Transformation 6.3 Essentials Training & Certification | ILT-TR-TR-063

Course Title: Transformation 6.3 Essentials Training & Certification
Course ID: ILT-TR-TR-063
Training Method: Classroom Training
Duration: 4 3/4 days
List Price: $4000 USD (Add to cart to view applicable discounts)
Order Part Number: TR-5000-0001

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Prerequisites:

Students attending this course should have already completed one of the following courses:

• Capture 11.0 Essentials Training & Certification | OD-C-ESS-110
• Capture 11.0 Essentials Training & Certification | ILT-C-ESS-1

Methodology: Illustrated lecture and discussion, demonstrations and hands-on lab exercises

Audience: IT Professionals & End Users installing and configuring Kofax Transformation Modules

Abstract: This course is intended for certified Kofax Capture Technical Solutions Specialists who are participating in the design, implementation and support of an advanced component-based document imaging and forms processing solution using Kofax Transformation. At the conclusion of the course, students will have the opportunity to take an examination for certification as a Kofax Transformation 6 Technical Solutions Specialist.

Objectives: By the end of training, attendees will be able to:

• Install KT 6
• Install the Search & Matching Server
• Install the Thin Client Server
• Design a simple KT project, identifying required classes, methods of separation, and extraction
• Build three basic projects (one for benchmarking, one for invoices and one for unstructured forms) using a logical sequence and best practices, setting up layout, instruction and adaptive feature classifier classification methods, scantime and basic separation and automatic extraction using basic locators:
• Bar Code Locators
• Identify and train for “top” vendors for invoice projects
• Set up validation rules, methods and forms
• Configure database lookups
• Integrate KT with KC and process batches through all KT queues
• Test configuration using the extraction benchmark, separation benchmark and classification
• benchmark tools
• Describe the differences between generic and specific learning and knowledge bases
• Describe required knowledge base maintenance and build new knowledge bases from imported online learning samples.
• Build a project that uses trainable document separation using KTM’s auto-clustering feature
• Pass a certification exam with a score of 85% or higher.