AI courses · AIKm + PMI Master Trainer · Hong Kong
From first prompt to enterprise governance
A five-course pathway in AI, vibe coding and AI infrastructure, jointly delivered by AIKm and PMI Master Trainer in Hong Kong. AIKm is one of the pioneering institutes in enterprise knowledge management research in the city, and our curriculum is shaped by a farsighted team attentive to the impact of deep learning and AI on society. Start as a complete beginner, or join at the level that matches your experience, and progress to leading AI projects with confidence. Every module is three hours, one module per day, taught in English or Cantonese at Hong Kong Science Park, Pak Shek Kok, N.T. (in-person), or else and online.
The pathway at a glance
- Providers
- AIKm (AI and Machine Learning Institute for Enterprise Knowledge Management) with PMI Master Trainer
- Location
- Hong Kong Science Park, Pak Shek Kok, N.T. (in-person), or else and online
- Courses
- 1. Basic AI & Vibe Coding · 2. Intermediate Vibe Coding · 3. Advanced Vibe & Spec-Driven AI Coding · 4. AI Project Management & Governance · 5. Setting Up Your Organisation's AI Infrastructure for Competitiveness
- Format
- 3-hour modules, one per day · 15 hours (Courses 1, 4 & 5) or 21 hours (Courses 2 & 3)
- Languages
- English or Cantonese (廣東話)
- Who it's for
- Complete beginners through to managers and executives leading AI initiatives
- Enrolment
- Individual seats and corporate team packages · single course or full five-course pathway
- Certificate
- Awarded on completing all modules of a course
- Enquiries
- director@aikm.ai · +852 2839 8100
Course comparison
Compare the five courses side by side
| Course | Level | Duration | Prerequisites | Language | Certificate |
|---|---|---|---|---|---|
| Basic AI & Vibe Coding | Beginner | 5 modules | None (basic computer use) | English or Cantonese | On completion |
| Intermediate Vibe Coding | Intermediate | 7 modules | Course 1 or basic prompting experience | English or Cantonese | On completion |
| Advanced Vibe & Specification-Driven AI Coding | Advanced | 7 modules | Course 2 or experience coding with AI | English or Cantonese | On completion |
| AI Project Management & Governance | Leadership | 5 modules | None (for managers and team leads) | English or Cantonese | On completion |
| Set up your organisation's AI infrastructure for competitiveness | Executive | 5 modules | None (recommended: Course 4 or equivalent leadership experience) | English or Cantonese | On completion |
Why AI skills, why now
Key foundations for being an AI-Native organisation
AI is reshaping every industry in Hong Kong, from finance and logistics to marketing and public services. Vibe coding lets non-programmers build real software by describing what they want in plain language, and employers increasingly expect AI literacy: prompting, tool selection, and responsible use. This pathway takes learners from complete beginner to leading AI projects with confidence.
Basic AI & Vibe Coding
Structure: 5 modules · 3 hours each (15 hours) · one module per day
Format: Hong Kong Science Park (in-person), or else and online, hands-on labs
For: Professionals, students and career switchers new to AI
Prerequisites: None (basic computer use)
Outcome: Learners leave able to prompt AI confidently, build a first working mini-app by describing it in plain language, and apply AI responsibly in their own role.
You leave with: A published mini-app and a personal prompt toolkit.
What you cover:
- How modern AI works: LLMs, capabilities and limits, in plain language
- Prompt engineering fundamentals for text, images and code
- Vibe coding basics: build a working mini-app just by describing it
- Hands-on with popular tools: Claude, ChatGPT and AI coding assistants
- Responsible AI use: privacy, accuracy and everyday best practice
Module plan:
- M1 · AI foundations & the Hong Kong landscape
- M2 · Prompt engineering in practice
- M3 · Responsible AI & your vibe-coding toolkit
- M4 · Guided build & your first mini-app
- M5 · Publish, prompt toolkit & capstone
Intermediate Vibe Coding
Structure: 7 modules · 3 hours each (21 hours) · one module per day
Format: Hong Kong Science Park (in-person), or else and online, hands-on labs
For: Learners ready to build real multi-feature apps
Prerequisites: Course 1 or basic prompting experience
Outcome: Learners can structure multi-feature apps, use AI coding tools and IDE assistants effectively, and ship a working app to the web.
You leave with: A deployed app and a repeatable AI development workflow.
