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.
Chatbots for Beginners: A Complete Guide to Build Chatbots
Chatbots for Beginners: A Complete Guide to Build Chatbots
Instructor: Packt - Course Instructors
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Understand the fundamentals of chatbot development, including history, applications, and types.
Develop machine learning-based chatbots using NLTK and Python.
Create deep learning chatbots with TensorFlow and Keras.
Implement chatbots using Amazon Lex and integrate with AWS Lambda and Twilio.
Skills you'll gain
Details to know
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Recently updated!
September 2024
Assessments
1 assignment
Taught in English
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There are 4 modules in this course
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.
What's included
7 videos1 reading
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.
What's included
39 videos
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.
What's included
24 videos
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.
What's included
31 videos1 assignment
Instructor
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Recommended if you're interested in Mobile and Web Development
Coursera Instructor Network
Microsoft
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.