Ferris Knowledge Engineering
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Learn Success Stories Assessment Get Started

Learning Modules

Master knowledge engineering principles through practical, actionable modules. Each module builds on the last, taking you from fundamentals to implementation.

1 5 min

Data Management × Knowledge Management in the Age of Agents

How data and knowledge merge when AI agents enter the picture

fundamentals ai-agents data-management
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2 6 min

Human vs. LLM vs. Agentic Knowledge

Three fundamentally different types of knowledge that must work together

fundamentals ai-agents llm
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3 7 min

Capabilities, Skills and Tools

Building the bridge between what humans know and what AI can do

frameworks capability-mapping ai-readiness
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4 7 min

Time, Memory and Forgetting

Why knowledge systems need to evolve, not just accumulate

lifecycle knowledge-maintenance ai-quality
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5 7 min

Starting Small but Supported

The smart path from pilot to scale

implementation pilot scaling
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6 7 min

Learning and Measurement

How to know if your knowledge engineering is actually working

measurement feedback-loops continuous-improvement
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99 3 min

MDX Components Demo

Demonstration of enhanced MDX components for learning modules

demo components
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Ready to Apply This Knowledge?

Take our assessment to discover which knowledge engineering methods are right for your use case.

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Ferris Knowledge Engineering

We help companies preserve their knowledge and make it accessible for AI agents.

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