Chatbots
Master chatbot development using AWS services and machine learning. Learn to design, build, and optimize conversational AI interfaces.
Master chatbot development using AWS services and machine learning. Learn to design, build, and optimize conversational AI interfaces.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Social Computing Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Design and implement chatbots using AWS services
Build machine learning classifiers with BERT for text analysis
Evaluate chatbot performance using metrics
Create functional conversational interfaces
Optimize chatbot design for various applications
Skills you'll gain
This course includes:
4 Hours PreRecorded video
8 assignments, 1 ungraded lab
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores chatbot technology and implementation using AWS services. The curriculum covers chatbot history, mechanics, and design principles, with hands-on experience using Amazon Lex. Students learn to build machine learning classifiers with BERT, evaluate performance metrics, and develop functional chatbots. Through practical projects and collaborative learning, participants gain skills in both theoretical understanding and practical implementation of conversational AI.
Course Introduction
Module 1 · 11 Minutes to complete
Introduction to Chatbots
Module 2 · 4 Hours to complete
Building a Classifier
Module 3 · 4 Hours to complete
Create Your Own Chatbot
Module 4 · 4 Hours to complete
Fee Structure
Instructor
Leading Expert in AI and Social Network Analysis at Johns Hopkins University
Dr. Ian McCulloh is an esteemed associate professor at Johns Hopkins University, where he teaches in both the Bloomberg School of Public Health and the Whiting School of Engineering. He manages the Artificial Intelligence (AI) portfolio within the Johns Hopkins Lifelong Learning program, focusing on innovative applications of AI in various fields. With a PhD from Carnegie Mellon University, Ian has established a strong reputation for his research in social neuroscience, social network analysis, and artificial intelligence. He is the author of several influential works, including "Social Network Analysis with Applications" and "ISIS in Iraq: Understanding the Social and Psychological Foundations of Terror." His extensive publication record includes over 100 peer-reviewed papers that explore the intersections of technology and human behavior.In addition to his academic roles, Ian has a rich background in industry, having previously led Accenture’s federal artificial intelligence practice, where he oversaw significant AI programs for the U.S. Federal Government. He is also actively involved in teaching various courses on Coursera, such as "AI Project Management" and "Artificial Intelligence in Social Media Analytics." His commitment to advancing knowledge in AI and its ethical applications underscores his impact on both academia and industry.
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Frequently asked questions
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