Advanced Chatbots with Deep Learning and Python

Overview

Class Central Tips

This course is designed to equip learners with the knowledge and skills required to develop advanced chatbots using deep learning and Python. The initial modules provide an overview of chatbots, their evolution, and the benefits of incorporating AI into chatbot development. Learners will gain an understanding of the fundamental differences between conventional chatbots and those powered by deep learning, including generative and retrieval models. As the course progresses, you will delve into the architecture and development of deep learning-based chatbots. Through hands-on modules, you will explore the entire process, from understanding the architecture of encoders and decoders to practical implementations. By working through real-world examples, you will learn to set up environments, import necessary libraries, and prepare data for chatbot training and testing. Each step is clearly outlined to ensure a smooth learning experience. Towards the end, you will focus on building a fully functional chatbot, integrating it with deep learning models, and testing its capabilities. The course concludes with a series of projects that help you consolidate your learning by applying the concepts in various domains such as healthcare, business, and e-commerce. By the end of this journey, you will have developed the proficiency to create robust chatbots that can be deployed in diverse applications. This course is ideal for developers, data scientists, and AI enthusiasts who are interested in building intelligent chatbots. A basic understanding of Python programming and machine learning is recommended to get the most out of this course.

Syllabus

Introduction

In this module, we will cover the foundational details of the course and instructor, introducing learners to the benefits of learning through the AI Sciences platform. We’ll explore the overall course structure, highlighting key topics like chatbot technology, its comparison to other systems, and the deep learning frameworks involved.

Fundamentals of Chatbots for Deep Learning

In this module, we will explore the core fundamentals of chatbots, focusing on how deep learning enhances chatbot capabilities. We will compare conventional chatbots with AI-based ones and dive into specific use cases, such as how chatbots function in healthcare, business, and ecommerce, delivering tailored experiences and operational efficiencies.

Deep Learning-Based Chatbot Architecture and Development

In this module, we will dive deep into the architecture and development of chatbots using deep learning. Learners will build chatbots from scratch by implementing frameworks, preparing data, tokenizing text, and training models using tools like TensorFlow and Keras. The module culminates in testing chatbot predictions and optimizing performance.