Chatbots For Beginners: A Complete Guide To Build Chatbots

Chatbot: Develop Chatbots using Machine Learning, Develop Chatbots using Deep Learning and Amazon Lex Based Chatbots

What you'll learn

• Learn the about basics of chatbots

• Learn about the need of chatbots

• Learn about fundamentals of the types of chatbots specially with respect to rule based and self-learning chatbots

• Learn the basic machine learning architecture for the chatbots

• Learn the impact of machine learning technology on chatbots industry

• Learn the impact and overview of Natural Language Toolkit (NLTK)

• Learn the text preprocessing and helper function development with python

• Learn the hands-on practice on text generation with python for chatbot development

• Learn the hands-on Implementation of term-frequency times inverse document-frequency

• Learn about the testing and training of chatbot with machine learning

• Learn about the comparison of conventional chatbots with deep learning based chatbots

• Learn about fundamentals of the generative chatbots vs retrieval chatbots

• Learn the basics of deep learning empowered chatbots features

• Learn the conventional chatbots & self-learning chatbots in action

• Learn the impact and overview tokenization in chatbots development

• Learn the settings of decoder-encoder model with python

• Learn the hands-on practice on implementing RNN based model development for chatbots

• Learn about the testing and training of chatbot with Deep learning

• Learn the fundamentals of Amazon Web Services (AWS)

• Learn the functionality of Amazon Lex for chatbot development

• Learn the hands-on approach for chatbot development with Amazon Lex and Amazon Lambda

• Learn the practical usage of Twilio and its integration with AWS for chatbots

• Learn the hands on web-based development of AWS chatbot

• Learn to access chatbot through Boto-3

• And much more…

Requirements

• No prior knowledge of Chatbots, Machine Learning, Deep Learning, Amazon Lex, Data Analysis or Mathematics is needed. We will start from the basics and gradually build your knowledge in the subject

