Course Overview

This is the third course in the LCPS "AI at Work" curriculum. The first course (Mastering Prompt Engineering) taught you how to talk to an AI well. The second (Building Custom GPTs and AI Agents) taught you how to package that skill into reusable assistants. This course is for the person one level up: the manager, team lead, head of function, or owner of a small or medium business who has to turn AI from something a few people use privately into something the whole team uses well. It is not a technical course, and it is not a strategy course about AI in the abstract. It is a practical course about the hundred small leadership decisions that determine whether AI adoption in a team succeeds or quietly fizzles out: where to start, who goes first, how to run a pilot that produces a real decision, how to handle the colleague who refuses and the colleague who goes too fast, how to measure honestly, and how to keep the change alive once the novelty wears off.

Employees need to know what will change when AI enters their work and how they will be supported. Leading AI Adoption in Your Team addresses the leadership effort behind that transition. It puts readiness and communication at the centre of an adoption plan. Participants consider where AI could contribute to team objectives and how to judge whether it has done so. The course links the introduction of tools with the development of the people expected to use them.

Why this Training Matters for your Organisation

Enthusiasm for a new tool does not tell a manager whether the team is ready to use it. Skills and expectations need attention if an initiative is to become part of working practice. For employers, the opportunity is to make adoption purposeful and measurable. Leaders examine how to select worthwhile applications and support change, then use performance indicators to assess what the initiative delivers.

Who Should Attend

Designed around the responsibilities of those leading a change in how their team works:

Line managers and heads of department introducing AI tools.
Project leads and colleagues coordinating digital change.
Learning specialists and managers supporting employee development.

Learning Outcomes

Leadership is considered across the adoption journey, from the first assessment of readiness to a review of results:

Assess team readiness and identify useful applications. Connect the proposed adoption strategy to business objectives.
Communicate expectations and manage the transition. Help colleagues develop the skills needed for new ways of working.
Consider responsible use and organisational governance. Address data privacy and security within implementation planning.
Select performance indicators and evaluate results. Use what is learned to guide further improvement.

Assessment

The platform confirms the outcome as soon as it has checked the learner's answers. All 20 multiple-choice responses must be correct (100%). Anyone who falls short can revisit the assessment, with unlimited attempts available without charge.

Additional Information

Team and Company Bookings

Consider enrolling the managers who will carry the change through different departments. Their discussions can expose differences in readiness and help establish realistic expectations for the work ahead. Include those priorities when requesting a team booking.

Enrol an Individual / Book for your Team

Prepare a manager to guide their team through the practical changes AI brings.
Coordinate learning for the leaders responsible for turning an adoption plan into everyday practice.

Leading AI Adoption in Your Team