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IBM Watson Discovery for Developers
Course Description
Overview
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.
Objectives
• 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 Discovery collection • Querying a Discovery collection • Querying a Discovery collection: Relevancy training • Querying a Discovery collection: Passage retrieval
Audience
Analysts, Developers, and others who need to monitor machine learning jobs
Prerequisites
• Basic knowledge of cloud platforms, for example IBM Cloud • Basic understanding of enterprise search and natural language
Topics
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 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 Discovery overview: Creating a collection
• Instantiate Watson Discovery
• Connect to a Discovery instance
• Create a collection 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 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 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 Querying a Discovery collection: Relevancy training
• Explain the purpose of relevancy training
• Detail the process of using relevancy training for improving results 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
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Self-Paced Training Info
Learn at your own pace with anytime, anywhere training
- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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Self-Paced Training Terms & Conditions
IBM Web Based Training courses are sold on a per-user basis. WBT courses provide a training advantage for you and your teams, helping you get up to speed quickly. Take the courses you need, at your convenience and at your own pace.
You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.
System Requirements
To participate in this course, the student workstation must meet the following hardware requirements:- Minimum of 256 MB of memory
- Windows Vista or Windows 7-10 (32-bit or 64-bit edition)
- Internet Explorer 6 or higher or Firefox ESR
- 128-bit encryption
- Citrix Receiver for connection to the IBM Remote Lab Platform
- Java
- Access to Internet with at least 128 kbps down and 128 kbps up
- Other platforms/combinations may work but are not officially supported by IBM.
Exam Terms & Conditions
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