Course Snapshot
- Duration
- Workshop format
- Level
- Intermediate level (assumes basic AI familiarity)
- Format
- Interactive workshop with group exercises
- Delivery
- Flexible delivery options with facilitation and materials
Intermediate level (assumes basic AI familiarity) Interactive workshop with group exercises Flexible delivery options with facilitation and materials
Designing AI
From rough ideas to viable projects.
Request Tailored DeliveryAbout the Course
Designing AI
Designing AI introduces the AI Project Canvas, a practical tool for mapping critical dimensions of an AI initiative in one coherent view.
The course helps teams transform vague AI ambitions into structured assessments covering problem definition, user needs, data availability, model suitability, ethical guardrails, and measurable value.
It is designed for professionals who evaluate, commission, or approve AI initiatives and need practical tools for confident strategic decisions.
Who is this course for?
Designed for professionals leading innovation, transformation, and AI initiative assessment.
Product Owners & Innovation Teams
Convert product ideas into structured AI proposals with clear feasibility markers.
Digital, IT & Transformation Leads
Assess integration requirements and technical viability before committing resources.
Public Sector Evaluators
Apply rigorous assessment frameworks for value-for-money and ethical compliance decisions.
Procurement Stakeholders
Evaluate supplier proposals with confidence and the right viability questions.
Learning outcomes
Gain a practical toolkit for assessing AI initiatives at every critical stage.
Master the AI Project Canvas
Complete structured assessments for problem definition, user needs, data requirements, model options, ethics, and value metrics.
Judge viability early and cheaply
Identify red flags before significant investment by testing data availability and feasibility assumptions.
Assess data and model fit
Determine when existing data and off-the-shelf models are sufficient and when custom development is justified.
Design effective guardrails
Set fairness thresholds, risk boundaries, privacy constraints, and human oversight for critical decisions.
Move from sketch to pilot
Apply handover checklists and stop-go gates, then prepare initiatives for pilot or procurement.
Curriculum modules
Module 1
Problem framing with the AI Project Canvas
Translate early ideas into structured opportunity and feasibility definitions.
Module 2
Feasibility and value assessment
Evaluate cost, time-to-value, strategic relevance, and maintainability together.
Module 3
Data and model strategy decisions
Choose between buy, adapt, and build paths based on practical evidence.
Module 4
Ethics, privacy, and governance guardrails
Set practical controls that align with risk tolerance and deployment context.
Module 5
Pilot readiness and procurement handover
Move validated ideas into execution with clear next steps and decision gates.
Prerequisites
Basic AI familiarity is recommended.
FAQs
Is this course technical?
It is practical and design-focused. It does not require deep implementation expertise, but basic AI familiarity is recommended.
What is the main output?
Participants complete an AI Project Canvas with a clear buy/adapt/build recommendation and actionable next steps.
Who should attend together?
Cross-functional groups perform best, especially teams combining product, technical, procurement, and governance perspectives.
Ready to Make Smarter AI Decisions?
Request detailed information about course structure, scheduling, and pricing for your organization.