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Chatbots for Beginners: A Complete Guide to Build Chatbots

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AI Sciences,AI Sciences Team,Shahzaib Hamid

7:52:32

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  • 1 - Course Introduction.mp4
    01:15
  • 2 - Instructor Introduction.mp4
    02:06
  • 3 - AI Sciences Introduction.mp4
    01:13
  • 4 - Course Description.mp4
    01:44
  • 5 - Machine Learning Based Chatbots.mp4
    02:50
  • 6 - Deep Learning Based Chatbots.mp4
    01:29
  • 7 - Chatbots with Amazon Lex.mp4
    01:49
  • 8 - Links for the Courses Materials and Codes.html
  • 9 - Links for the Courses Materials and Codes.html
  • 10 - Overview of Chatbots Module Overview.mp4
    03:59
  • 11 - Overview of Chatbots History of Chatbots.mp4
    02:18
  • 12 - Overview of Chatbots Applications of Chatbots.mp4
    04:01
  • 13 - Overview of Chatbots Chatbots vs Virtual Assistants vs Personal Assistants.mp4
    03:16
  • 14 - Overview of Chatbots Benifits of Chatbots.mp4
    04:58
  • 15 - Overview of Chatbots Why Should Companies Pick Chatbots.mp4
    02:27
  • 16 - Overview of Chatbots Chatbot Types.mp4
    01:19
  • 17 - Overview of Chatbots Rule Based Chatbots.mp4
    02:45
  • 18 - Overview of Chatbots Self Learning Chatbots.mp4
    02:34
  • 19 - Overview of Chatbots Mechanism of Chatbots.mp4
    04:24
  • 20 - Overview of Chatbots Challenges of Chatbots.mp4
    04:05
  • 21 - Overview of Chatbots Quiz.mp4
    01:37
  • 22 - Overview of Chatbots Quiz Solution.mp4
    01:16
  • 23 - Machine Learning Based Chatbots Module Introduction.mp4
    03:36
  • 24 - Machine Learning Based Chatbots Module Overview.mp4
    03:04
  • 25 - Machine Learning Based Chatbots Architecture of ML Chatbots.mp4
    04:08
  • 26 - Machine Learning Based Chatbots ML Enabled Features.mp4
    05:02
  • 27 - Machine Learning Based Chatbots Revolution with ML.mp4
    03:48
  • 28 - Machine Learning Based Chatbots NLTK Features.mp4
    06:24
  • 29 - Machine Learning Based Chatbots Rule Based Chatbots.mp4
    01:25
  • 30 - Machine Learning Based Chatbots Package Installation.mp4
    07:54
  • 31 - Machine Learning Based Chatbots Data Input.mp4
    04:35
  • 32 - Machine Learning Based Chatbots Word Tokens and Remove ASCII.mp4
    06:33
  • 33 - Machine Learning Based Chatbots Remove Tags and Lemmatize.mp4
    09:20
  • 34 - Machine Learning Based Chatbots Chatbot Greets.mp4
    03:39
  • 35 - Machine Learning Based Chatbots Response Generation.mp4
    09:31
  • 36 - Machine Learning Based Chatbots Wiki Search.mp4
    03:26
  • 37 - Machine Learning Based Chatbots Developing Results.mp4
    08:08
  • 38 - Machine Learning Based Chatbots Local Search and Wikipidea Search.mp4
    04:28
  • 39 - Project Conversational Chatbot Development with Machine Learning Module Introduction.mp4
    03:13
  • 40 - Project Conversational Chatbot Development with Machine Learning Project Overview and Packages.mp4
    04:27
  • 41 - Project Conversational Chatbot Development with Machine Learning Getting the Data.mp4
    05:08
  • 42 - Project Conversational Chatbot Development with Machine Learning Elimination.mp4
    02:35
  • 43 - Project Conversational Chatbot Development with Machine Learning Tokenization.mp4
    01:38
  • 44 - Project Conversational Chatbot Development with Machine Learning Lemmatization and Processed Text.mp4
    06:42
  • 45 - Project Conversational Chatbot Development with Machine Learning Greeting Function.mp4
    03:55
  • 46 - Project Conversational Chatbot Development with Machine Learning Generate Response.mp4
    10:10
  • 47 - Project Conversational Chatbot Development with Machine Learning Bot Finishing.mp4
    09:05
  • 48 - Project Conversational Chatbot Development with Machine Learning Testing the Bot.mp4
    02:32
  • 49 - Links for the Courses Materials and Codes.html
  • 50 - Fundamentals of Chatbots for Deep Learning Module Introduction.mp4
    04:10
  • 51 - Fundamentals of Chatbots for Deep Learning Conventional vs AI Chatbots.mp4
    05:48
  • 52 - Fundamentals of Chatbots for Deep Learning Geneative vs Retrievel Chatbots.mp4
    04:06
  • 53 - Fundamentals of Chatbots for Deep Learning Benifits of Deep Learning Chatbots.mp4
    04:30
  • 54 - Fundamentals of Chatbots for Deep Learning Chatbots in Medical Domain.mp4
    04:35
  • 55 - Fundamentals of Chatbots for Deep Learning Chatbots in Business.mp4
    04:36
  • 56 - Fundamentals of Chatbots for Deep Learning Chatbots in ECommerce.mp4
