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Inicio / Buscador / Ciencias de la Computación / Chatbot
Politecnico di Milano vía Coursera
GRATIS

Building AI Powered Chatbots Without Programming

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  • Module 1: Introduction to Chatbots
    • 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.
  • Module 2: Working with Intents
    • 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.
  • Module 3: Entities
    • 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.
  • Module 4: Dialog
    • 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.
  • Module 5: Deployment
    • 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.
  • Module 6: Context Variables & Slots
    • 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.
  • Module 7: Digressions
    • 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.
  • Summary
    • Welcome to Module 8, your summary module. where it's time to review what you've learned about building chatbots and discover how you can make money creating chatbots with a great offer from IBM.
  • (Optional) Watson Actions
    • 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.
  • Final Exam