Introduction

Have you ever experienced a situation when you just can't find that document on your content management system or a specific job aid, standard operating procedure, or knowledge article in your knowledge repository?

Maybe you're using a system or website, where the navigation and labeling do not match what you do or how you perform your job. Or worse, your organization has different names for the same or similar content, and you are not sure you found or are using the correct content.

Perhaps your organization is beginning a Gen AI initiative, and you need to learn how to architect/structure prompts for tools such as OpenAI’s ChatGPT, Google’s Bard, or Google’s Gemini.

A proven solution to address these business cases is to understand how to use IA that will:

• Drive a user-centric taxonomy, metadata, and content associations to enable consistent labeling, organization, categorization, and “findability” of your content.
• Build intuitive taxonomies to exploit relationships and synergies between your content and facilitate your organization’s ability to make decisions utilizing the full spectrum of your content sources.
• Structure prompts to extract deep insights from your organization's content or research on the web using Gen AI tools such as OpenAI’s ChatGPT, Google’s Bard, or Google’s Gemini.

Audience

• Knowledge Management Specialists, Content Managers/Specialists needing to grow in the field of Information Architecture (AI).
• Strategists needing to understand Information Architecture’s influence and connection to Knowledge Management, and Enterprise Content Management (ECM) strategies.
• User Interface/Experience Designers of CM tools and Knowledge Management tools.
• Search Analysts and Information Classification Specialists.
• Anyone with a Library Science background or Records Management background wanting to understand more about Information Architecture.
• Anyone working with Gen AI tools such as OpenAI’s ChatGPT, Google’s Bard, or Google’s Gemini, and wants to have a better understanding of how to structure prompts.

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 to your Knowledge/Content Management solution.
• 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.
• Understanding of how to structure prompts for tools such as OpenAI’s ChatGPT, Google’s Bard, or Google’s Gemini.

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 Knowledge Management and Enterprise Content Management
• IA & AI Focus on Prompt Engineering

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 virtual class students gain access to the complete self-paced 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 even 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.

Group or Private Class?

Let us come to you! For a minimum of 10 students (North America) and 12 students internationally, KMI can deliver a private Info Arch Certification class at your location or nearby hotel.

Benefits:

• We come to you!
• Save on travel
• The Team learns together
• Focus on your team's hot-button issues
• Low cost per student

Please contact KMI for special rates and availability.
Please allow at least 30 days to coordinate and schedule.