Five-day professional program. Approximately 25-30 training hours. Final agenda, language and delivery arrangements are confirmed in the proposal.

Course Overview

Use AI to support learning design with subject review and learner testing.

This proposed five-day program develops a structured approach through case analysis, facilitated discussion and practical working documents. Participants adapt the learning to their organizational context and produce a final reviewed ai-supported learning module.

Learning Outcomes

Assess learning objectives and ai support opportunities.

Evaluate content outlines, examples and activity drafts.

Apply a structured approach to assessment questions and feedback design.

Develop recommendations for accuracy, accessibility and subject review.

Prepare and present a reviewed ai-supported learning module.

Who Should Attend

Business leaders, functional managers, transformation teams and professionals evaluating AI applications.

Relevant professional experience is recommended. Participant responsibilities and prerequisite knowledge are reviewed during scoping.

Training Methodology

Facilitated discussion, worked examples, anonymized case analysis, practical workshops, peer feedback and an applied final assignment.

Learning assessment may include a baseline discussion, review of working documents and a final presentation. Completion requirements are confirmed in the proposal.

Course Tools and Templates

Learning objectives and AI support opportunities working brief – proposed exercise document.

Content outlines, examples and activity drafts working brief – proposed exercise document.

Assessment questions and feedback design working brief – proposed exercise document.

Accuracy, accessibility and subject review working brief – proposed exercise document.

Reviewed AI-supported learning module – proposed exercise document.

Delivery Requirements

Classroom, live online and in-house formats can be arranged by agreement. Venue, platform, language, timetable, trainer and materials are confirmed in writing.

A laptop may be needed for planning and analytical exercises. Required software, access and prerequisite skills are agreed before delivery.

Course Customization

The proposed five-day agenda can be adapted to the participant group, sector and organizational objectives. Dates, fees, delivery suitability and final activities are confirmed in the written proposal.

Course Outline

Proposed sequence, subject to the agreed training proposal.

Day 1 – Learning objectives and AI support opportunities

Define the context, assess current practices and identify the key decisions relating to learning objectives and ai support opportunities.

Practical output: Learning objectives and AI support opportunities working brief

Day 2 – Content outlines, examples and activity drafts

Interpret sample information, compare suitable approaches and document assumptions for content outlines, examples and activity drafts.

Practical output: Content outlines, examples and activity drafts working brief

Day 3 – Assessment questions and feedback design

Apply structured tools to an anonymized case and develop recommendations for assessment questions and feedback design.

Practical output: Assessment questions and feedback design working brief

Day 4 – Accuracy, accessibility and subject review

Review responsibilities, risks and follow-up measures through a practical exercise on accuracy, accessibility and subject review.

Practical output: Accuracy, accessibility and subject review working brief

Day 5 – AI-supported learning module workshop

Integrate the course learning into a practical assignment on ai-supported learning module workshop; present recommendations and an implementation roadmap.

Practical output: Reviewed AI-supported learning module