    02:51
  • 57 - Deep Learning Based Chatbot Architecture and Develpment Module Introduction.mp4
    02:55
  • 58 - Deep Learning Based Chatbot Architecture and Develpment Deep Learning Architecture.mp4
    02:18
  • 59 - Deep Learning Based Chatbot Architecture and Develpment Encoder Decoder.mp4
    01:44
  • 60 - Deep Learning Based Chatbot Architecture and Develpment Steps Involved.mp4
    01:56
  • 61 - Deep Learning Based Chatbot Architecture and Develpment Project Overview and Packages.mp4
    03:50
  • 62 - Deep Learning Based Chatbot Architecture and Develpment Importing Libraries.mp4
    05:19
  • 63 - Deep Learning Based Chatbot Architecture and Develpment Data Prepration.mp4
    06:43
  • 64 - Deep Learning Based Chatbot Architecture and Develpment Develop Vocabulary.mp4
    05:08
  • 65 - Deep Learning Based Chatbot Architecture and Develpment Max Story and Question Length.mp4
    03:46
  • 66 - Deep Learning Based Chatbot Architecture and Develpment Tokenizer.mp4
    02:58
  • 67 - Deep Learning Based Chatbot Architecture and Develpment Separation and Sequence.mp4
    05:06
  • 68 - Deep Learning Based Chatbot Architecture and Develpment Vectorize Stories.mp4
    09:35
  • 69 - Deep Learning Based Chatbot Architecture and Develpment Vectorizing Train and Test Data.mp4
    05:43
  • 70 - Deep Learning Based Chatbot Architecture and Develpment Encoding.mp4
    06:49
  • 71 - Deep Learning Based Chatbot Architecture and Develpment Answer and Response.mp4
    05:39
  • 72 - Deep Learning Based Chatbot Architecture and Develpment Model Completion.mp4
    05:02
  • 73 - Deep Learning Based Chatbot Architecture and Develpment Predictions.mp4
    04:26
  • 74 - Links for the Courses Materials and Codes.html
  • 75 - Fundamentals of AWS for Chatbots Module Overview.mp4
    04:03
  • 76 - Fundamentals of AWS for Chatbots Overview of AWS.mp4
    05:12
  • 77 - Fundamentals of AWS for Chatbots Services of AWS.mp4
    07:33
  • 78 - Fundamentals of AWS for Chatbots Salient Features of AWS.mp4
    04:51
  • 79 - Fundamentals of AWS for Chatbots Lex Bot Overview.mp4
    04:23
  • 80 - Fundamentals of AWS for Chatbots Benifits of Amazon Lex.mp4
    02:53
  • 81 - Fundamentals of AWS for Chatbots Framework of Lex.mp4
    04:03
  • 82 - Chatbot Development with AWS Lex and AWS Lambda Module Overview.mp4
    06:37
  • 83 - Chatbot Development with AWS Lex and AWS Lambda Chatbot Steps.mp4
    05:11
  • 84 - Chatbot Development with AWS Lex and AWS Lambda AWS Lambda Steps.mp4
    02:55
  • 85 - Chatbot Development with AWS Lex and AWS Lambda Twilio and Website.mp4
    04:54
  • 86 - Chatbot Development with AWS Lex and AWS Lambda Response Cards.mp4
    01:23
  • 87 - Chatbot Development with AWS Lex and AWS Lambda Start Developing Chatbot.mp4
    08:50
  • 88 - Chatbot Development with AWS Lex and AWS Lambda Intent Utterance and Slot.mp4
    04:52
  • 89 - Chatbot Development with AWS Lex and AWS Lambda Making Utterances.mp4
    03:54
  • 90 - Chatbot Development with AWS Lex and AWS Lambda Generic Utterance with Slots.mp4
    05:55
  • 91 - Chatbot Development with AWS Lex and AWS Lambda Adding Custom Slots.mp4
    04:43
  • 92 - Chatbot Development with AWS Lex and AWS Lambda Build and Test.mp4
    07:32
  • 93 - Chatbot Development with AWS Lex and AWS Lambda Visual Builder.mp4
    04:31
  • 94 - Chatbot Development with AWS Lex and AWS Lambda Lambda Introduction.mp4
    02:51
  • 95 - Chatbot Development with AWS Lex and AWS Lambda Interconnection.mp4
    09:23
  • 96 - Chatbot Development with AWS Lex and AWS Lambda Starting Lambda Code.mp4
    06:53
  • 97 - Chatbot Development with AWS Lex and AWS Lambda Session state Dialog Hook and Dialog Action.mp4
    07:24
  • 98 - Chatbot Development with AWS Lex and AWS Lambda Completing Lambda Function.mp4
    01:33
  • 99 - Chatbot Development with AWS Lex and AWS Lambda Testing our Chatbot.mp4
    04:48
  • 100 - Chatbot Development with AWS Lex and AWS Lambda Chatbot Deployment on Whatsapp with Twilio.mp4
    13:41
  • 101 - Chatbot Development with AWS Lex and AWS Lambda Integration with Boto.mp4
    08:20
  • 102 - Chatbot Development with AWS Lex and AWS Lambda Responses with Boto.mp4
    06:02
  • 103 - Chatbot Development with AWS Lex and AWS Lambda Chatbot on Website.mp4
    08:45
  • 104 - Chatbot Development with AWS Lex and AWS Lambda Response Cards for User Experience.mp4
    03:03
  • 105 - Chatbot Development with AWS Lex and AWS Lambda Complete Chatbot with Response Cards.mp4
    10:10
  • Description


