AI and data project examples
Pick a problem worth figuring out.
A project starts with a question and ends with work you can explain. These illustrative briefs show what you could investigate and build; they are not live employer assignments.
01
Investigate suspicious transactions
Which transactions need a closer look? Check data quality, describe unusual patterns, and explain the limits of your alerts. Output: an investigation report and a dashboard.
See the analysis and outputs02
Explain a change in sales
Where did sales change, and what might explain it? Compare products and customer segments, check assumptions, and propose a test. Output: a sales dashboard and a recommendation.
See the analysis and outputs03
Test an AI agent
Can an agent handle a repetitive task reliably? Define the task, test normal and difficult inputs, and record when a person should intervene. Output: a prototype and a test log.
Explore learning projectsHow do I start a project?
- Create a learner account and request course access.
- Check the brief, prerequisites, tools, and available guidance.
- Build your deliverable and document your checks and decisions.
- Arrange feedback if you need it, then choose work to add to your portfolio.
The learner challenge workspace requires sign-in. Project availability and access vary. These examples do not promise employer review, certification, or a job.
Open learner challenges (sign-in required)Have a business problem for candidates or your team?
Define the question, shareable data, expected output, and assessment criteria. We can discuss how to scope the challenge.