Next Virtual Certification Class - TBD, 2023

Contact us today if you would like a quote for this class.

For the online version of the program (eCKS-IA), please click here...
For details on a private class, delivered virtually or on-site at your location,
please click here... (minimum requirement for a private class is 9 students)

Introduction

Interested in Taxonomy? Enterprise Content Management?
What do Knowledge Managers need to benefit?

Join your peers for this deep-dive in Information Architecture (IA),
the fast growing and critically important piece in the evolving
landscape of knowledge-sharing organizations. Become a
master in content management; learn how IA methods and
techniques can help improve "findability" and increase efficiency.
Most importantly, earn your Certification in this fast-growing field! 

FYI: You do not need a background in IA or even KM to get started!

Learn to implement an Information Architecture (IA) that will:

• Drive a user centric taxonomy, metadata and associated keywords to enable consistent labeling, organization, categorization and “findability” of your content.
• Enable Big Data Analytics to exploit relationships and synergies between your data and facilitate your organization’s ability to make decisions utilizing the full spectrum of your big data sources.
• For Internet of Things (IoT), IA offers a viable option in which to construct content that will be represented in a flexible object-oriented fashion.

Audience

• Content managers needing to grow in the field of Information Architecture (IA) and Enterprise Content Management (ECM)
• User Interface/Experience Designers of CM tools and Knowledge Management tools (such as eGain, Oracle KM, and SharePoint)
• Search Analysts and Information Classification Specialists
• Content Curators working with Big Data Analytics and IoT
• Anyone with a Library Science background or Records Management background wanting to understand more about Information Architecture

Objectives

Upon completion of the course, participants will be able to:

• Understand the principles of Information Architecture
• Understand how to develop and apply Content Model, Taxonomy and Metadata Schema
• Understand the use and application of metadata
• Understand the principles of card sorting and how to conduct a Card Sort
• Understand how IA plays a key role in search and the overall user experience
• Understand how to apply IA to your KM and ECM Strategy
• Understanding Content Governance and its role in Information Architecture

Topics Covered

• Information Architecture Principles: Content modeling, Building Taxonomies, Understanding Metadata development and use
• Conducting the Card Sort
• Search Engine Optimization (SEO)
• IA and the User Experience
• Content Governance Principles and Practices
• Incorporating IA in your Knowledge Management and Enterprise Content Management Strategies
   

   KM-IA Toolkit Included --  Each student is provided a “KM-IA Toolkit” – including templates,
   guidelines, PowerPoint presentations, and sample work products.  This helps ensure all
   participants are productive Day One at implementing IA methods in their organizations.

IMPORTANT: All Face to Face (F2F) and Virtual class students gain access to the complete online version of the IA Master Course as well, available at our LMS.  This adds more value to the student for improved studying, so you can access the critical modules you need months or years after class.

Course Overview PDF (downloadable, printable)...

Meet your Instructor

Dr. Anthony J. Rhem, PhD.: serves as the President and Principal Consultant of A.J. Rhem & Associates, Inc., a privately held Knowledge Management & System Integration Consulting, Training and Research firm located in Chicago, Illinois.

Dr. Rhem has over thirty (30) years of experience in information technology and twenty years (20) in Knowledge Management. A published author, educator, and researcher; Dr. Rhem has presented the application and theory of Software Engineering Methodologies, Knowledge Management, and Artificial Intelligence, Big Data and IoT at universities and conferences in the US and Europe.