Reimagining Skills in the Age of AI
28mBeginner2024-10-07
Authors

Aneesh Raman
Course details
In this course, LinkedIn VP Aneesh Raman discusses the connection between AI and skills, reinforcing the importance of skills-first thinking, and how using AI can help with identifying skills gaps, develop an upskilling and reskilling plan, and help create measurable results. Aneesh explores what organizations can do to get started in using AI for skill development, what's now possible with AI in L&D that wasn't previously available, and the dangers of not making the shift towards skills-first thinking.
Learning objectives
Describe how AI can help identify skills gap needs.
Describe what the shift to skills looks like inside an organization.
Explain the danger of not making a shift towards skills.
List what organizations can measure by using AI in skills evaluation and development.
Begin developing a plan for upskilling and reskilling using AI.
Learning objectives
Describe how AI can help identify skills gap needs.
Describe what the shift to skills looks like inside an organization.
Explain the danger of not making a shift towards skills.
List what organizations can measure by using AI in skills evaluation and development.
Begin developing a plan for upskilling and reskilling using AI.
Skills covered
Thought LeaderArtificial Intelligence FoundationsArtificial Intelligence (AI)
Concepts
0. Introduction
- 01 - Reimagining skills in the age of AI
1. Planning a Skills-First Future
- 02 - Shifting to skills-forward thinking
- 03 - A few terms used in the shift to skills
- 04 - Organizational change and the skills shift
- 05 - Reskilling and upskillling
- 06 - Risks of not making the skills shift
- 07 - AI-enabled planning for skills
- 08 - Steps organizations can realistically take
- 09 - Skills and transferability
- 10 - What are the measurable results of the skills shift
- 11 - What organizations can do today
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