Overview

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Embark on a journey to master chatbot development with this detailed course designed for beginners. Starting with an introduction to chatbots, you’ll learn their history, applications, and benefits. Understand the differences between rule-based and self-learning chatbots, and explore their mechanisms and challenges. Dive into machine learning-based chatbots, exploring the Natural Language Toolkit (NLTK) and developing a rule-based chatbot. Progress to advanced concepts with deep learning, including generative and retrieval chatbots. Develop chatbots using TensorFlow, Keras, and other powerful tools. The course also covers chatbot development with Amazon Lex, guiding you through creating, integrating, and deploying chatbots using AWS services. Learn to connect chatbots with Lambda, Twilio, and other platforms to enhance functionality and user experience. By the end of this course, you’ll have the expertise to build sophisticated chatbots, ready to implement in various industries and applications. This course is perfect for beginners, software developers, and tech enthusiasts interested in learning how to build intelligent chatbots. No prior experience in chatbot development is necessary.

Syllabus

Introduction

In this module, we will lay the groundwork for the course by introducing the objectives, the instructor, and the fundamental concepts of AI sciences. You'll get a clear understanding of the different types of chatbots, including those based on machine learning and deep learning, and explore the tools used for building chatbots, with a specific focus on Amazon Lex.

Basics of Chatbots with Machine Learning and Python

In this module, we will delve into the fundamentals of chatbots, covering their history, applications, and the various types, including rule-based and self-learning chatbots. We will also explore the architecture of machine learning-based chatbots and their revolutionary features. By the end of this module, you will gain hands-on experience in developing a conversational chatbot using Python, focusing on data input, text processing, and response generation.

Advanced Chatbots with Deep Learning and Python

In this module, we will explore the advanced concepts of chatbot development using deep learning. You will learn the differences between conventional and AI chatbots, as well as the distinctions between generative and retrieval chatbots. We will discuss the benefits of deep learning chatbots in fields such as medicine, business, and e-commerce. This module will also guide you through the architecture and development of deep learning-based chatbots, including steps for data preparation, vocabulary development, and model training. By the end of this module, you will have the skills to build and test a sophisticated deep learning chatbot using Python.

Chatbots Development with Amazon Lex

In this module, we will cover the fundamentals of AWS and its services, focusing on Amazon Lex for chatbot development. You will gain an in-depth understanding of the features and benefits of using Amazon Lex. The module will guide you through the step-by-step process of developing a chatbot with Amazon Lex and AWS Lambda, including creating intents, utterances, and slots. We will also cover integration with Twilio for deployment on WhatsApp and using Boto for advanced responses. By the end of this module, you will be able to build, test, and deploy a complete chatbot with enhanced user experiences.