Advanced Certificate in Applied Artificial Intelligence (AI) Programming Module 9: Retrieval Augmented Generation (RAG) Programming

Analytics & Tech
Artificial Intelligence
Innovation & Business Improvement

Next Intake: 18 Sep 2025 (Thu)

Basic
SkillsFuture
Short Courses
This module is part of Advanced Certificate in Applied Artificial Intelligence (AI) Programming

Next course starts on

18 Sep 2025 (Thu) See Full Schedule

Fee

SGD2,180* (as low as SGD254 after maximum funding) Learn More

Duration

2 Full Days (Weekdays)

Level

Basic

Who Should Attend

Natural Language Processing Engineers
Data Scientists and Machine Learning Practitioners
Software Developer
Product Managers and Business Analysts
AI Enthusiasts
Professionals in Content Creation and Publishing

PREREQUISITES

Basic programming experience using Python
Knowledge of NumPy and Pandas (covered in Module 2)
Recommended to have knowledge of Machine Learning (covered in Module 3)
Recommended to have knowledge of Deep Learning (covered in Module 4)
Recommended to have knowledge of AI applications development (covered in Module 5)

Overview

Retrieval Augmented Generation (RAG) is one of the most popular use cases of Large Language Models (LLMs). It allows you to integrate LLMs with your organisation’s proprietary data. In this 2-day module, participants will dive deep into the principles, techniques, and applications of RAG, gaining hands-on experience in harnessing its capabilities to create intelligent and contextually rich text generation systems. Whether you are a seasoned practitioner or a newcomer to the field, this module offers an invaluable opportunity to master the cutting-edge technology driving the future of natural language understanding and generation.

Learning Objectives

At the end of the 2-day module, participants will be able to:

Gain a deep understanding of the principles, architecture, and techniques underlying Retrieval Augmented Generation (RAG), including the integration of retrieval-based and generative models
Familiarise themselves with leading RAG frameworks and libraries, learning how to effectively utilize them for text generation tasks and integrate them into existing systems
Gain hands-on experience in implementing RAG models, including fine-tuning pre-trained models and customizing them for specific applications and use cases
Learn how to leverage retrieval mechanisms to enhance the contextuality and relevance of generated text, ensuring more accurate and coherent outputs
Explore techniques for optimizing the performance and efficiency of RAG models, including batch processing, caching, and parallelization strategies
Develop proficiency in evaluating the performance and quality of RAG models using appropriate metrics and evaluation techniques, ensuring robust and reliable text generation systems
Apply RAG techniques and frameworks to real-world text generation tasks and scenarios, such as question answering, summarization, and conversational AI, demonstrating the practical utility and effectiveness of RAG technology
Stay informed about the latest advancements and research trends in RAG technology, enabling continued learning and adaptation to evolving best practices and methodologies.

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%
+ ETSS Funding 20%)

$654

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$254

(After SSG Funding 70%
+ MCES Funding 20%)

$254

(After SSG Funding 70%
+ ETSS Funding 20%)

$254

(After SSG Funding 70%
+ MCES Funding 20%)

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