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

Homepage

https://www.udemy.com/course/chatbots-for-beginners-a-complete-guide-to-build-chatbots/