AI Enablement: AI Skills L&D Teams Need to Accelerate Skill Development

Today’s L&D teams are expected to do more than create training. You’re expected to accelerate skill acquisition, improve retention, personalize learning at scale, and prove ROI — often with limited resources.

This session focuses on the practical AI skills L&D Managers and Enablement teams need to design adaptive, data-driven training programs that can improve retention by 25–30%, accelerate time-to-competency, and connect learning directly to performance outcomes.

You’ll learn how to apply high-impact AI skills, including:

AI literacy and practical prompting:
Use iterative prompting and tool customization to generate higher-quality learning materials faster.

Adaptive learning and personalization:
Build AI-powered learning paths that adjust in real time to close skill gaps and speed up skill acquisition.

Content curation and quality assurance:
Review and refine AI-generated training to ensure accuracy, instructional quality, and alignment with business needs.

Predictive skill gap analysis:
Use AI analytics to identify current and future capability gaps and proactively target training interventions.

Performance analytics and ROI measurement:
Connect learning data to KPIs like productivity, onboarding speed, and compliance performance.

Automation of training operations:
Reduce manual work across onboarding, assessments, reporting, and certification tracking.

AI ethics and governance:
Ensure responsible oversight, bias detection, and learner data protection.

• Tactical AI workflows you can apply immediately

• A framework for implementing high-impact AI use cases

• A shareable AI Skills certificate for LinkedIn