Learning path: Getting started with Watson Discovery

Level Topic Type
100 Introduction to Watson Discovery Article
101 Create a cognitive news search app Code pattern
201 Create an app to perform intelligent searches on data Code pattern
301 Get customer sentiment insights from product reviews Code pattern
401 Enhance customer helpdesks with Smart Document Understanding Code pattern

This learning path is designed for developers interested in quickly coming up to speed on what Watson Discovery offers and how to use it. It consists of step-by-step tutorials, deep-dive videos, and complete examples of working code. As you proceed through the learning path, you'll work with more complex features as well as different use cases for applying the service.

To get started, click on a card below, or see the previous table for a complete list of topics covered.

Introduction to Watson Discovery


Learn about:

  • What is Watson Discovery?
  • Common architectures
  • Terms and Concepts
  • Demo
  • APIs and SDKs

Create a cognitive news search app


Learn about:

  • Watson Discovery News
  • Enrichments such as classifications and sentiment
  • Integration with Slack
  • Node SDK
  • Discovery API

Create an app to perform intelligent searches on data


Learn about:

  • Private data collections
  • APIs to load and query data
  • Enrichments such as entities and keywords
  • Watson Discovery Continous Relevancy Traninng
  • Building a full featured web app in React/Express

Get customer sentiment insights from product reviews


Learn about:

  • Private data collections
  • Annotate our data collection using Watson Knowledge Studio
  • Building a full featured web app in React/Express
  • Trending enrichments over time

Enhance customer helpdesk with Smart Document Understanding


Learn about:

  • Apply Watson Discovery Smart Document Understanding to your local data
  • Integrate with Watson Assistant to build a chatbot
  • Query data from the chatbot using Watson Cloud Functions


Next: Introduction to Watson Discovery

IBM Developer Staff