Frame the right problem
Separate valuable user needs from AI novelty and define the decision the product must improve.
AILI Certification 05 / 08
Build the product judgment to balance user value, technical feasibility, business outcomes, data readiness, and risk at every stage of an AI product.
What you will be ready to do
Lead AI products from opportunity discovery through responsible launch.
This program combines live learning with applied practice so you leave with a repeatable approach and evidence of what you can do.
Separate valuable user needs from AI novelty and define the decision the product must improve.
Evaluate value, feasibility, data readiness, differentiation, and risk before committing resources.
Create product metrics, evaluations, release criteria, and guardrails for AI behavior.
Coordinate discovery, launch, monitoring, feedback, and iteration across disciplines.
Inside the intensive
Research users, map jobs and decisions, and test whether AI is the right product mechanism.
Build a roadmap grounded in business value, technical realities, evidence, and responsible use.
Define quality, trust, failure handling, human review, and the user experience around probabilistic output.
Plan rollout, monitoring, feedback loops, adoption, and ongoing product improvement.
The two-week capstone
Create an AI product brief and launch plan for a real opportunity, including user evidence, prioritization, evaluation, guardrails, roadmap, and success measures.
Who this is for
Tell us what you want to be able to do, and we’ll help you choose the right certification and next cohort.