HKPC Academy

AI-Driven Business Breakthroughs with Design Thinking

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  • Certificate Available

Course Information

Schedules
  • 15 Jul 2026 (Wed) 9:30 AM - 5:00 PM
Registration period
22 May 2026 (Fri) - 14 Jul 2026 (Tue)
Price
HKD 3,000
(HK$3,000/ HK$2,700*
*Group discount for 2 participants or more)
Course Level
Study Mode
Duration
1 Day(s)
Language
Cantonese
Location
-
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.

Course Overview

Programme Highlights

  • Accelerate Innovation. Deliver Measurable Results.
  • A practical workshop on identifying pain points, integrating Generative AI into innovation frameworks, and rapidly prototyping AI solutions—turning potential into measurable outcomes.
  • After training, companies may opt for a free 30-min consultation with our trainer to discuss their specific AI opportunities

Course Objectives

  • Identify high-impact business pain points where Generative AI can integrate with Design Thinking to drive efficiency and innovation
  • Optimise Design Thinking processes using AI to reduce time-to-insight and enhance prototyping fidelity
  • Fine-tune user journeys with AI-derived insights to create personalised, adoption-boosting experiences
  • Apply the Design Thinking framework combined with AI-enhanced prototyping to define and develop practical AI solutions for business
  • Define the measurable business value of AI solutions using success metrics

What You’ll Learn

Course Outline
1. Identifying Opportunities: Introduction to AI Integration Strategies

  • AI concepts & skills recap
  • Design Thinking basics and benefits

2. The AI-Enhanced Design Process: Optimising Empathy & Define Stages

  • Group discussion on current workflows and pain points
  • Define problem statement with AI research

3. Fine-Tuning User Journey Experiences with AI Insights

  • Map and refine user journeys
  • Group ideation on personalisation
  • AI Tools for real-time insight generation from user data

4. Leading through building – Designing AI Solutions & Validation

  • Produce a prototype outcome, plan validation steps
  • Output: Stakeholder-ready mock-ups (visuals, presentation, or short video)
  • Activities: Teams create AI-generated images, presentation slides, or short co-created video to convey the concept and value proposition

5. Turning AI Solutions into Measurable Business Value

  • Group sharing session
  • Metrix for evaluating the solutions
  • Measurable indicators that show whether an AI solution is effective, delivers business value, and is safe/reliable

6. Practical Application & Wrap-Up: Mini-Project Synthesis


Skills covered in this course


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