Business
Business Software
Microsoft Office 365
Microsoft SharePoint

Using Microsoft SharePoint Syntex for AI Document Management (2021)

Created By
Phil Gold via LinkedIn Learning
  • 0
  • 1-2 hours worth of material
  • LinkedIn Learning
  • English
Using Microsoft SharePoint Syntex for AI Document Management (2021)

Course Overview

Learn to build an AI-driven document recognition system for Microsoft SharePoint.

Course Circullum

Introduction
  • Introduction
1. Fundamentals and Best Practices
  • What is SharePoint Syntex?
  • Who can use Syntex?
2. The Importance of Planning
  • Form processing models
  • Document processing models
  • Understanding your data
  • Building scenarios
3. Setting Up Syntex
  • Activating Syntex
  • Authorizing users
4. Create a New Document Understanding Model
  • Creating a new SharePoint Content Center
  • Creating the model
  • Importing training files
5. Identify Documents with Classifiers
  • Labeling positive and negative examples
  • Creating an explanation
  • Testing your classifier
6. Find Key Data with Extractors
  • Creating your first extractor and labels
  • Adding an explanation
  • Using patterns in explanations
  • Proximity
  • Applying your model to a library
7. Form Processing Models
  • Creating a form processing model
  • Naming fields and adding documents
  • Selecting your form fields
  • Training and test your model
  • Publishing and using your model
8. Useful Model Tools
  • Duplicating, renaming, or deleting a model
  • Applying a retention label
  • Modeling usage analytics
Conclusion
  • Where to go from here
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This Course Include:
Introduction
  • Introduction
1. Fundamentals and Best Practices
  • What is SharePoint Syntex?
  • Who can use Syntex?
2. The Importance of Planning
  • Form processing models
  • Document processing models
  • Understanding your data
  • Building scenarios
3. Setting Up Syntex
  • Activating Syntex
  • Authorizing users
4. Create a New Document Understanding Model
  • Creating a new SharePoint Content Center
  • Creating the model
  • Importing training files
5. Identify Documents with Classifiers
  • Labeling positive and negative examples
  • Creating an explanation
  • Testing your classifier
6. Find Key Data with Extractors
  • Creating your first extractor and labels
  • Adding an explanation
  • Using patterns in explanations
  • Proximity
  • Applying your model to a library
7. Form Processing Models
  • Creating a form processing model
  • Naming fields and adding documents
  • Selecting your form fields
  • Training and test your model
  • Publishing and using your model
8. Useful Model Tools
  • Duplicating, renaming, or deleting a model
  • Applying a retention label
  • Modeling usage analytics
Conclusion
  • Where to go from here
  • Provider:LinkedIn Learning
  • Certificate:Certificate Available
  • Language:English
  • Duration:1-2 hours worth of material
  • Language CC:

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