Egain Knowledge Academy | Knowledge Insights & Best Practice

Learn about knowledge design, best practices, and the basics of using generative AI for knowledge management

What you'll learn

Prioritize knowledge opportunities, integrate knowledge systems effectively, and build a strong foundation for future projects.

Enhance qualification skills, understand economic considerations, and promote effective collaboration among stakeholders.

Develop user-centric design expertise, avoid design pitfalls, master testing and measurement, and embrace continuous improvement.

Develop a holistic approach to change management, engage users, and ensure long-term success.

Develop a user-centric mindset, master transparent communication, and identify change champions.

Strengthen collaboration skills, understand business objectives, and mitigate risks.

Enhance collaboration skills, navigate varying objectives, and ensure project success.

Develop effective adoption strategies, understand project stages, and prioritize user engagement.

Requirements

No knowledge management experience necessary.

Description

The Knowledge Academy is the first-of-its-kind to create a global community of modern knowledge management practitioners. Our Knowledge Insights & Best Practices course is your key to mastering the art of Knowledge Management. Led by industry experts Ian Jones and Linda Yeardley, with over 50 years of combined experience, this course offers a series of lessons each addressing crucial aspects of Knowledge Management that are essential for success.After completing this course you'll be equipped with the most up to date approaches to creating, maintaining, and improving your knowledge content and repositories. Learn what opportunities there are to using knowledge, how to design it, how to engage with users and project teams, how to further improve upon it as your knowledge base grows, and more!Key topics of this course include:Knowledge OpportunitiesQualificationDesignStakeholder GroupsWorking with UsersWorking with the BusinessWorking with the Project TeamAdoptionGenerative AIThe approximate length of this course is 6 hours.The eGain Knowledge Academy is dedicated to helping KM practitioners, experts, and newcomers alike to learn and get certified on knowledge management best practices, share knowledge fundamentals, professional heuristics, and industry expert advice. Our goal is to foster a community that learns, dreams, and builds the next generation of knowledge management together.Sign up today! Scientia Potentia Est!

Overview

Section 1: Introduction

Lecture 1 Introduction

Section 2: Knowledge Opportunities

Lecture 2 Knowledge Opportunities

Lecture 3 Introduction to knowledge opportunities

Lecture 4 Finding the best opportunities & integration

Lecture 5 Different types of knowledge

Lecture 6 Adoption

Lecture 7 Conclusion

Section 3: Qualification

Lecture 8 Qualification

Lecture 9 Qualification through the lifecycle

Lecture 10 Concept and vision

Lecture 11 Technical fit and staff

Lecture 12 Experts, approval, and usage

Lecture 13 Maintenance & managing risk

Lecture 14 Conclusion

Section 4: Design

Lecture 15 Design

Lecture 16 Why is design important in knowledge management?

Lecture 17 Evolution and adoption

Lecture 18 Things to think about when designing UX/UI

Lecture 19 Best practices

Lecture 20 Conclusion

Section 5: Stakeholder Groups

Lecture 21 Stakeholder Groups

Lecture 22 Key stakeholder groups

Lecture 23 The project team

Lecture 24 Conclusion

Section 6: Working with Users

Lecture 25 Working with Users

Lecture 26 Understanding the user

Lecture 27 Engaging with the users

Lecture 28 Managing change

Lecture 29 Conclusion

Section 7: Working with the Business

Lecture 30 Working with the Business

Lecture 31 Who is the business?

Lecture 32 Sponsorship

Lecture 33 Support & pitfalls

Lecture 34 Conclusion

Section 8: Working with the Project Team

Lecture 35 Working with the Project Team

Lecture 36 Your relationship with the project team

Lecture 37 Skillsets and methadology

Lecture 38 Success criteria

Lecture 39 Conclusion

Section 9: Knowledge Adoption

Lecture 40 Knowledge Adoption

Lecture 41 Introduction to knowledge adoption

Lecture 42 Strategy

Lecture 43 Planning

Lecture 44 Communication

Lecture 45 Conclusion

Section 10: Generative AI

Lecture 46 Generative AI

Lecture 47 The best use cases for generative AI in customer service

Lecture 48 Current use cases for generative AI

Lecture 49 Generative AI for new projects

Lecture 50 Generative AI for developing projects

Lecture 51 Generative AI for established projects

Lecture 52 Summary & challenges

Lecture 53 Key takeaways & predictions

Lecture 54 Conclusion

Section 11: Conclusion

Lecture 55 More insight at eGain Knowledge Academy

This course is for all levels, from beginners to seasoned professionals who have an interest in knowledge management.