LENGTH: 32 Hours (4 days)
In this course, you will learn the core features and functionality of Watson Explorer Analytical Components. This functionality is found in Watson Explorer Advanced Edition. The Advanced Edition also includes the Foundational Components functionality which is covered in a separate 4 day course (O3100).
This course is designed to introduce the technical student to using the content analytics, annotator, and content mining functionality. This primary functionality is found in an Analytics collections crawling, parsing, indexing, annotating, and searching components. In this course we will look at the results of analytic collections thru the products Content Miner application. This course will also look at creating and deploying a custom annotator using Content Analytics Studio.
This course offers hands-on labs giving students exposure to the various aspects of configuring analytics collections and creating custom annotators that can be used in solutions that will involve Watson Explorer Analytical Components functionality.
Please refer to course overview
This is an intermediate course for System Administrators, Solution Architects/Designers, Software Architects/Engineers, and Software Developers who will deploy, manage and/or administer IBM Watson Explorer Advanced Edition (Analytical Components).
The main focus is on using the Analytical Components functionality so you can decide how its capability can be used meet your content analytics and content mining solution needs.
Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.
GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:
Once you enroll in a GTP class, you will receive a confirmation letter that should show: