Knowledge Management Foundations
Build the foundations for practical Knowledge Management.
Core concepts, practices, governance, learning, measurement, and AI readiness.
A self-paced introduction to the ideas and practices that help organizations create, share, apply, govern, and improve knowledge in real work.
Start with the Foundations
Knowledge Management that connects directly to work.
This course introduces the distinction between data, information, and knowledge; tacit and explicit knowledge; the KM lifecycle; people, process, technology, culture, governance, lessons learned, change, measurement, AI, and practical KM methods. The emphasis remains on applying these concepts to real organizational problems and decisions.
Course Resource
Knowledge Management Foundations
Use the Foundations book as the core study guide while you move through the online learning modules and prepare for the final assessment.
Open Study Guide PDF →Foundations Framework
Five pillars that have to work together.
The course uses five practical pillars. Weakness in any one of them makes the overall Knowledge Management system more fragile.
Course Learning Path
Fifteen modules from concepts to application.
Work through the sequence in order, using each module to connect the Foundations material to practical organizational situations.
What Is Knowledge Management?
Purpose, scope, and the distinction between KM, information management, and data management.
Open module → 02Knowledge, Context, and Learning
Tacit and explicit knowledge, knowledge conversion, learning, and knowledge risk.
Open module → 03The Five Pillars of KM
People, processes, technology, organizational culture, and governance.
Open module → 04The Knowledge Lifecycle
Identify, capture, organize, share, apply, retain, and improve knowledge.
Open module → 05Lessons Learned
Turn experience into validated lessons that improve future performance.
Open module → 06KM and Change Management
Use knowledge, learning, and feedback to make new behaviors stick.
Open module → 07KM and AI
Why curated, governed knowledge is essential for trustworthy AI.
Open module → 08A Practical KM Roadmap
Start with a real business problem, prove value, and scale deliberately.
Open module → 09Measuring KM
Connect leading and lagging measures to meaningful organizational outcomes.
Open module → 10Common Pitfalls
Avoid predictable failures in ownership, adoption, technology, and content.
Open module → 11High-Value KM Practices
After-action reviews, peer assists, mentoring, communities, and other practical methods.
Open module → 12Governance and Operating Model
Ownership, authoritative knowledge, lifecycle, accountability, and federated execution.
Open module → 13KM for AI
Operationalize trust, governance, curation, and evaluation for intelligent systems.
Open module → 14Short Case Vignettes
See how foundational KM practices are applied across different contexts.
Open module → 15Frequently Asked Questions
Practical answers to common questions from practitioners starting with KM.
Open module →Final Assessment
Validate your understanding of the foundations.
After completing the learning modules and reviewing the study guide, take the Foundations assessment. The exam evaluates understanding of the concepts and practices presented across the course.