An Interactive 5-Day Training Course
AI Skills Intelligence & Workforce Reskilling
Mapping AI Skills Gaps and Planning Workforce Reskilling, in Association with Excentra AI Academy
An Interactive 5-Day Training Course
This AI Skills Intelligence & Workforce Reskilling training course helps organisations decide which capabilities to develop as artificial intelligence changes the way people work. Participants learn to identify the tasks affected by AI, define the skills employees will need and assess where current capabilities fall short. This gives workforce leaders a stronger basis for prioritising learning investment and preparing employees for changes in their roles.
The training course equips participants to turn skills evidence into reskilling decisions that reflect business priorities and the needs of different job families. They learn to set role-specific proficiency expectations, consider where existing skills can transfer to new responsibilities and define how employees will demonstrate competence at work. The course also addresses how to use workforce data responsibly and retain clear human accountability as roles evolve. Oxford Management Centre and Excentra AI Academy jointly offer this training course, which helps organisations identify the skills employees need as AI changes their roles.
This AI Skills Intelligence & Workforce Reskilling training course will highlight
This AI Skills Intelligence & Workforce Reskilling training course develops the following capabilities.
The training course uses guided discussions and examples drawn from representative workforce scenarios. Sample job profiles, task inventories and skills matrices show how to assess AI exposure and identify capability gaps. Participants compare reskilling options and examine the evidence managers can use to judge whether employees are applying new skills at work.
The AI Skills Intelligence & Workforce Reskilling training course guides investment in workforce skills.
The AI Skills Intelligence & Workforce Reskilling training course builds confidence in assessing skills gaps.
This AI Skills Intelligence & Workforce Reskilling training course is for workforce development professionals including:
The course is designed for HR business partners, workforce planning managers, learning and development managers, talent leaders and organisational design managers. It is particularly relevant if you are responsible for deciding which teams need new skills as AI changes their work.
You will learn to break a role into its day-to-day tasks and assess where AI could assist or automate a step. For example, AI might draft a routine report while an employee verifies the findings and approves the final version. Mapping those responsibilities helps you identify which skills the role will require.
The course examines how to compare work samples, assessment results and employee self-ratings against the proficiency a role requires. For example, reviewing how an employee checks an AI-generated report can reveal whether they can spot errors and verify claims before sharing it.
You will learn to weigh how soon tasks are likely to change, how important those tasks are to the business and how much development employees will need. This helps you direct learning investment towards gaps that could delay a planned change or affect the quality of work.
Start with what the employee needs to do. Someone reviewing AI-generated content may need to verify its accuracy and handle sensitive information appropriately. Someone responsible for integrating AI into a workflow may need to test outputs, define review points and monitor performance. The course helps you translate those responsibilities into learning objectives for each role.
Yes. You will learn to compare the skills employees already demonstrate with those needed in another role. For example, an employee who regularly investigates reporting discrepancies may already have some of the skills needed to review AI-generated analysis. The comparison helps identify what further development would support the transition.
The course shows you how to define what employees should be able to do after training and gather evidence from real work. For a team using AI to draft reports, measures could include the accuracy of final reports, the time spent correcting errors and whether employees consistently carry out the required checks.
