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Watson Explorer Foundational Components (v11) Course Overview

Watson Explorer Foundational Components (v11) Course Overview

The Watson Explorer Foundational Components (v11) course is designed to provide learners with a comprehensive understanding of the Watson Explorer technology, enabling them to harness the power of cognitive search and content analytics. The course takes a deep dive into the product's architecture, administrative tools, and essential components, such as the engine, crawler, converter, and indexer. It also covers the creation and management of search collections, adding sources, and configuring the display of search results.

Learners will gain practical knowledge through lessons on the Natural Language Query Module and Results Module, which are critical for refining search capabilities. The course further introduces the AppBuilder, detailing its components, design process, and search implementation, allowing students to create intuitive applications. Additional lessons on endpoints and the Annotation Administration Console equip learners with the skills to manage annotations effectively.

By the end of the course, participants will have a robust skill set to implement and manage Watson Explorer solutions, facilitating enhanced information discovery for their organizations.

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Target Audience for Watson Explorer Foundational Components (v11)

  1. The Watson Explorer Foundational Components (v11) course equips IT professionals with skills in advanced data exploration and analysis.


  2. Target Audience for the Course:


  • Data Analysts
  • Business Intelligence Professionals
  • IT Developers specializing in search and content analytics
  • Data Scientists interested in cognitive exploration
  • Information Architects
  • Solution Architects
  • System Administrators managing Watson Explorer applications
  • Application Developers creating cognitive apps using Watson Explorer
  • Technical Project Managers overseeing Watson Explorer implementations
  • AI and Machine Learning Enthusiasts with a focus on natural language processing


Learning Objectives - What you will Learn in this Watson Explorer Foundational Components (v11)?

Introduction to Watson Explorer Foundational Components (v11) Course Learning Outcomes:

This course provides a comprehensive understanding of IBM Watson Explorer's foundational components, focusing on product architecture, administration, and application development for cognitive search and content analytics.

Learning Objectives and Outcomes:

  • Understand the Watson Explorer architecture and its core components to effectively manage and utilize the platform.
  • Learn to configure and use the Engine Admin Tool for system administration and monitoring.
  • Gain proficiency in creating and managing Engine Search Collections to optimize search capabilities.
  • Master the Engine Crawler functions to accurately retrieve and process data from various sources.
  • Develop skills to use the Engine Converter for transforming data into a standardized format suitable for indexing.
  • Acquire the ability to configure the Engine Indexer for efficient content indexing and retrieval.
  • Understand how to define and manage Engine Sources for data ingestion from diverse repositories and formats.
  • Learn how to customize Engine Display templates to enhance user search experience and results presentation.
  • Gain knowledge of implementing Natural Language Query capabilities to enable intuitive search experiences.
  • Explore the AppBuilder environment to design, build, and deploy search-based applications with rich user interfaces.
  • Understand the Results Module to refine search results and relevancy tuning.
  • Familiarize with the Annotation Administration Console for managing text analytics and machine learning models within Watson Explorer.

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