Chatbot: Develop Chatbots using Machine Learning, Develop Chatbots using Deep Learning and Amazon Lex Based Chatbots
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
▪ Brief overview of Chatbots
▪ Need of Chatbots
▪ Types of Chatbots
▪ Rule based vs Self Learning Chatbots
▪ Working Mechanism of Chatbots
3. 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 Chatbot
4. Project 1: Developing an Artificial Intelligence Question-Answering Chatbot using NLTK
5. 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 Action
6. Chatbot Development with Deep Learning
▪ Packages Installation
▪ Defining Chat Model
▪ Tokenization
▪ Setting-up Encoder-Decoder
▪ Implementing RNN based Model Development
7. 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 Lex
8. 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 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
