AI-Assisted Product Prototyping and Testing Course

Practical training for turning user evidence into AI-assisted wireframes, interactive prototypes, usability findings, and validated handoffs.
AI-Assisted Product Prototyping and Testing Course

At a glance

Duration
5 days
Format
Classroom
Cities
Chicago, Istanbul, Toronto, Barcelona, Lisbon, Amsterdam and more
Next session
11 – 15 October 2026, Chicago
Average fee
5,800 €

Overview

The AI-Assisted Product Prototyping and Testing Course is a five-day intermediate course for product, innovation, design, and business teams who leave with a Tested AI-Assisted Prototype. It connects problem framing, user evidence, concept generation, prompt-driven wireframes, content and interaction flows, fidelity choices, data boundaries, usability testing, iteration, responsible design, and handoff evidence. Participants turn uncertain ideas into testable artifacts. Agile Leaders Training Center delivers this course on AI-assisted product prototyping and testing.

Who Should Attend

  • Product teams responsible for discovery and solution validation
  • Service and experience designers mapping interactions and journeys
  • Innovation teams testing concepts before investment
  • Business analysts translating needs into testable requirements
  • Transformation teams coordinating digital solution experiments

The course assumes participants contribute to product or service decisions and leaves out production software engineering, model training, and visual-design fundamentals.

Departments and Industries

The course supports early solution testing across product and service environments.

  • Digital product teams in financial services
  • Service design and patient experience in healthcare
  • Customer journey teams in retail
  • Operations innovation in manufacturing
  • Digital service teams in public services

Learning Objectives

By the end of this course, participants will be able to:

  • Diagnose problems using user evidence
  • Build concepts and prompt-driven wireframes
  • Design content and interaction flows
  • Compare prototype fidelity and data choices
  • Evaluate prototypes through usability tests
  • Create a Tested AI-Assisted Prototype

Course Agenda

Day 1: Problem Framing and Concept Evidence

  • Problem Statement and Assumption Map
  • User Evidence and Need-State Matrix
  • Outcome and Success-Criteria Definition
  • Concept Divergence and Selection Grid
  • Prototype Question and Learning Plan

Day 2: Wireframes and Interaction Flows

  • Prompt-Driven Wireframe Specification
  • Information Architecture and Screen Inventory
  • User Flow and Decision-Path Diagram
  • Interface Content and Microcopy Matrix
  • Low-Fidelity Click-Path Prototype

Day 3: Fidelity, Data, and Responsible Design

  • Prototype Fidelity Decision Framework
  • Design-System Component and Constraint Map
  • Synthetic Data Use and Boundary Checklist
  • AI Behavior and Failure-State Simulation
  • Privacy, Bias, and User-Control Review

Day 4: Usability Testing and Iteration

  • Usability Test Objective and Task Script
  • Participant Criteria and Evidence Plan
  • Observation, Error, and Friction Log
  • Finding Severity and Prioritization Matrix
  • Prototype Revision and Decision Record

Day 5: Prototype Validation Practice

  • Suggested Exercise: Problem and Evidence Challenge
  • Suggested Exercise: Wireframe and Interaction Critique
  • Suggested Exercise: Data Boundary and Failure-State Review
  • Suggested Exercise: Usability Finding and Iteration Decision
  • Capstone Exercise: Tested AI-Assisted Prototype

Practical Exercises

The course includes suggested activities for converting uncertain ideas into testable evidence.

  • Suggested activity: frame a retail service problem and select a prototype question.
  • Suggested activity: build a healthcare journey wireframe and interaction flow.
  • Suggested activity: run a usability test and prioritize observed friction.
  • Suggested activity: present a Tested AI-Assisted Prototype and handoff evidence.

FAQs

Who suits the AI-Assisted Product Prototyping and Testing Course?

Product managers, designers, innovation teams, analysts, entrepreneurs, and transformation practitioners suit the course; it assumes experience contributing to product or service decisions.

How does AI-assisted prototyping differ from a general product design course?

AI-assisted prototyping concentrates on rapid testable artifacts, prompt-driven generation, behavior simulation, evidence gathering, and iteration rather than broad visual-design or product-management foundations.

What can AI contribute to product prototyping?

AI can support concept variations, wireframes, content, interaction logic, simulated states, synthetic examples, critique, and iteration while participants retain design judgment and review.

How should an AI-assisted prototype be tested?

An AI-assisted prototype should be tested through realistic tasks, defined participant criteria, structured observation, error and friction evidence, decision thresholds, and documented revisions.

What belongs in a prototype handoff?

A prototype handoff includes the problem, evidence, assumptions, flows, screens, content, interaction rules, data boundaries, failure states, test findings, open decisions, and next validation steps.

Conclusion

Participants leave with a Tested AI-Assisted Prototype supported by user evidence, interaction logic, data boundaries, usability findings, and revision decisions. The work product reduces ambiguity before implementation and makes learning visible. It gives product and innovation teams a reusable path from problem framing to validated handoff.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 41-60 of 76 events
Image Location Dates Duration Mode Price Actions
Dubai Dubai Week 16, 2027
19 – 23 April 2027
5 Days Onsite €4,500
Singapore Singapore Week 16, 2027
19 – 23 April 2027
5 Days Onsite €5,700
Marbella Marbella Week 16, 2027
25 – 29 April 2027
5 Days Onsite €5,700
Amsterdam Amsterdam Week 17, 2027
26 – 30 April 2027
5 Days Onsite €5,700
Manama Manama Week 17, 2027
2 – 6 May 2027
5 Days Onsite €4,700
Amman Amman Week 18, 2027
9 – 13 May 2027
5 Days Onsite €4,100
Tokyo Tokyo Week 19, 2027
10 – 14 May 2027
5 Days Onsite €10,000
Montreux Montreux Week 20, 2027
17 – 21 May 2027
5 Days Onsite €7,500
Trabzon Trabzon Week 21, 2027
30 May – 3 June 2027
5 Days Onsite €6,800
Tbilisi Tbilisi Week 22, 2027
31 May – 4 June 2027
5 Days Onsite €5,000
Riyadh Riyadh Week 22, 2027
6 – 10 June 2027
5 Days Onsite €5,700
London London Week 23, 2027
7 – 11 June 2027
5 Days Onsite €5,700
Dubai Dubai Week 24, 2027
14 – 18 June 2027
5 Days Onsite €4,500
Athens Athens Week 24, 2027
14 – 18 June 2027
5 Days Onsite €6,700
Zoom Zoom Week 25, 2027
21 – 25 June 2027
5 Days Online €1,500
Abu Dhabi Abu Dhabi Week 25, 2027
21 – 25 June 2027
5 Days Onsite €4,700
Bangkok Bangkok Week 25, 2027
27 June – 1 July 2027
5 Days Onsite €6,000
Rome Rome Week 26, 2027
28 June – 2 July 2027
5 Days Onsite €5,700
Kuala Lumpur Kuala Lumpur Week 27, 2027
5 – 9 July 2027
5 Days Onsite €5,200
New York New York Week 27, 2027
5 – 9 July 2027
5 Days Onsite €12,000

Frequently asked questions

What does this course cover?

OverviewThe AI-Assisted Product Prototyping and Testing Course is a five-day intermediate course for product, innovation, design, and business teams who leave with a Tested AI-Assisted Prototype. It connects problem framing, user evidence, concept generation, prompt-driven wireframes, content and interaction flows, fidelity choices, data boundaries, usabi…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

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