What you cover:
- Structure multi-feature apps: pages, data flows and simple databases
- Master AI coding tools and IDE assistants: Claude Code, Cursor and more
- Debug with AI: read errors, iterate quickly and recover from dead ends
- Version control basics with Git and safe deployment to the web
- Capstone: build and ship a complete working app
Module plan:
- M1 · From idea to app plan & toolchain setup
- M2 · Scaffold a multi-page app (lab)
- M3 · Review, refine & structure AI code
- M4 · Data & persistence
- M5 · Debugging & version control
- M6 · Extend & deploy your app
- M7 · Capstone: build, ship & demo
Advanced Vibe & Specification-Driven AI Coding
Structure: 7 modules · 3 hours each (21 hours) · one module per day
Format: Hong Kong Science Park (in-person), or else and online, hands-on labs
For: Builders aiming for production-quality software
Prerequisites: Course 2 or experience coding with AI
Outcome: Learners can write specifications that AI turns into reliable code, run agentic workflows with review and quality gates, and deliver a production-grade project from spec to ship.
You leave with: A production-grade project and a spec-driven playbook.
What you cover:
- Specification-driven development: write specs AI turns into reliable code
- Agentic workflows: plan, delegate and review AI-generated changes
- Testing, code review and quality gates for AI-written code
- Integrate APIs, authentication and production deployment
- Capstone: deliver a production-grade project from spec to ship
Module plan:
- M1 · Specification-driven development foundations
- M2 · Spec-to-code with agents (lab)
- M3 · Reviewing AI output & agentic workflows
- M4 · Testing & quality gates
- M5 · Code review & refactoring
- M6 · APIs, authentication & integrations
- M7 · Production deployment & capstone ship
AI Project Management & Governance
Structure: 5 modules · 3 hours each (15 hours) · one module per day
Format: Hong Kong Science Park (in-person), or else and online, hands-on labs
For: Managers, product owners and executives
Prerequisites: None (for managers and team leads)
Outcome: Leaders can scope AI projects using ROI and success metrics, run hybrid human–AI delivery, map obligations under the Hong Kong PDPO, and draft an AI policy and adoption roadmap for their organisation.
You leave with: An AI governance checklist and an adoption roadmap draft.
What you cover:
- Scope and deliver AI projects: use-case selection, ROI and success metrics
- Manage hybrid human–AI teams and AI-assisted delivery workflows
- Risk, ethics and accountability: bias, hallucination and data privacy
- Governance frameworks and the HK regulatory landscape, including the PDPO
- Build your organisation's AI policy and adoption roadmap
Module plan:
- M1 · Selecting & scoping AI projects
- M2 · Leading delivery: hybrid teams & the business case
- M3 · The AI risk landscape
- M4 · Governance frameworks & HK PDPO
- M5 · AI policy & adoption roadmap (workshop)
Set up your organisation's AI infrastructure for competitiveness
Structure: 5 modules · 3 hours each (15 hours) · one module per day
Format: Hong Kong Science Park (in-person), or else and online, hands-on labs
For: Founders, CEOs, CIOs, CTOs, COOs, digital transformation leads and department heads responsible for AI tooling decisions
Prerequisites: None (recommended: Course 4 or equivalent leadership experience)
Outcome: Leaders can select a right-sized AI infrastructure stack, redesign workflows around it, and roll out an AI-native operating model with governance in place from day one.
You leave with: A tailored AI infrastructure blueprint and rollout plan for your organisation.
What you cover:
- What 'AI-native' means: workflow integration, data readiness, human-AI role redesign, agentic operations and built-in governance
- The foundation layer: choosing an enterprise LLM assistant (Claude, ChatGPT, Copilot, Gemini) for your productivity suite and data governance needs
- Research, agentic and domain-specific tools: Perplexity, Manus, Claude Code, and stacks for coding, meetings, design and customer service
- Developer and API layer for custom builds: LLM APIs, cloud AI platforms, vector databases, RAG and orchestration (LangChain, LlamaIndex, MCP)
- Governance, enablement and a minimal starting stack: AI usage policy, enterprise SSO, training and a right-sized rollout roadmap
Module plan:
- M1 · The AI-native operating model & maturity assessment
- M2 · Selecting your foundation LLM assistant & productivity fit
- M3 · Research, agentic & domain-specific tooling
- M4 · Developer, API, RAG & data-readiness layer
- M5 · Governance, rollout roadmap & capstone blueprint
Who teaches
Your course instructors
Courses are taught by AIKm's own faculty, drawn from our Professor members and PhD Doctor members, with external specialists brought in where a topic calls for it.