• A willingness to learn and practice

• Only basic Python is required

Description

Comprehensive Course Description:Have you ever wanted to build a simple, easy, and efficient chatbot for your business?Do you need an efficient instructor for your education?Are you inspired from Iron Man, and need a Jarvis for your official assistance?If yes! Then this is the course you are looking for.You might have searched for many relevant courses, but this course is different!This course is a complete package for beginners to learn the basics of chatbots with machine learning, deep learning, AWS, its applications and building it from scratch by hand on practice for chatbots developments. Every module has engaging content covering necessary theoretical concepts with a complete practical approach used along with brief theoretical concepts. At the end of every module, we assign you a quiz, the solution to the quizzes is also available in the next video.We will be starting with the theoretical concepts of chatbots, after providing you with the basic knowledge of chatbots. You will be able to learn about the important fundamental concepts of chatbots which are the basic building blocks of it.This complete package will enable you to learn the basics to advance mechanism of developing chatbots by using machine learning, deep learning, AWS with python. We’ll be using Python as a programming language in this course, which is the hottest language nowadays if we talk about deep learning. Python will be taught from elementary level up to an advanced level so that any machine learning, deep learning, AWS concept can be implemented.This comprehensive course will be your guide to learning how to use the power of Python to evaluate your chatbots datasets based on conversational notes, online resources, and websites. Moreover, a practical approach will be adopted to build machine learning, deep learning, AWS based chatbots where hands on experience will be developed.We’ll learn all the basic and necessary concepts for developing chatbots along with the machine learning, deep learning, AWS Lex, AWS Lambda, Twilio, Boto-3 and Web Integration for Chatbots.This course is designed for both beginners with some programming experience and those who know nothing about machine learning, deep learning, AWS and Python.This comprehensive course is comparable to other Chatbots Development with machine learning, deep learning, and AWS courses that usually cost hundreds of dollars, but now you can learn all that information at a fraction of the cost in only one course! With over 8 hours of HD video lectures that are divided into many videos and detailed code notebooks for every address, this is one of the most comprehensive courses for Chatbots Development with machine learning, deep learning, and AWS on Udemy!Why Should You Enroll in This Course?The course is crafted to help you understand not only the role and impact of the chatbots industry in real world applications, but it provides a very unique hands-on experience on developing complete chatbots for your customized dataset by using a project. This straightforward learning by doing course will help you in mastering the concepts and methodology with regards to Python.This course is:· Easy to understand.· Expressive and self-explanatory· To the point· Practical with live coding· A complete package with multiple in depth projects covering complete course contents· Thorough, covering the most advanced and recently discovered deep learning models by renowned data scientists and AI practitionersTeaching Is Our Passion:We focus on creating online tutorials that encourage learning by doing. We aim to provide you with a more than a superficial look at practical approach towards developing chatbots using machine learning, deep learning, and AWS. For instance, this course has projects in module which will help you to see for yourself via experimentation the practical implementation of machine learning, deep learning, and AWS with data analysis on the real-world datasets. We have worked extra hard to ensure you understand the concepts clearly. We want you to have a sound understanding of the basics before you move onward to the more complex concepts. The course materials that make certain you accomplish all this include high-quality video content, course notes, meaningful course materials, handouts, and evaluation exercises. You can also get in touch with our friendly team in case of any queries.Course Content:We'll teach you how to program with Python, how to use machine learning, deep learning, and AWS concepts to develop chatbots! Here are just a few of the topics that we will be learning:1. Course Overview2. Overview of Chatbots▪ Brief overview of Chatbots▪ Need of Chatbots▪ Types of Chatbots▪ Rule based vs Self Learning Chatbots▪ Working Mechanism of Chatbots3. Machine Learning Based Chatbot ▪ Machine Learning Based Architecture of Chatbots▪ Purpose of Machine Learning Based Chatbots▪ Rule of Machine Learning Over Chatbots Industry▪ Impact and Overview of Natural Language Toolkit▪ Rule based Chatbot using NLTK▪ Packages Installation▪ Creating Corpus with Python▪ Text Preprocessing and Helper Function Deployment▪ Generating Responses▪ Implementation of term-frequency times inverse document-frequency▪ Training and Testing of Rule Based Chatbot4. Project 1: Developing an Artificial Intelligence Question-Answering Chatbot using NLTK5. Fundamentals of Deep Learning for Chatbots▪ Comparison of Conventional Chatbots with Deep Learning Based Chatbots▪ Self-Learning Chatbots: Generative Chatbots vs Retrieval Chatbots▪ Deep Learning Empowered Chatbots Features▪ Conventional Chatbots & Self-Learning Chatbots in Action6. Chatbot Development with Deep Learning▪ Packages Installation▪ Defining Chat Model▪ Tokenization▪ Setting-up Encoder-Decoder▪ Implementing RNN based Model Development7. Fundamentals of AWS for Chatbots raining Chatbot Development with Deep Learning ▪ Overview of AWS▪ Salient Features of AWS▪ Building a hotel booking chat bot with Amazon Lex8. Fundamentals of AWS for Chatbots raining Chatbot Development with Deep Learning ▪ Creating AWS Lambda Function▪ Connecting AWS Lambda Function to Amazon Lex▪ Chatbot backend development for AWS Lex and AWS Lambda▪ Integrate Chatbot with Twilio▪ AWS Software Development Kit▪ Website Integration of AWS Lex Chatbot▪ Implementing Response Cards with ChatbotsEnroll in the course and become a chatbots expert today!After completing this course successfully, you will be able to:· Relate the concepts and theories for chatbots in various domains· Understand and implement machine learning and deep learning models for building real world chatbots· Understand evaluate the machine learning and deep learning models· Build customized chatbots with AWS Lex and AWS Lambda· Integrate your chatbots with WhatsApp and massaging apps· Integrate your customized chatbots with web sitesWho this course is for:· People who want to advance their skills in applied machine learning and deep learning· People who want to master relation of data analysis with machine learning and deep learning· People who want to learn AWS and apply AWS Lex and AWS Lambda for Chatbots· People who want to build customized chatbots for their applications· People who want to implement deep learning algorithms for chatbots· Individuals who are passionate about rule self-learning chatbots· Machine Learning / Deep Learning Practitioners· Research Scholars· Data Scientists

Overview

Section 1: Introduction

Lecture 1 Course Introduction

Lecture 2 Instructor Introduction

Lecture 3 AI Sciences Introduction

Lecture 4 Course Description

Lecture 5 Machine Learning Based Chatbots

Lecture 6 Deep Learning Based Chatbots

Lecture 7 Chatbots with Amazon Lex

Lecture 8 Links for the Course's Materials and Codes

Section 2: Basics of Chatbots with Machine Learning & Python

Lecture 9 Links for the Course's Materials and Codes

Lecture 10 Overview of Chatbots: Module Overview

Lecture 11 Overview of Chatbots: History of Chatbots

Lecture 12 Overview of Chatbots: Applications of Chatbots

Lecture 13 Overview of Chatbots: Chatbots vs Virtual Assistants vs Personal Assistants

