Large Language Models (LLM): From AI Applications to Project Management for Business Executives - HKPC Academy
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Large Language Models (LLM): From AI Applications to Project Management for Business Executives
10018951-02
HKPC Building 78 Tat Chee Avenue Kowloon
2026-06-12
Ms Fannie KWOK - 27886271 | Ms Becky YU - 27885029
fannie@hkpc.org
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Programme Highlights

Unlock the power of Large Language Models in your company! From theory to implementation, master key concepts, latest applications, project management tips, vendor strategies, and security concerns. Anyone without a technical background can learn how to manage an LLM project!

Learning Outcomes

In this hands-on session, you will learn:

  • Understand the fundamentals of Large Language Models (LLMs) and their applications
  • Implement LLM projects effectively, covering the project lifecycle and vendor management
  • Address security considerations such as On-Premise vs. Cloud, privacy, etc

Course Fee

HK$3,000/ HK$2,700*
*Group discount for 2 participants or more

Date

12 Jun 2026 (Fri)

Time

09:30 – 17:00

Duration

Total 6 lecture hours

Medium

Cantonese
(supplemented with English terminology and handouts)

Certificate of Achievement

A Certificate of Attendance will be awarded to participants who have completed the course.

Course Structure

1. Introduction to Large Language Models (LLMs) and Generative AI
  • What are LLMs and GenAI?
  • Importance in today’s digital landscape
  • Core concepts and key knowledges
    • How AI learns and performs
    • LLM essential terms and knowledges
    • Major capacity and limitations of LLMs and GenAI
2. Applications and Use Cases of LLMs
  • Real-world applications and use cases highlight (GOV, Business from different locations)
  • Citizen services and chatbots
  • Document analysis and summarisation
  • Policy development and analysis
  • Multilingual communication
  • Cybersecurity and fraud detection
3. Implementing LLM Projects: The Project Decision Framework
  • AI Project lifecycle
  • From goal setting, data preparation, model selection, implementation, evaluation and deployment monitoring
  • Model capacity and cost considerations
  • Cloud AI and on-premise AI feasibility
  • Hands-on exercises to go through LLM applications, implementation and evaluation
4. Project Management Tips and Vendor Consideration for LLM Projects
  • Types of LLM project and implementation approach
  • Key factors of successful GenAI/LLM project
  • Stakeholder management
  • Change management and user adoption
  • LLM related vendor consideration criteria
5. AI Data Security and Ethical Considerations
  • AI data security overview and potential threads
  • Cloud AI and on-premise AI consideration
    • Pros and Cons, capacity, model options, costing
    • High-level solution design options
  • Privacy concerns and smart data management
  • Security and compliance considerations (e.g. ISO, local regulations)
  • Accuracy and Bias in LLMs
6. Key Skills Future Trends and Opportunities
  • Major skills and mindsets ready for LLM
  • Potential future applications in government
  • Preparing for the evolving landscape
  • Key takeaways

Trainer

Kit WONG

Graduated from the City University of Hong Kong. With 15+ years of experience, Kit helps businesses thrive through AI, cloud, and digital marketing solutions. He’s a skilled developer, consultant, and trainer, delivering engaging Generative AI x ChatGPT workshops for diverse audiences, from government, property, to finance. His expertise empowers participants to implement AI solutions and achieve operational excellence.

Matt YIU (Co-trainer)

Matt is an accomplished software engineer with a proven track record of optimising cloud systems for operational efficiency . He holds a Master of Philosophy degree in Computer Science and Engineering, bringing a deep understanding of complex technical concepts to his training sessions. Matt’s expertise ensures participants gain valuable insights and practical skills in utilizing AI-powered tools.

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