W7068G - IBM Watson Discovery for Developers

In this 6 hour web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.

Duration: 1.0 day

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  • Discovery overview: Architecture of Watson Discovery
  • Discovery overview: Administering security in Watson Discovery
  • Discovery overview: Creating a collection
  • Configuring a Discovery collection
  • Ingesting data into a


1. Discovery overview: Architecture of Watson Discovery

  • Describe Discovery architecture in a cloud environment
  • Describe content creation within Discovery
  • Describe Discovery data collection runtime flows
  • Describe Discovery user runtime flows

2. Discovery overview: Administering security in Watson Discovery

  • List types of security used in Watson Discovery on Cloud
  • Describe how Discovery service credentials are used
  • Describe a common use case for securing private data within Discovery

3. Discovery overview: Creating a collection

  • Instantiate Watson Discovery
  • Connect to a Discovery instance
  • Create a collection

4. Configuring a Discovery collection

  • Configure enrichments for a paticular business case
  • Use tooling and APIs to configure a Discovery collection
  • Use Smart Document Understanding to identify fields from documents

5. Ingesting data into a Discovery collection

  • Describe use cases for using APIs, tooling and data sources to ingest data
  • Describe the steps for ingesting documents into Discovery
  • Perform ingestion operations such as add, update and delete documents
  • Describe ingestion limitations

6. Querying a Discovery collection

  • Explain simple, combined and aggregate queries
  • Explain search and structure parameters, operators and aggregation types for querying a collection
  • Use the Discovery query language for constructing queries

7. Querying a Discovery collection: Relevancy training

  • Explain the purpose of relevancy training
  • Detail the process of using relevancy training for improving results

8. Querying a Discovery collection: Passage retrieval

  • Explain the purpose of passage retrieval
  • Describe passage retrieval settings and usage
  • Use passage retrieval to return pointed results


Analysts, Developers, and others who need to monitor machine learning jobs


  • Basic knowledge of cloud platforms, for example IBM Cloud
  • Basic understanding of enterprise search and natural language



Course Benefits

  • Career growth
  • Broad Career opportunities
  • Worldwide recognition from leaders
  • Up-to Date technical skills
  • Popular Certification Badges

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