Build Chatbots with Watson Assistant
Lab 1: create a Watson Conversation instance
Lab 2: import and create intents
Lab 3: import and create entities
Lab 4: create a dialog flow (conversation)
Watson Developer Cloud SDK
Lab 5: interact with the app programmatically
Lab 6: enhance the sample application
Integrate the weather service introduction
Lab 7: integrate the weather service
Just a walk in the park! In this course, create your own chatbot using the IBM Watson Conversation service. Your chatbot will simulate a conversation around some of the coolest US national parks, such as Arches and Yellowstone. You’ll learn to train your bot, create its dialog, and write code to integrate with external APIs.
Want to know what the weather will be like in Denali? Who wouldn’t? You’ll integrate the IBM Weather Company Data service into your chatbot.
With the IBM® Watson™ Conversation service, you can create an application that understands natural-language input and uses machine learning to respond to users in a way that simulates a conversation between humans.
Watson Conversation uses concepts like intents, entities, and dialog to help you craft powerful conversational experiences. You’ll learn about these concepts and how to apply them by building a chatbot. You’ll also learn how to create conversations declaratively (without code) and programmatically by using the Watson Conversation tooling and Watson Developer Cloud SDK.
Interact with the working version of the national parks application below and try these phrases:
- “Tell me about animals in Denali”
- “Tell me about Zion National Park”
You can also ask “What can you do?” to see a set of options.