Advanced Certificate in Generative Artificial Intelligence Apps Design and Prompt Engineering Module 1: Practical Approach to Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
- Analytics & Tech
- Artificial Intelligence
- Innovation & Business Improvement
2 Full Days (Weekdays)
Who Should Attend
- Data professionals, knowledge managers, compliance officers and business managers.
- Educators and trainers in corporate learning and development.
- Professionals in digital transformation and artificial intelligence governance roles.
PREREQUISITES
- A tertiary education or diploma with at least three years of relevant work experience.
Overview
Module 1 provides an in-depth exploration of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), focusing on real-world applications, critical analysis, and practical insights. Participants will gain familiarity with popular LLMs, including OpenAI’s GPT, Anthropic’s Claude, Google’s Gemini, and Meta’s Llama, covering use cases, strengths and weaknesses, foundation models, and benchmarks across multi-modal applications. They will also understand the use cases for RAG and how this can be implemented using LLMs. Additionally, the module introduces Project Moonshot, an innovative, open-source toolkit for benchmarking, and baseline testing, designed to enhance the safety and security of LLMs. Through hands-on activities, participants will examine applications, implications, risk management, and internal implementation of Gen AI using custom datasets with minimal technical overhead. By the end of the module, participants will have developed, deployed, and learned to govern their own customised AI knowledge solution using RAG.
Learning Objectives
At the end of the 2-day module, participants will be able to:
- Recognise the fundamental concepts of Large Language Models (LLMs) and Retrieval Augmented Generation (RAG), including stages, applications, and implications
- Explain how LLMs and RAG operate within an organisational context and identify their benefits and challenges
- Implement LLMs for specific use cases using Capabara Knowledge System (CKS), demonstrating RAG techniques to enhance knowledge system accuracy
- Examine risks associated with each of the 5 stages of LLMs and evaluate ways to mitigate these risks
- Assess LLM safety and security with Project Moonshot, incorporating feedback mechanisms for continuous improvement
- Apply feedback mechanisms for ongoing LLM improvements in CKS
- Develop custom knowledge solutions using Capabara's artificial intelligence tools, tailored to an organisation's specific needs
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$654 (After SSG Funding 70%) |
$254 (After SSG Funding 70% |
$654 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
$254 (After SSG Funding 70% |
|
International Participant |
$2,180 (No Funding) |
$2,180 (No Funding) |
$2,180 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
| Course | Dates |
|---|---|
| INTAKE 1 | 11 - 12 Jun 2025 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
