Training programme overview
Learn to design AI products that are useful and adopted by combining product discovery, human-centered UX, human-in-the-loop feedback, trust-building, and launch metrics. Practical focus on UX, feedback loops, and adoption indicators.
Course starts with AI product discovery: framing problems, opportunity hypotheses, and data/model assumptions to inform scope.
Human-centered UX modules on agent-user interactions: design flows, human controls, and fail-safe scenarios.
Feedback and evaluation setup: user tests, performance metrics, and perceived quality measurements.
Go-to-market and adoption tactics: engagement metrics, trust and governance measures, and post-launch monitoring.
Training · Intermediate
Courses included in this training programme
AI Product Discovery
Explore and prioritize AI opportunities using product-focused analysis: identify high-value use cases, frame problems, and conduct pragmatic assessments of feasibility, data readiness and risks. Emphasis on ROI hypotheses and concrete success metrics.
4 lessons · 20 activities · 0 exercises · 3 videos
Human-Centered AI UX
Design human-centered AI interfaces covering trust, control, conversational UX, copilots and workflow integration. Addresses explainability, citations and confidence signals plus fallback, correction and handoff strategies.
4 lessons · 24 activities · 12 exercises · 3 videos
Feedback and Evaluation
Implement feedback and evaluation systems for AI products: design user feedback loops, human-in-the-loop review workflows, experiment design and product analytics, and define quality thresholds for launch.
4 lessons · 24 activities · 12 exercises · 3 videos
Go-To-Market and Adoption
Prepare AI product adoption: change management and enablement, training for users and support teams, risk communication, and a launch checklist with post-launch review.
4 lessons · 24 activities · 12 exercises · 3 videos
Access the platform
Open the catalogue to review course details, access conditions, and your personal progress. Sign in.