Based Chatbot Architecture and Development: Project Overview and Packages
Deep Learning-Based Chatbot Architecture and Development: Importing Libraries
Deep Learning-Based Chatbot Architecture and Development: Data Preparation
Deep Learning-Based Chatbot Architecture and Development: Develop Vocabulary
Deep Learning-Based Chatbot Architecture and Development: Max Story and Question Length
Deep Learning-Based Chatbot Architecture and Development: Tokenizer
Deep Learning-Based Chatbot Architecture and Development: Separation and Sequence
Deep Learning-Based Chatbot Architecture and Development: Vectorize Stories
Deep Learning-Based Chatbot Architecture and Development: Vectorizing Train and Test Data
Deep Learning-Based Chatbot Architecture and Development: Encoding
Deep Learning-Based Chatbot Architecture and Development: Answer and Response
Deep Learning-Based Chatbot Architecture and Development: Model Completion
Deep Learning-Based Chatbot Architecture and Development: Predictions
Chatbots Development with Amazon Lex Chevron down icon Chevron up icon
Fundamentals of AWS for Chatbots: Module Overview
Fundamentals of AWS for Chatbots: Overview of AWS
Fundamentals of AWS for Chatbots: Services of AWS
Fundamentals of AWS for Chatbots: Salient Features of AWS
Fundamentals of AWS for Chatbots: Lex Bot Overview
Fundamentals of AWS for Chatbots: Benefits of Amazon Lex
Fundamentals of AWS for Chatbots: Framework of Lex
Chatbot Development with AWS Lex and AWS Lambda: Module Overview
Chatbot Development with AWS Lex and AWS Lambda: Chatbot Steps
Chatbot Development with AWS Lex and AWS Lambda: AWS Lambda Steps
Chatbot Development with AWS Lex and AWS Lambda: Twilio and Website
Chatbot Development with AWS Lex and AWS Lambda: Response Cards
Chatbot Development with AWS Lex and AWS Lambda: Start Developing Chatbot
Chatbot Development with AWS Lex and AWS Lambda: Intent Utterance and Slot
Chatbot Development with AWS Lex and AWS Lambda: Making Utterances
Chatbot Development with AWS Lex and AWS Lambda: Generic Utterance with Slots
Chatbot Development with AWS Lex and AWS Lambda: Adding Custom Slots
Chatbot Development with AWS Lex and AWS Lambda: Build and Test
Chatbot Development with AWS Lex and AWS Lambda: Visual Builder
Chatbot Development with AWS Lex and AWS Lambda: Lambda Introduction
Chatbot Development with AWS Lex and AWS Lambda: Interconnection
Chatbot Development with AWS Lex and AWS Lambda: Starting Lambda Code
Chatbot Development with AWS Lex and AWS Lambda: Session state Dialog Hook and Dialog Action
Chatbot Development with AWS Lex and AWS Lambda: Completing Lambda Function
Chatbot Development with AWS Lex and AWS Lambda: Testing our Chatbot
Chatbot Development with AWS Lex and AWS Lambda: Chatbot Deployment on WhatsApp with Twilio
Chatbot Development with AWS Lex and AWS Lambda: Integration with Boto
Chatbot Development with AWS Lex and AWS Lambda: Responses with Boto
Chatbot Development with AWS Lex and AWS Lambda: Chatbot on Website
Chatbot Development with AWS Lex and AWS Lambda: Response Cards for User Experience
Chatbot Development with AWS Lex and AWS Lambda: Complete Chatbot with Response Cards

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