    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…

    Who is this 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
  • More details


    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 practitioners

    Teaching 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 Overview

    2. Overview of Chatbots

    â–ª Brief overview of Chatbots

    â–ª Need of Chatbots

    â–ª Types of Chatbots

    â–ª Rule based vs Self Learning Chatbots

    â–ª Working Mechanism of Chatbots

    3. Machine Learning Based Chatbot

    â–ª Machine Learning Based Architecture of Chatbots

    â–ª Purpose of Machine Learning Based Chatbots

    â–ª Rule of Machine Learning Over Chatbots Industry

    â–ª Impact and Overview of Natural Language Toolkit

    â–ª Rule based Chatbot using NLTK

    â–ª Packages Installation

    â–ª Creating Corpus with Python

    â–ª Text Preprocessing and Helper Function Deployment

    â–ª Generating Responses

    â–ª Implementation of term-frequency times inverse document-frequency

    â–ª Training and Testing of Rule Based Chatbot

    4. Project 1: Developing an Artificial Intelligence Question-Answering Chatbot using NLTK

    5. Fundamentals of Deep Learning for Chatbots

    â–ª Comparison of Conventional Chatbots with Deep Learning Based Chatbots

    â–ª Self-Learning Chatbots: Generative Chatbots vs Retrieval Chatbots

    â–ª Deep Learning Empowered Chatbots Features

    â–ª Conventional Chatbots & Self-Learning Chatbots in Action

    6. Chatbot Development with Deep Learning

    â–ª Packages Installation

    â–ª Defining Chat Model

    â–ª Tokenization

    â–ª Setting-up Encoder-Decoder

    â–ª Implementing RNN based Model Development

    7. Fundamentals of AWS for Chatbots raining Chatbot Development with Deep Learning

    â–ª Overview of AWS

    â–ª Salient Features of AWS

    â–ª Building a hotel booking chat bot with Amazon Lex

    8. Fundamentals of AWS for Chatbots raining Chatbot Development with Deep Learning

    â–ª Creating AWS Lambda Function

    â–ª Connecting AWS Lambda Function to Amazon Lex

    â–ª Chatbot backend development for AWS Lex and AWS Lambda

    â–ª Integrate Chatbot with Twilio

    â–ª AWS Software Development Kit

    â–ª Website Integration of AWS Lex Chatbot

    â–ª Implementing Response Cards with Chatbots

    Enroll 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 sites

    Who 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

    Who 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

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    We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.
    AI Sciences Team
    AI Sciences Team
    Instructor's Courses
    We are a group of experts, PhDs and Practitioners of Artificial Intelligence, Computer Science, Machine Learning, and Statistics. Some of us work in big companies like Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM.We decided to produce a series of courses mainly dedicated to beginners and newcomers on the techniques and methods of Machine Learning, Statistics, Artificial Intelligence, and Data Science. Initially, our objective was to help only those who wish to understand these techniques more easily and to be able to start without too much theory and without a long reading. Today we also publish a more complete course on some topics for a wider audience.Our courses have had phenomenal success. Our Courses have helped more than 100,000 students to master AI and Data Science.
    Shahzaib Hamid
    Shahzaib Hamid
    Instructor's Courses
    I have more than 10 years experience of working with Academia and Industry as well. Currently, I develop multiple online courses for students trying to break into the field of Data Analytics, Data Science and AI. Other than that, I work as a  Consultant with clients on trending topics and Problems related to these fields.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 101
    • duration 7:52:32
    • Release Date 2022/12/31