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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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Instructors:

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Chatbots

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

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.

Certificate

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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
Ian McCulloh

1,253 Students

17 Courses

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.

Chatbots

This course includes

13 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.