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What is Conversational AI?

215 USD
5 Hours
Self-Paced Training (WBT)
IBM Business Partner

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Course Description


In recent years there has been rapid development of AI systems aimed at communicating with humans. Advances in machine learning mean that chatbots and virtual agents are becoming ever-more capable of understanding, assisting, and entertaining us. Conversational AI is the field that encompasses these technologies, including their design, implementation, and applications.  This course introduces learners to Conversational AI and its associated technologies, examining its historical development, its contemporary forms and applications, and other key considerations in its use, all with a particular emphasis on business. The course will focus on intuitions, examples, and concepts surrounding Conversational AI, as opposed to its technical implementation—no coding is required.


IBM Customers and Sellers: If you are interested in this course, consider purchasing it as part of one of these Individual or Enterprise Subscriptions:

  • IBM Learning for Data and AI Individual Subscription (SUBR022G)
  • IBM Learning for Data and AI Enterprise Subscription (SUBR004G)
  • IBM Learning Individual Subscription with Red Hat Learning Services (SUBR023G)


• Defining Conversational AI • A Brief History of Conversational AI • Conversational Solutions in Business • Building a Conversational Agent • Conversational Solution Design • Conversational AI Laws and Ethics • What's Next for Conversational AI?


This course is intended primarily for learners with a focus on business and/or technology, and specifically those seeking to better understand what Conversational AI is, where it came from, and how it can benefit their organizations. Although the course does not cover the technical aspects of building Conversational AI, Data Scientists, Machine Learning Engineers, and other technically-inclined learners may still find concepts and best practices introduced in the subject matter to be useful.


    No prerequisite knowledge is assumed, however a basic understanding of artificial intelligence and machine learning (i.e. what they are, what they do) will be beneficial.


Defining Conversational AI 
• Identify elements of human conversation 
• Examine the functions that artificial intelligence can play when interacting with humans 
• Consider how what constitutes “artificial intelligence” may change over time A Brief History of Conversational AI 
• Contemplate the importance of Conversational AI to the history and ongoing development of artificial intelligence 
• Characterize the role of chatbots in the history of Conversational AI, and how they differ from other modern variants of the technology 
• Identifying key supporting technologies that enabled the development of Conversational AI Conversational Solutions in Business 
• Examine Conversational AI in direct customer-assistance use cases 
• Examine Conversational AI as an agent-assist tool 
• Identify additional sources of business value Building a Conversational Agent 
• Consider challenges and properties of human natural language relevant in building Conversational AI 
• Define dialogue frameworks and the GUS architecture  
• Analyze information retrieval approaches as they apply to building Conversational AI Conversational Solution Design 
• Define Conversational Solutions and IBM's four-step approach to building and deploying them 
• Consider risks and challenges at specific stages of the process of building and deploying Conversational Solutions 
• Examine specific best practices for Conversational Solutions Conversational AI Laws and Ethics 
• Identify key regulations affecting the building and deployment of Conversational AI in various parts of the world 
• Consider ways that Conversational AI can be used to misinform or harm users, either intentionally or unintentionally 
• Examine specific cases where Conversational AI can be used to help and harm—what works and what does not What's Next for Conversational AI? 
• Examine the role of generative AI and other contemporary machine learning approaches in recent Conversational AI models, and consider how further advancements in these fields will change Conversational AI going forward 
• Witness one cutting-edge Conversational AI system in action: IBM Project Debater  

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Self-Paced Training Info

Learn at your own pace with anytime, anywhere training

  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
  • e-Learning content varies by course and technology.
  • View the Self-Paced version of this outline and what is included in the SPVC course.
  • Learn more about e-Learning

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Self-Paced Training Terms & Conditions

IBM WEB BASED TRAINING (WBT) IS SELF-DIRECTED AND SELF-PACED. Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Web Based Training courses are non-refundable. Once you purchase a Web Based Training course, you will be charged the full price.

IBM Web Based Training courses are sold on a per-user basis. WBT courses provide a training advantage for you and your teams, helping you get up to speed quickly. Take the courses you need, at your convenience and at your own pace.

You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.

System Requirements

To participate in this course, the student workstation must meet the following hardware requirements:
  • Minimum of 256 MB of memory
  • Windows Vista or Windows 7-10 (32-bit or 64-bit edition)
  • Internet Explorer 6 or higher or Firefox ESR
  • 128-bit encryption
  • Citrix Receiver for connection to the IBM Remote Lab Platform
  • Java
  • Access to Internet with at least 128 kbps down and 128 kbps up
  • Other platforms/combinations may work but are not officially supported by IBM.


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