Detailed learning paths for practical capability.

Learning outcomes

• Facilitate structured ideation sessions with physical models.
• Convert abstract challenges into visible, discussable systems.
• Improve team alignment, participation, and decision quality.
• Prototype solution concepts and action steps from workshop outputs.

Prerequisites and deliverables

Prerequisites: No prior LEGO® Serious Play experience required. Participants should be ready for active discussion and hands-on exercises.

• Team challenge map
• Model-based insight board
• Prioritized solution backlog
• Facilitation checklist

Learning outcomes

• Map end-to-end customer journeys and moments of truth.
• Design experience cues that improve perception and usability.
• Translate brand promises into service behaviors and touchpoints.
• Build an implementation roadmap for memorable experiences.

Prerequisites and deliverables

Prerequisites: Basic familiarity with customers, products, services, or user journeys is helpful but not required.

• Customer journey map
• Experience principles canvas
• Touchpoint improvement backlog
• Measurement plan

Learning outcomes

• Identify AI opportunities across core business processes.
• Evaluate use cases by feasibility, value, data readiness, and risk.
• Design an AI adoption roadmap with governance checkpoints.
• Communicate AI strategy to stakeholders in business terms.

Prerequisites and deliverables

Prerequisites: No coding required. Participants should understand their organization’s processes, goals, or business challenges.

• AI opportunity map
• Use-case prioritization matrix
• Pilot charter
• Transformation roadmap

Learning outcomes

• Structure messages that are clear, credible, and memorable.
• Use story frameworks for sales and marketing scenarios.
• Align narrative with customer pain, value, and decision triggers.
• Test and improve messages using practical feedback loops.

Prerequisites and deliverables

Prerequisites: Participants should bring a product, service, campaign, or sales message to refine during the course.

• Narrative map
• Refined value proposition
• Pitch story draft
• Message testing checklist

Learning outcomes

• Run a design thinking cycle from research to prototype.
• Use game mechanics to increase motivation and participation.
• Design experiments that validate assumptions quickly.
• Create a gamified concept aligned with user needs and business goals.

Prerequisites and deliverables

Prerequisites: No prior design thinking or game design experience required. A real challenge or project is recommended.

• User need statement
• Gamification canvas
• Prototype concept
• Experiment plan

Learning outcomes

• Select agile practices that fit the team’s actual work context.
• Design Scrum, Kanban, or hybrid workflows with clear policies.
• Improve prioritization, planning, delivery visibility, and retrospectives.
• Diagnose common agile anti-patterns and scaling risks.

Prerequisites and deliverables

Prerequisites: Basic project or team experience is useful. Prior Scrum or Kanban knowledge is helpful but not required.

• Team workflow map
• Backlog and board design
• Retrospective toolkit
• Improvement roadmap

Learning outcomes

• Choose appropriate no-code/low-code tools for different solution types.
• Design data structures, forms, automations, and dashboards.
• Build a working prototype for a real business workflow.
• Apply governance principles for security, quality, and maintainability.

Prerequisites and deliverables

Prerequisites: No programming required. Participants should bring a workflow or business problem they want to improve.

• Workflow map
• Prototype specification
• Working MVP outline
• Governance checklist

Learning outcomes

• Write prompts that produce clearer, more consistent outputs.
• Build reusable prompt templates for common business tasks.
• Design AI workflows with review, validation, and escalation steps.
• Identify risks such as hallucinations, confidentiality, bias, and overreliance.

Prerequisites and deliverables

Prerequisites: No coding required. Participants should have basic computer literacy and bring recurring work tasks to improve.

• Prompt library
• Workflow blueprint
• Validation checklist
• Team usage guide

Learning outcomes

• Identify signals shaping future work and organizational capability.
• Map current skills against future role demands.
• Develop a personal or team learning roadmap.
• Design adaptable routines for continuous learning and change response.

Prerequisites and deliverables

Prerequisites: No technical background required. Participants should be willing to evaluate trends, assumptions, and skill gaps.

• Future-work signal map
• Skills gap matrix
• Scenario canvas
• Learning roadmap

Learning outcomes

• Understand practical AI, AR, and VR use cases across industries.
• Evaluate when immersive technology is useful and when it is unnecessary.
• Design an immersive experience concept with user flow and content model.
• Plan pilot requirements, risks, metrics, and stakeholder buy-in.

Prerequisites and deliverables

Prerequisites: No development experience required. Familiarity with a product, training challenge, or customer journey is useful.

• Immersive use-case canvas
• Storyboard
• Pilot requirements brief
• Success metrics plan