The course "Chatbots" offers a deep dive into the world of chatbots, equipping learners with the skills to design, build, and optimize conversational interfaces. You will explore the evolution of chatbot technology and understand the fundamental mechanics that drive their functionality. Through hands-on projects using Amazon Lex and AWS, you'll not only learn to create chatbots but also how to evaluate their performance using machine learning classifiers.
Chatbots
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Chatbots
This course is part of Social Computing Specialization
Instructor: Ian McCulloh
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
13 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Explore the history and mechanics of chatbots, enhancing your understanding of their design and function.
Construct and evaluate machine learning classifiers using BERT for effective text classification tasks.
Gain hands-on experience in creating and configuring functional chatbots using AWS Chatbot services.
Skills you'll gain
Details to know
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Recently updated!
September 2024
Assessments
8 assignments
Taught in English
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This course is part of the Social Computing Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
Explore the practical applications of machine learning through hands-on modules covering data pre-processing, feature extraction, model evaluation, and supervised learning techniques. Delve into specialized topics such as computer vision and learn to implement and assess various machine learning models. This course combines theoretical insights with practical lab activities to equip you with essential skills in applied machine learning
What's included
1 reading1 plugin
In this module, you'll delve into the fascinating world of chatbots, covering their historical development and evolution. Understand the basic mechanics behind how chatbots work and explore fundamental design principles essential for enhancing their performance. Gain practical insights into building and optimizing chatbots using Amazon Lex, a leading platform for developing conversational interfaces. By the end of this module, you'll have a comprehensive understanding of chatbot technology and its application across various industries.
What's included
2 videos2 readings3 assignments
In this module, you’ll focus on constructing and evaluating machine learning (ML) classifiers using crowdsourced data. You’ll learn how to leverage BERT (Bidirectional Encoder Representations from Transformers) in R and TensorFlow for text classification tasks. You’ll also gain hands-on experience in building ML models that classify text data effectively. You’ll learn to calculate and interpret ML performance metrics to assess classifier accuracy and reliability. By the end of this module, you'll be equipped with practical skills to develop robust classifiers capable of handling diverse datasets.
What's included
1 reading2 assignments1 ungraded lab
This module will guide you through the process of building your own chatbot using AWS (Amazon Web Services). You’ll begin with an introductory conceptual video outlining chatbot creation concepts. You’ll dive deep into practical implementation with AWS Chatbot, learning step-by-step how to set up and configure your chatbot. You will also explore strategies to make your chatbot operational and effective. You’ll collaborate with classmates to exchange ideas and troubleshoot challenges, fostering a supportive learning environment. By the end of this module, you'll have the skills and confidence to develop functional chatbots tailored to various applications.
What's included
3 readings3 assignments5 plugins
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