Introducing the Watson APIs
IBM Watson is a platform of APIs that IBM has trained on immense data sets for use as a service. The Watson APIs allow you to process speech, text, and images in an easy and natural way. They also allow you to further train services with your own custom data to provide context-specific analysis. In this stage we'll get a good feel for what you can build with Watson APIs.
Chevron 9 steps -
Course Overview
4:07
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What is Watson Used For?
3:13
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Trying it Out
5:10
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IBM Cloud and a Sample Chatbot
5:00
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How Conversation and Discovery Services Work Together
4:19
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How Conversation and Tone Analyzer Services Work Together
3:33
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Starting Our Project on IBM Cloud
7:12
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Starting Our Local Client
6:28
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Review: What is Watson?
6 questions
Using the Conversation Service
The heart of our chatbot is built using Watson's Conversation APIs. In this stage we'll build and test a custom Conversation Service and see how it is used from our client app.
Chevron 10 steps -
Intents, Entities, and Dialogs
3:30
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Creating an Intent
4:25
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Review: Intents
5 questions
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What's Happening in My Node.js Code?
4:44
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Clarifying with an Entity
6:33
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Review: Entities
4 questions
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Responding with a Dialog
2:39
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Responding to an Intent
4:51
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Exporting and Importing Components
7:21
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Review: Dialogs
5 questions
Using the Discovery Service
The real fun and power of the Watson platform happens when we start combining multiple services together to create more context-aware and capable systems. In this stage we will setup and integrate the Discovery API, which allows us to gather insights from unstructured or loosely defined data sets.
Chevron 8 steps -
Getting Started with the Discovery Service
4:19
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Creating a Discovery Collection
7:31
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Uploading AirBnb Reviews
2:54
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Querying Using the Discovery Tools
2:56
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Querying Using the Discovery API
7:31
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Transferring from Conversation to Discovery
12:11
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Wrapping Up and Next Steps
1:51
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Review: Discovery Service
6 questions