Lecture 14 Overview of Chatbots: Benifits of Chatbots

Lecture 15 Overview of Chatbots: Why Should Companies Pick Chatbots

Lecture 16 Overview of Chatbots: Chatbot Types

Lecture 17 Overview of Chatbots: Rule Based Chatbots

Lecture 18 Overview of Chatbots: Self Learning Chatbots

Lecture 19 Overview of Chatbots: Mechanism of Chatbots

Lecture 20 Overview of Chatbots: Challenges of Chatbots

Lecture 21 Overview of Chatbots: Quiz

Lecture 22 Overview of Chatbots: Quiz Solution

Lecture 23 Machine Learning Based Chatbots: Module Introduction

Lecture 24 Machine Learning Based Chatbots: Module Overview

Lecture 25 Machine Learning Based Chatbots: Architecture of ML Chatbots

Lecture 26 Machine Learning Based Chatbots: ML Enabled Features

Lecture 27 Machine Learning Based Chatbots: Revolution with ML

Lecture 28 Machine Learning Based Chatbots: NLTK Features

Lecture 29 Machine Learning Based Chatbots: Rule Based Chatbots

Lecture 30 Machine Learning Based Chatbots: Package Installation

Lecture 31 Machine Learning Based Chatbots: Data Input

Lecture 32 Machine Learning Based Chatbots: Word Tokens and Remove ASCII

Lecture 33 Machine Learning Based Chatbots: Remove Tags and Lemmatize

Lecture 34 Machine Learning Based Chatbots: Chatbot Greets

Lecture 35 Machine Learning Based Chatbots: Response Generation

Lecture 36 Machine Learning Based Chatbots: Wiki Search

Lecture 37 Machine Learning Based Chatbots: Developing Results

Lecture 38 Machine Learning Based Chatbots: Local Search and Wikipidea Search

Lecture 39 Project: Conversational Chatbot Development with Machine Learning: Module Introduction

Lecture 40 Project: Conversational Chatbot Development with Machine Learning: Project Overview and Packages

Lecture 41 Project: Conversational Chatbot Development with Machine Learning: Getting the Data

Lecture 42 Project: Conversational Chatbot Development with Machine Learning: Elimination

Lecture 43 Project: Conversational Chatbot Development with Machine Learning: Tokenization

Lecture 44 Project: Conversational Chatbot Development with Machine Learning: Lemmatization and Processed Text

Lecture 45 Project: Conversational Chatbot Development with Machine Learning: Greeting Function

Lecture 46 Project: Conversational Chatbot Development with Machine Learning: Generate Response

Lecture 47 Project: Conversational Chatbot Development with Machine Learning: Bot Finishing

Lecture 48 Project: Conversational Chatbot Development with Machine Learning: Testing the Bot

Section 3: Advanced Chatbots with Deep Learning & Python

Lecture 49 Links for the Course's Materials and Codes

Lecture 50 Fundamentals of Chatbots for Deep Learning: Module Introduction

Lecture 51 Fundamentals of Chatbots for Deep Learning: Conventional vs AI Chatbots

Lecture 52 Fundamentals of Chatbots for Deep Learning: Geneative vs Retrievel Chatbots

Lecture 53 Fundamentals of Chatbots for Deep Learning: Benifits of Deep Learning Chatbots

Lecture 54 Fundamentals of Chatbots for Deep Learning: Chatbots in Medical Domain

Lecture 55 Fundamentals of Chatbots for Deep Learning: Chatbots in Business

Lecture 56 Fundamentals of Chatbots for Deep Learning: Chatbots in E-Commerce

Lecture 57 Deep Learning Based Chatbot Architecture and Develpment: Module Introduction

Lecture 58 Deep Learning Based Chatbot Architecture and Develpment: Deep Learning Architecture

Lecture 59 Deep Learning Based Chatbot Architecture and Develpment: Encoder Decoder

Lecture 60 Deep Learning Based Chatbot Architecture and Develpment: Steps Involved

Lecture 61 Deep Learning Based Chatbot Architecture and Develpment: Project Overview and Packages

Lecture 62 Deep Learning Based Chatbot Architecture and Develpment: Importing Libraries

Lecture 63 Deep Learning Based Chatbot Architecture and Develpment: Data Prepration

Lecture 64 Deep Learning Based Chatbot Architecture and Develpment: Develop Vocabulary

