Course No.
252-191300-01
Course Type
Part-time
Start Date
06/08/2025
Total Hours
30.00
Commenced
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Commenced
Course Detail
New
-
Schedule
Wednesday -
Time
18:45 - 21:45 -
Venue
Tsimshatsui Oriental Learning Centre -
Session
10 -
Instructor
CUSCS Instructor -
Level
General Short Courses -
Tuition Fee
$4,800 -
Language Used
Cantonese (supplemented with English) -
Closing Date for Application
Enrolment deadline is 10 calendar days before the course commencement date. Late enrolment will only be considered if there are still vacant places. -
Course Enquiries
-
Enrolment Enquiries
Admission Requirement
The participants shall have a basic knowledge in Python programming.
Introduction
This course explores Artificial Intelligence (AI) and Machine Learning (ML), focusing on large language models (LLMs) and their practical applications. Students will be introduced to the fundamentals of prompt engineering, Python programming, data handling, and popular LLM frameworks. The course will also cover the implementation of open-source LLMs, deploying Retrieval-Augmented Generation (RAG) solutions such as AI chatbots, evaluating LLM performance, and fine-tuning models to optimize performance and adaptability.
Topics
1. Overview of use cases of LLM solutions
2. Prompt engineering
3. Python Basic
4. LLM Solution frameworks
5. Security and ethical consideration in LLM solution deployment
6. Deploying Open source LLM solutions
7. Implementation of Document Searching engine (RAG)
8. Advanced RAG techniques
9. Practical AI Chatbot Deployment
10. Evaluation of LLM solutions
11. Web scraping techniques
12. Content summarization with LLM
13. Fine tuning of LLM solutions
#artificialintelligence #applsci #chatbot #chatgpt #perplexity #copilot #grok #poe #deepseek #gemini
2. Prompt engineering
3. Python Basic
4. LLM Solution frameworks
5. Security and ethical consideration in LLM solution deployment
6. Deploying Open source LLM solutions
7. Implementation of Document Searching engine (RAG)
8. Advanced RAG techniques
9. Practical AI Chatbot Deployment
10. Evaluation of LLM solutions
11. Web scraping techniques
12. Content summarization with LLM
13. Fine tuning of LLM solutions
#artificialintelligence #applsci #chatbot #chatgpt #perplexity #copilot #grok #poe #deepseek #gemini