- Professor members: senior academics active in AI, machine learning and enterprise knowledge management.
- PhD Doctor members: practitioners and researchers with hands-on delivery experience in industry.
- External specialists: invited when a course needs a specific tool, domain or industry perspective.
- Advanced Vibe & Specification-Driven AI Coding (Course 3) will be led by our Chief Scientist, Ir Dr Hoson Lam directly.
Training fees
Master courses: investment and pricing
Transparent HKD pricing for our open-enrolment master courses. Final quotes depend on cohort size and delivery format.
Master Courses (per person)
HK$6,800–9,800 per 15-hour course
HK$9,800–14,000 per 21-hour course
Full 5-Course Pathway bundle: HK$45,000–55,000
Includes certificate on completion, hands-on labs, and course materials.
All fees in HKD. Courses delivered in English, Cantonese, or Mandarin.
For one-to-one executive AI advisory and corporate in-house programmes, see our engagement models on the Consulting page.
Apply now
Apply for a course
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Ready to start your AI journey?
Individual enrolment or corporate team packages
Enrol in a single course or save with the full five-course pathway. Courses are delivered in English and Cantonese across Hong Kong, with private cohorts available for teams.
Enquire about a cohortConsulting servicesGuide: choosing AI training in HKResearch focus
Frequently asked questions
AI courses in Hong Kong: FAQ
What is the AIKm + PMI Master Trainer AI training pathway?
The AIKm + PMI Master Trainer pathway is a five-course programme covering AI, vibe coding and AI infrastructure: Course 1 Basic AI & Vibe Coding (15 hours, beginner), Course 2 Intermediate Vibe Coding (21 hours), Course 3 Advanced Vibe & Specification-Driven AI Coding (21 hours), Course 4 AI Project Management & Governance (15 hours, leadership), and Course 5 Set up your organisation's AI infrastructure for competitiveness (15 hours, executive). Each course stands on its own, and learners join at the level that matches their experience.
Where does AIKm run these AI courses in Hong Kong?
AIKm runs the pathway in Hong Kong in-person at Hong Kong Science Park (6/F, Harbour View 2, 16 Science Park East Avenue) and online. Private on-site cohorts can be arranged at a client's Hong Kong office.
How are the courses structured?
Every module is a 3-hour session, run one module per day. Courses 1, 4 and 5 are five modules (15 hours). Courses 2 and 3 are seven modules (21 hours). Learners earn a certificate on completing all modules of a course.
Which languages are the AIKm courses taught in?
All five courses are delivered in English or Cantonese (廣東話). Course materials are provided in English.
Do I need coding experience to take vibe coding courses?
No. Course 1 assumes no coding background: vibe coding lets non-programmers build real software by describing what they want in plain language. Course 2 assumes Course 1 or basic prompting. Course 3 assumes Course 2 or existing experience coding with AI. Courses 4 and 5 are non-technical and aimed at managers and executives; Course 5 focuses on selecting and rolling out AI infrastructure across the organisation.
Can AIKm run a private AI course for our company?
Yes. Individual enrolment and corporate team packages are available. Any course in the pathway can be run privately for a single organisation, on-site at your Hong Kong office or online, and tailored to your industry and tooling. Contact director@aikm.ai or +852 2839 8100 to enquire.
How much do the AIKm master courses cost?
Master courses are HK$6,800–9,800 per person for a 15-hour course and HK$9,800–14,000 per person for a 21-hour course. The full 5-course pathway bundle is HK$45,000–55,000 per person. Fees include the certificate on completion, hands-on labs and course materials.
What does one-to-one executive AI advisory cost?
One-to-one executive AI advisory is HK$2,000–3,500 per hour, with structured packages of HK$30,000–60,000 for 10–20 hours. It is designed for executives and senior professionals who want personalised AI strategy, governance and hands-on coaching.
How much is corporate in-house training?
Corporate in-house programmes are HK$90,000–160,000 per programme (15–21 hours, for teams of up to 20 staff), delivered on-site or online and tailored to your industry, tools and data governance requirements. Contact director@aikm.ai for a detailed proposal.