AIS Architecture: Overview

AIS Architecture: Overview

This course will introduce Alfresco Intelligence Services (AIS), including the core components, architecture, relationship with Amazon Machine Learning Services and data modeling.

Not currently available

About this course

Overview

This course will introduce Alfresco Intelligence Services (AIS), including the core components, architecture, relationship with Amazon Machine Learning Services and data modeling. The student will also learn how AIS is used within Alfresco Content Services (ACS), the Alfresco Transform Service (ATS) and its core capabilities. The course will conclude with a description of where the AIS results are stored and how they can be accessed.

What Will I Learn?

The learning objectives that are covered by this course are:

  • AIS Components
  • AIS Architecture
  • AIS Renditions & Content Model
  • Features of Amazon Comprehend, Rekognition and Textract

Target Audience

This course is targeted at the following roles:

  • Developers
  • Administrators
  • Architects

Time Required: ~30 minutes

Difficulty: Foundation

Applicability: This course is applicable from v1.0 to v1.1.2. It was written using v1.1.2 and was last modified on March 19, 2020.

Prerequisite Knowledge

This course presumes that the student is familiar with the concepts, approaches, tools, and technologies required in the prerequisite course.

Prerequisite Courses

This course presumes that the student has completed the following course.

Copyright

Alfresco offers you a wide range of content, communication tools, forums, and information about its products and services ("Materials") via this website. Alfresco either owns the intellectual property rights in the Materials on this website or has obtained the permission of the owner of the intellectual property to make it available on this website. You may, view, print and/or download one copy of the Materials from this web site on any single computer solely for your personal, informational, non-commercial use, provided you keep intact all copyright and other proprietary notices. No Materials published by Alfresco on this web site, in whole or in part, may be copied, reproduced, modified, republished, uploaded, posted, transmitted, or distributed in any form or by any means without prior written permission from Alfresco. The use of any such Materials on any other website or networked computer environment or for any other purpose is strictly prohibited and such unauthorized use may violate copyright, trademark and other similar laws. If you believe that your work has been copied in a way that constitutes copyright infringement, please follow our Notice and Procedure for Making Claims of Copyright Infringement.

Disclaimer

Alfresco assumes no responsibility for accuracy, correctness, timeliness, or content of the Materials provided on this website. You should not assume that the Materials on this website are continuously updated or otherwise contain current information. Alfresco is not responsible for supplying content or materials from the website that have expired or have been removed. THE MATERIALS PROVIDED AT THIS WEBSITE ARE PROVIDED ON AN "AS IS" AND "AS AVAILABLE" BASIS. YOUR USE OF THIS WEBSITE IS AT YOUR OWN RISK. ALFRESCO DISCLAIMS ALL WARRANTIES (EXPRESS OR IMPLIED), CONDITION OR OTHER TERM OF ANY KIND, INCLUDING WITHOUT LIMITATION, ANY WARRANTY OF MERCHANTIBILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT OR TITLE. ANY MATERIAL DOWNLOADED OR OBTAINED THROUGH THE USE OF THIS WEBSITE IS DONE AT YOUR OWN RISK AND YOU WILL BE SOLELY RESPONSIBLE FOR ANY DAMAGE TO YOUR COMPUTER SYSTEM OR LOSS OF DATA THAT RESULTS FROM THE DOWNLOAD OF ANY MATERIAL.

Curriculum30 Minutes

  • Introduction
  • Objectives
  • Prerequisites
  • Architecture
  • Components
  • Architecture
  • Data Model
  • AWS Machine Learning Services
  • Amazon Comprehend
  • Amazon Rekognition
  • Amazon Textract
  • Summary
  • Review
  • References
  • Next Steps
  • Course Survey

About this course

Overview

This course will introduce Alfresco Intelligence Services (AIS), including the core components, architecture, relationship with Amazon Machine Learning Services and data modeling. The student will also learn how AIS is used within Alfresco Content Services (ACS), the Alfresco Transform Service (ATS) and its core capabilities. The course will conclude with a description of where the AIS results are stored and how they can be accessed.

What Will I Learn?

The learning objectives that are covered by this course are:

  • AIS Components
  • AIS Architecture
  • AIS Renditions & Content Model
  • Features of Amazon Comprehend, Rekognition and Textract

Target Audience

This course is targeted at the following roles:

  • Developers
  • Administrators
  • Architects

Time Required: ~30 minutes

Difficulty: Foundation

Applicability: This course is applicable from v1.0 to v1.1.2. It was written using v1.1.2 and was last modified on March 19, 2020.

Prerequisite Knowledge

This course presumes that the student is familiar with the concepts, approaches, tools, and technologies required in the prerequisite course.

Prerequisite Courses

This course presumes that the student has completed the following course.

Copyright

Alfresco offers you a wide range of content, communication tools, forums, and information about its products and services ("Materials") via this website. Alfresco either owns the intellectual property rights in the Materials on this website or has obtained the permission of the owner of the intellectual property to make it available on this website. You may, view, print and/or download one copy of the Materials from this web site on any single computer solely for your personal, informational, non-commercial use, provided you keep intact all copyright and other proprietary notices. No Materials published by Alfresco on this web site, in whole or in part, may be copied, reproduced, modified, republished, uploaded, posted, transmitted, or distributed in any form or by any means without prior written permission from Alfresco. The use of any such Materials on any other website or networked computer environment or for any other purpose is strictly prohibited and such unauthorized use may violate copyright, trademark and other similar laws. If you believe that your work has been copied in a way that constitutes copyright infringement, please follow our Notice and Procedure for Making Claims of Copyright Infringement.

Disclaimer

Alfresco assumes no responsibility for accuracy, correctness, timeliness, or content of the Materials provided on this website. You should not assume that the Materials on this website are continuously updated or otherwise contain current information. Alfresco is not responsible for supplying content or materials from the website that have expired or have been removed. THE MATERIALS PROVIDED AT THIS WEBSITE ARE PROVIDED ON AN "AS IS" AND "AS AVAILABLE" BASIS. YOUR USE OF THIS WEBSITE IS AT YOUR OWN RISK. ALFRESCO DISCLAIMS ALL WARRANTIES (EXPRESS OR IMPLIED), CONDITION OR OTHER TERM OF ANY KIND, INCLUDING WITHOUT LIMITATION, ANY WARRANTY OF MERCHANTIBILITY, FITNESS FOR A PARTICULAR PURPOSE, NON-INFRINGEMENT OR TITLE. ANY MATERIAL DOWNLOADED OR OBTAINED THROUGH THE USE OF THIS WEBSITE IS DONE AT YOUR OWN RISK AND YOU WILL BE SOLELY RESPONSIBLE FOR ANY DAMAGE TO YOUR COMPUTER SYSTEM OR LOSS OF DATA THAT RESULTS FROM THE DOWNLOAD OF ANY MATERIAL.

Curriculum30 Minutes

  • Introduction
  • Objectives
  • Prerequisites
  • Architecture
  • Components
  • Architecture
  • Data Model
  • AWS Machine Learning Services
  • Amazon Comprehend
  • Amazon Rekognition
  • Amazon Textract
  • Summary
  • Review
  • References
  • Next Steps
  • Course Survey