Course Information
Course Overview
Revolutionize Knowledge Management with GenAI tools like ChatGPT
Course Description
Knowledge is the most valuable asset in any organization — but too often, it’s scattered across documents, hidden in emails, or stuck in people’s heads. This course, Knowledge Management with Generative AI, shows you how to harness the power of AI tools like ChatGPT, Microsoft Copilot, and ServiceNow NowAssist to transform the way knowledge is captured, shared, and used.
You’ll start by building a strong foundation: understanding what knowledge management (KM) is, why it matters, and how Generative AI is reshaping the landscape. From there, we’ll dive into practical strategies and hands-on demos that bring KM concepts to life. You’ll see how AI can auto-tag and summarize knowledge articles, capture tacit insights through conversational interviews, and combine multiple sources into structured playbooks.
Beyond the theory, this course is packed with practical tools and resources. You’ll get downloadable templates, assignments, quizzes, and reflection exercises that help you immediately apply what you’ve learned in your own workplace. You’ll also learn how to measure the ROI of AI-enhanced KM, build governance frameworks, and prepare for the future with emerging technologies like VR, IoT, and autonomous agents.
Whether you’re a knowledge manager, IT leader, or business professional, this course will equip you with the skills, tools, and confidence to lead the AI-powered knowledge revolution.
Enroll today and start turning scattered information into a strategic advantage.
Course Content
- 10 section(s)
- 39 lecture(s)
- Section 1 Foundations of Knowledge Management in the GenAI Era
- Section 2 Knowledge Assets in a GenAI-Enabled Enterprise
- Section 3 Models and Methods for Knowledge Creation
- Section 4 Human Intelligence + AI in Decision-Making
- Section 5 People and Culture in Knowledge Management
- Section 6 Organizational Learning in the Age of AI
- Section 7 Consumers and Knowledge Sharing
- Section 8 Processes & Technology for AI-Enhanced KM
- Section 9 Roles, Teams & AI-Augmented Knowledge Workers
- Section 10 Compare classic measures with new AI-specific indicators.
What You’ll Learn
- Explain KM’s purpose and show how Generative AI enhances knowledge capture, sharing, and reuse.
- Identify explicit, tacit, and machine knowledge and use AI to tag, structure, and organize them.
- Apply SECI and ALOE models with AI to improve knowledge creation and smarter decision-making.
- Automate KM with AI: feedback loops, governance, dashboards, and metrics linked to outcomes.
- Build an AI-powered KM roadmap, measure ROI, and prepare for VR, IoT, and future tech.
Skills covered in this course
Reviews
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JJason Huat Lee Tan
Good practical examples
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RRobert Thomas
Very informative and easy to follow.
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DDiya Kumar
I really enjoyed this course.
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LLoretta Gaul
Appreicate the use of repetition to reinforce the concepts. Plenty of time and references on how to get started with creating AI knowledge. Focus on tacit knowledge and how to capture it as well.