Chatbots

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.

45 already enrolled

Instructors:

Ian McCulloh

English

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

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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

AWS Chatbot Implementation

Conversational AI

Machine Learning

BERT

Text Classification

Amazon Lex

Performance Metrics

Natural Language Processing

Cloud Computing

This course includes:

4 Hours PreRecorded video

8 assignments, 1 ungraded lab

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Created by

Johns Hopkins University

Provided by

Coursera

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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

Ian McCulloh

1,222 Students

17 Courses

Pioneering Social Network Analysis and AI at Johns Hopkins University

Dr. Ian McCulloh is an esteemed associate professor at Johns Hopkins University, holding joint appointments in the Bloomberg School of Public Health and the Whiting School of Engineering. His research focuses on social neuroscience, social network analysis, and the application of artificial intelligence to enhance understanding of online influence and strategic communication. With over 100 peer-reviewed publications and several influential books, including Social Network Analysis with Applications and ISIS in Iraq: Understanding the Social and Psychological Foundations of Terror, Dr. McCulloh has established himself as a leading voice in his field. He also founded the Brain Rise Foundation, a nonprofit dedicated to advancing neuroscience research for substance abuse recovery. Prior to his academic career, he had a distinguished military service, retiring as a Lieutenant Colonel after 20 years, during which he led innovative projects in data-driven social science research for countering extremism. Dr. McCulloh's multifaceted expertise and commitment to applying science for societal benefit make him a valuable asset to both academia and public health initiatives.

This course includes