IBM
Building AI Powered Chatbots Without Programming
IBM

Building AI Powered Chatbots Without Programming

This course is part of multiple programs.

Antonio Cangiano

Instructor: Antonio Cangiano

Sponsored by Coursera Learning Team

79,192 already enrolled

Gain insight into a topic and learn the fundamentals.
4.7

(3,319 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 11 hours
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.7

(3,319 reviews)

Beginner level

Recommended experience

Flexible schedule
Approx. 11 hours
Learn at your own pace
96%
Most learners liked this course

What you'll learn

  • Explain the fundamentals of a chatbot, including its key features and the benefits of implementing chatbots in customer service.

  • Explain the role of action workflows used in a chatbot to enhance the customer experience.

  • Elaborate on the differences between decision trees and generative AI chatbots.

  • Evaluate the balance of control and flexibility in chatbot applications.

Details to know

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Assessments

9 assignments

Taught in English

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There are 10 modules in this course

Welcome to Module 1 where you’ll quickly gain insights into the world of chatbots. First, you’ll learn to define what chatbots are. You’ll explore the intriguing history of messengers and learn about the AI-enabled rise of chatbots. You’ll be able to explain who chatbots are for and why chatbots matter. You’ll begin creating the chatbot you will build in this course and create an instance of IBM Watson Assistant to use with your chatbot build.

What's included

2 videos2 readings1 assignment1 app item3 plugins

In Module 2, you’ll become acquainted with how chatbots work and learn how to identify three primary components of a chatbot: intents, entities, and dialogs. You discover the purpose and use of intents, the first essential component of a dialog skill. You’ll gain skills learning how to create your intents and how to add and import intents using the IBM Watson Assistant Content Catalog and CSV files. You’ll learn how to train your intents and use the “Try it Out” panel to test your intents.

What's included

1 video1 reading1 assignment2 plugins

In Module 3, you’ll focus on entities, the second key component of a chatbot dialog skill. You’ll gain hands-on skills learning how to create, modify, and delete entities. You'll discover how to use the IBM Watson Assistant Content Catalog and CSV files to add and import entities. Next, learn how chatbots use entity value synonyms and patterns. Then, discover the unique features available when you use system entities, and gain additional, practical skills by using the “Try it Out” panel capabilities to test your entities.

What's included

1 video1 reading1 assignment2 plugins

In Module 4, you’ll unify your prior learning with the third component of dialogue skills, the dialogue itself. You’ll learn how to define domain-specific intents, how to create a parent node and a child node and discover how chatbots use child nodes to engage in domain-specific conversation. Then explore how chatbots handle conditional actions, in this case, how to respond to location address requests.

What's included

2 videos1 reading1 assignment3 plugins

In Module 5, you’ll explore the process of deploying a chatbot. First, you’ll create an Assistant and link that Assistant to your dialog skill. Then, you’ll learn how to preview and share your chatbot and obtain a WordPress site and use this site for chatbot testing purposes. Round out your learning by exploring additional features offered by the Watson Assistant WordPress plugin.

What's included

1 video1 reading1 assignment1 app item2 plugins

In Module 6, you’ll learn about and gain hands-on experience using advanced chatbot features, including training your chatbot to work with context variables, collecting user input, and using slots to set context variables.

What's included

1 video1 reading1 assignment2 plugins

In Module 7, explore additional advanced chatbot features, such as handling digressions or unexpected questions, so the chatbot can respond more gracefully. You’ll also explore the Analyze tab inside of Watson Assistant to learn how your chatbot is being used, observe the conversations people are having with the chatbot, and determine how you can improve the chatbot. In some instances, your chatbot prompts and responses might call might need to stay on premises. Explore how you can maintain your data privacy and use IBM Watson Assistant and other IBM Cloud services on premises.

What's included

1 video2 readings1 assignment2 plugins

Welcome to Module 8, your summary module. where it's time to review what you've learned about building chatbots.

What's included

1 video

In optional Module 9, explore Watson Assistant and learn how to migrate dialog skills to actions. Then further your experience with Watson Assistant by gaining hands-on experience with creating Watson actions, activating dialogs, migrating dialog skills, migrating intents and entities, and calling an action from a dialog.

What's included

3 videos2 plugins

What's included

1 video1 reading2 assignments

Instructor

Instructor ratings
4.7 (637 ratings)
Antonio Cangiano
IBM
5 Courses238,805 learners

Offered by

IBM

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