Packt
Chatbots for Beginners: A Complete Guide to Build Chatbots
Packt

Chatbots for Beginners: A Complete Guide to Build Chatbots

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
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.

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

Packt
Packt
170 Courses2,469 learners

Offered by

Packt

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