Programme Highlights
Join our hands-on workshop to harness cutting-edge AI frameworks tailored to your business needs.
Using an interactive data analysis system as a case study, transform your ideas into reality—from concept to implementation!
Course Objectives
- Understand the concepts of Retrieval-Augmented Generation (RAG) and AI agents.
- Implement RAG frameworks effectively in practical applications.
- Explore the significance of context protocols in AI models.
- Develop applications using Vibe coding and integrate context-aware features.
- Identify best practices in context management and coding standards.
Course Fee
HK$3,000/ HK$2,700*
*Group discount for 2 or more
Date
5 December 2025 (Friday)
Time
09:30 – 17:00
Duration
Total 6 lecture hours
Medium
Cantonese with English terminology
Certificate of Achievement
A Certificate of Accomplishment will be awarded to participants who have attained 100% attendance.
Course Structure
1. Introduction to RAG and AI Agents
- Overview of RAG
- Role of AI Agents in Modern Applications
- Objectives of the Course
2. Understanding Retrieval-Augmented Generation (RAG)
- What is RAG?
- How RAG Works: Combining Retrieval and Generation
- Advantages of Using RAG in AI Models
3. Components of RAG Systems
- Data Retrieval Mechanisms
- Generative Models – Overview of Popular Models (e.g., ChatGPT, Deep Seek, Gemini)
- Integrating Retrieval with Generation
4. Implementing RAG in AI Agents
- Setting Up a RAG Framework
- Tools and Libraries for Implementation
- Hands-On Activity: Building a Simple RAG Agent
5. Introduction to AI Model Context Protocol
- Overview of Context in AI Models
- Importance of Context Protocols
- Mini Project: Set up of a data analysis project with customer data
6. Understanding Context Protocols
- Definition and Components of Context Protocols
- How Context Affects AI Performance
- Examples of Context Protocols in Use
7. Introduction to Vibe Coding
- What is Vibe Coding?
- Key Features and Benefits
- Hands-on: Setting Up the online Vibe Coding Environments
8. Integrating Context Protocols with Vibe Coding
- Designing Context-aware Applications
- Practical Examples of Integration
- Hands-On Activity: Build a data analysis Vibe Application
9. Best Practices for Context Protocols and Vibe Coding
- Strategies for Effective Context Management
- Coding Standards in Vibe
- Common Pitfalls and How to Avoid Them
- Mini Project Hands-on: Finishing the mini project with best practices
10. Future Trends and Applications
- Emerging Technologies in AI Context
- Vibe Coding in Modern Development
- Potential Use Cases
11. Q & A and Wrap-Up
- Open Floor for Questions
- Summary of Key Takeaways
Trainer
Dr Patrick TSOI has over 27 years of hands-on AI, data science, Big Data, and programming experience. He has a Doctor of Education from the Hong Kong Baptist University, a Master in IT Education from the University of Hong Kong, and a B.Eng in System Engineering and Engineering Management from the Chinese University of Hong Kong.