English | 繁體中文

Aims & Outcomes | Target Audience | Content and AI Tools | Date, Fee & Registration | AI Course Series | Track Record

Official Course Title: DesignThinkers Academy 1-Day AI Design Thinking Fundamentals Certificate Course (AI Tools Included)

Part 1: Course Aims and Outcomes

(1.1) Course Aims

  • To equip individual innovators with the mindset, skill set, and 8 AI Essentials tool-set of AI Design Thinking to strengthen operational innovation effectiveness.
    1. Stakeholder Management (with AGI Analysis )
    2. Design Research (with AGI Deep Research)
    3. Basic Sense Making (with AGI Analysis)
    4. Single Persona Map (with AGI Analysis)
    5. Single Problem Statement Design (with AGI Analysis)
    6. Cross-dimensional Ideation(with AGI Generation)
    7. Idea Prioritization (with AGI Multi-Dimensional Analysis)
    8. Prototyping: Service Scenario (with AGI Visualizer)
  • To equip participants with practical skills and tools to apply AI‑integrated Design Thinking methods in driving user‑centric innovation and data‑driven decision‑making.

(1.2) Learning Outcomes

  • Apply AI‑supported empathy and problem‑definition techniques to uncover genuine user needs.
  • Use AGI‑powered research and ideation tools to generate, evaluate, and prioritize creative concepts.
  • Translate insights into tangible prototypes with the support of AI visualization technologies.
  • Collaborate more effectively in multidisciplinary teams through structured co‑creation.
  • Contribute to organizational transformation by embedding an experimental and data‑informed innovation mindset.

(1.3) Why AI Design Thinking Matters

  1. Accelerate innovation cycles with AI-driven speed advantage — automating processes and transforming 26 weeks of work into just 1 week, achieving up to 95% improvement in efficiency and freeing more time for strategic decision-making.
  2. Enhance decision precision through data-driven insights — leveraging AI analytics to identify emotional needs across an entire market with up to 90% accuracy, enabling leaders to craft strategies that align closely with real user and market demands.
Remark: Click this diagram to watch a brief 1‑minute video introducing the capabilities and synergy of the six AI agents.

Part 2: Target Audience:
  • General staff supporting digital transformation or innovation programs.
  • Individual contributors aiming to strengthen problem‑solving and creative capabilities.
  • Members of innovation teams are responsible for executing improvement projects.
  • Employees seeking to turn ideas into actionable outcomes using AI‑enabled tools.

Part 3: Course Content and AI Tools

(3.1) Learning Mode

This interactive course equips participants with the mindset, skill sets, and AI toolsets necessary for AI Design Thinking Execution, enabling them to drive breakthrough business innovation. Grounded in a “learning‑by‑doing” approach, participants will engage in hands‑on, collaborative projects that tackle real business challenges and deliver measurable impact.

Each Design Thinking stage features AI‑enhanced demonstrations and exercises in virtual innovation spaces (Details), empowering participants to transform emerging opportunities into high‑value business solutions.

(3.2) Session Content

  • Pre-Course Preparation Session
    • Participants will learn the concepts, principles, and values of AI Design Thinking, gain familiarity with the Four-Step Double Diamond Execution Framework, and complete preliminary design research activities to support hands-on learning.
    • Note: Attendance at the Pre-Course Session (7:00–9:00 p.m., before the main course) is required to qualify for the Award Certificate.
  • Session 1: (Discover Stage)
    • Participants engage in Stakeholder Management and Design Research through AGI analysis to uncover stakeholder expectations and user needs. This stage enhances the ability to identify critical insights that drive human‑centered transformation.
  • Session 2: (Define Stage)
    • Learners perform Basic Sense Making and create Single Persona and User Journey Maps using AGI data analysis tools. The process helps convert data into clear, user‑driven problem definitions.
  • Session 3: (Develop Stage)
    • Participants conduct Co‑Creative Ideation and Idea Prioritization using AGI’s two‑dimensional analysis to refine innovative ideas. The stage promotes data‑supported creativity and collaborative solution development.
  • Session 4: (Deliver Satge)
    • Learners develop Service Scenario Prototypes and perform ACES Analysis using AGI visualization tools. This stage demonstrates how rapid prototyping validates ideas and supports decision‑making.

(3.3) AI Tools for Each Stage will be Practiced or Demonstrated during the courses

Part 4: Date, Fee and Registration:

(4.1) Tuition Fee: HK$4,250 (Early Bird, One Month Before Class Start) | HK$4,500 (Standard Price)

(4.2) Date & Time:

  • Feb Class: 7 February (Sat), 2026 [9 am to 6 pm | Lunch Break: 1 pm to 2 pm] (with 2 hour preparation meeting)
  • Apr Class: 11 April (Sat), 2026 [9 am to 6 pm | Lunch Break: 1 pm to 2 pm] (with 2 hour preparation meeting)
  • Jun Class: 13 June (Sat), 2026 [9 am to 6 pm | Lunch Break: 1 pm to 2 pm] (with 2 hour preparation meeting)

(4.3) Mode & Language: Face-to-face Model (Kwun Tong District) | Cantonese Presentation with English Materials

(4.4) Course Leaders and Facilitators: Our coaches are seasoned and certified Design Thinking facilitators. They will share their extensive experience and effective strategies for implementing Design Thinking in innovation projects and organizational transformations. This practical approach enables you to integrate Design Thinking immediately principles into your daily work environment.

(4.5) Certification and Recognition: Upon completing the course and required exercises, participants receive a Digital Certificate of Completion from the DesignThinkers Academy, verified through a secure blockchain-based certification system for authenticity and global recognition.

Part 5: About the AI Design Thinking Course Series

The AI Design Thinking (DT3.0) Course Series is a structured, multi-level action-based learning and execution (in the real business world) journey that guides participants from foundational awareness to strategic leadership, enabling them to master over 30 AI-driven tools and technologies to accelerate business innovation. The series comprises three developmental levels — Foundational Innovation (2 Courses), Tactical Innovation (3 Courses), and Strategic Innovation (2 Courses).

Part 6: Track Record

The previous 29 public classes of the DTA Design Thinking training courses are listed below:

2025 (26th to 29th Cohort): 20 Sep | 13 Jul | 17 May | 22 Feb

2024 (22nd to 25th Cohort): 30 Nov | 3 Oct | 19 Jul | 17 May

2023 (19th to 21st Cohort): 21 Oct | 22 Jul | 14 Apr

2022 (15th to 18th Cohort): 20 Oct | 7 Jul | 26 Apr | 17 Mar

2021 (10th to 14th Cohort): 2 Dec | 12 Oct | 19 Aug | 11 Mar | 16 Jan

2020 (5th to 9th Cohort): 19 Nov | 19 Aug | 3 Jul | 13 May | 16 Jan

2019 (1st to 4th Cohort): 2 Nov | 28 Sep | 26 Sep | 15 Aug

English | 繁體中文

RELATED ARTICLESMORE FROM AUTHOR