Lecture 65 Deep Learning Based Chatbot Architecture and Develpment: Max Story and Question Length

Lecture 66 Deep Learning Based Chatbot Architecture and Develpment: Tokenizer

Lecture 67 Deep Learning Based Chatbot Architecture and Develpment: Separation and Sequence

Lecture 68 Deep Learning Based Chatbot Architecture and Develpment: Vectorize Stories

Lecture 69 Deep Learning Based Chatbot Architecture and Develpment: Vectorizing Train and Test Data

Lecture 70 Deep Learning Based Chatbot Architecture and Develpment: Encoding

Lecture 71 Deep Learning Based Chatbot Architecture and Develpment: Answer and Response

Lecture 72 Deep Learning Based Chatbot Architecture and Develpment: Model Completion

Lecture 73 Deep Learning Based Chatbot Architecture and Develpment: Predictions

Section 4: Chatbots Development with Amazon Lex

Lecture 74 Links for the Course's Materials and Codes

Lecture 75 Fundamentals of AWS for Chatbots: Module Overview

Lecture 76 Fundamentals of AWS for Chatbots: Overview of AWS

Lecture 77 Fundamentals of AWS for Chatbots: Services of AWS

Lecture 78 Fundamentals of AWS for Chatbots: Salient Features of AWS

Lecture 79 Fundamentals of AWS for Chatbots: Lex Bot Overview

Lecture 80 Fundamentals of AWS for Chatbots: Benifits of Amazon Lex

Lecture 81 Fundamentals of AWS for Chatbots: Framework of Lex

Lecture 82 Chatbot Development with AWS Lex and AWS Lambda: Module Overview

Lecture 83 Chatbot Development with AWS Lex and AWS Lambda: Chatbot Steps

Lecture 84 Chatbot Development with AWS Lex and AWS Lambda: AWS Lambda Steps

Lecture 85 Chatbot Development with AWS Lex and AWS Lambda: Twilio and Website

Lecture 86 Chatbot Development with AWS Lex and AWS Lambda: Response Cards

Lecture 87 Chatbot Development with AWS Lex and AWS Lambda: Start Developing Chatbot

Lecture 88 Chatbot Development with AWS Lex and AWS Lambda: Intent Utterance and Slot

Lecture 89 Chatbot Development with AWS Lex and AWS Lambda: Making Utterances

Lecture 90 Chatbot Development with AWS Lex and AWS Lambda: Generic Utterance with Slots

Lecture 91 Chatbot Development with AWS Lex and AWS Lambda: Adding Custom Slots

Lecture 92 Chatbot Development with AWS Lex and AWS Lambda: Build and Test

Lecture 93 Chatbot Development with AWS Lex and AWS Lambda: Visual Builder

Lecture 94 Chatbot Development with AWS Lex and AWS Lambda: Lambda Introduction

Lecture 95 Chatbot Development with AWS Lex and AWS Lambda: Interconnection

Lecture 96 Chatbot Development with AWS Lex and AWS Lambda: Starting Lambda Code

Lecture 97 Chatbot Development with AWS Lex and AWS Lambda: Session state Dialog Hook and Dialog Action

Lecture 98 Chatbot Development with AWS Lex and AWS Lambda: Completing Lambda Function

Lecture 99 Chatbot Development with AWS Lex and AWS Lambda: Testing our Chatbot

Lecture 100 Chatbot Development with AWS Lex and AWS Lambda: Chatbot Deployment on Whatsapp with Twilio

Lecture 101 Chatbot Development with AWS Lex and AWS Lambda: Integration with Boto

Lecture 102 Chatbot Development with AWS Lex and AWS Lambda: Responses with Boto

Lecture 103 Chatbot Development with AWS Lex and AWS Lambda: Chatbot on Website

Lecture 104 Chatbot Development with AWS Lex and AWS Lambda: Response Cards for User Experience

Lecture 105 Chatbot Development with AWS Lex and AWS Lambda: Complete Chatbot with Response Cards

• People who want to advance their skills in applied machine learning and Deep learning,• People who want to master relation of data analysis with machine learning and Deep learning,• People who want to learn AWS and apply AWS Lex and AWS Lambda for Chatbots,• People who want to build customized chatbots for their applications,• People who want to implement deep learning algorithms for chatbots,• Individuals who are passionate about rule self-learning chatbots,• Machine Learning / Deep Learning Practitioners,• Research Scholars,• Data Scientists