What you will be able to do
Identify the right AI opportunities in your business before committing time or budget
Structure any AI initiative using the nine-block AI Use Case Canvas
Assess what data you have, what is missing, and what quality it needs to be
Define the decisions your AI model will support and how they connect to business outcomes
Set meaningful KPIs that measure the real impact of an AI project on your operations
Map the risks and unintended consequences of an AI initiative before they become problems
Estimate the business opportunity size to justify and prioritise AI projects to stakeholders
Apply the canvas across industries including healthcare, retail, manufacturing, and marketing using ten worked examples
AI Tutor always available
Questions answered instantly, based on the course content. Ask for examples, ask to be tested, progress at your own pace.
Verifiable certificate
Upon completion, you receive a certificate with a public verification page, ready to add to your LinkedIn profile.
Why this course
A canvas you can use on your next project immediately
Every module delivers a downloadable template tied to a specific block of the AI Use Case Canvas. You leave with nine tools ready to fill in for your own use case, not just slides to review.
Real consulting cases, not hypothetical examples
Each canvas block includes a war story drawn from actual NILG.AI consulting work, showing where the methodology was applied, what was discovered, and what changed as a result.
A shared language for cross-functional teams
The canvas gives business, data, and technical stakeholders a common structure to discuss requirements and risks without needing everyone to speak the same technical dialect.
Ten industry walkthroughs to stress-test your thinking
Worked examples across pizza delivery logistics, stroke detection, fraud detection, flight pricing, manufacturing defect detection, and five more sectors show how the same nine blocks apply in different contexts.
A method for catching project failures early
By working through consequences, risks, and data availability before any model is built, you surface the questions that typically derail AI projects six months in, at the stage where fixing them is still cheap.
Course content
13 modules · 107 lessonsYour instructor
Kelwin Fernandes
CEO, NILG.AI
Who it's for
Business managers and team leads evaluating whether AI makes sense for a specific process or decision
Consultants and analysts who need a structured, repeatable method to scope AI projects with clients
Product owners and project managers who will coordinate between business stakeholders and data teams
Entrepreneurs and founders assessing AI as part of a product or operational strategy
Anyone who has sat through AI pitches and left without knowing how to move from idea to concrete project plan
Frequently asked questions
Data Ignite: Design Thinking for AI
497 € · lifetime access
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