Practical Approach to Large Language Models and Retrieval-Augmented Generation.

Who Should Attend?

This course is ideal for:

  • Data professionals, knowledge managers, and compliance officers interested in LLMs and RAG
  • Business managers looking to implement AI solutions with minimal technical involvement
  • Educators and trainers in corporate L&D
  • Professionals in digital transformation and AI governance roles
Training Partners

LATEST UPDATE
Participants are required to attain a minimum of 75% training attendance and pass the associated assessment in order to be eligible for course fee funding. Click  here  for more information.

NEXT INTAKE INFORMATION
26 – 27 Oct 2026 [Open for Registration]
Mode of Delivery: In-person

*NEW Evening Class: 05, 07, 12, 14 Jan 2027 [Open for Registration]
Mode of Delivery: In-person
*Online registration will close 5 calendar days before the course start date or once the maximum class size is met, whichever comes first.

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 course introduces Project Moonshot, an innovative, open-source  toolkit for benchmarking, and baseline testing, designed to enhance the safety and security of LLMs.

Designed for non-technical professionals with domain expertise, this course requires no programming experience. Participants will use Capabara AI Assistant (CAI) and Capabara Knowledge System (CKS) with hands-on exercises utilizing RAG to work through the 5 stages of advanced  LLMs. Through these activities, they will examine applications, implications, risk management, and internal implementation of Generative AI using custom datasets with minimal technical overhead.

TOPICS COVERED

  • Introduction to LLMs and RAG
  • 5 Stages of an AI Powered by LLMs
  • Applications and Implications of LLMs and RAG
  • Project Moonshot: Gen AI Evaluation Toolkit
  • Introduction to Capabara AI and Knowledge Assistant
  • Hands-on Assignment

This module is part of the Advanced Certificate in General Artificial Intelligence Apps Design & Prompt Engineering programme.

Details

PRE-REQUISITE
Participants should preferably have tertiary qualifications and/or at least 3 years of working experience.

Learning Objectives

At the end of the course, participants will be able to:

  • Recognize the fundamental concepts of LLMs and RAG, including stages, applications, and implications.
  • Explain how LLMs and RAG operate within an organizational context and identify their benefits and challenges.
  • Implement LLMs for specific use cases using Capabara’s 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 AI tools, tailored to an organization’s specific needs.
Assessments

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.
For more information on assessment and re-assessment policy, click here.

Certification

Advanced Certificate in Gen AI Apps Design and Prompt Engineering

Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 6 modules within 3 years in order to be awarded the digital Advanced Certificate in General Artificial Intelligence Apps Design & Prompt Engineering issued by Singapore Management University.

Trainers

Dr Kevin Shepherdson

CEO & Founder,
Straits Interactive

Kevin provides and drives the vision, strategy and innovation of the company’s Data Privacy, GRC (Governance, Risk Management & Compliance), Data Governance and Gen AI offerings that build upon the foundation of enabling trusted businesses and responsible marketing. He has also attained his Doctorate of Business Administration (DBA) specialising in Generative AI from Golden Gate University. Previously, Kevin had a successful career riding on market and tech trends with leading MNCs in multimedia (Creative), Internet/Java (Sun) and Database/Cloud technology (Oracle). He is also the author of the books “99 Privacy Breaches to Beware of”, “The AI Factory” and “AI Ethical Breaches to Be Aware Of”. In 2021, Kevin was awarded the SkillsFuture Fellowship in recognition of his commitment to lifelong learning and skills mastery.

Dr Celine Chew

Head of Learning & Development,
Straits Interactive

As a Certified Information Privacy Manager (CIPM), Celine provides insights into the behavioural change and learning required for teams to embrace change initiatives. She offers comprehensive training for Data Protection Officers (DPOs) and companies, propelling digital transformation in data protection and governance. She has attained her DBA I Generative AI and also has extensive training experience internationally and specialises in the social, emotional and cognitive aspects of learning. She is also an executive coach to senior executives in multinational and regional companies.

Alvin Toh 

CMO & Co-Founder,
Straits Interactive

As Chief Marketing Officer and Head of International Operations of Straits Interactive, Alvin drives marketing strategy, awareness and partner relationships for the company’s innovative privacy solutions that build upon the foundation of responsible marketing.

Using his extensive sales and marketing experience, Alvin was involved in helping SMEs in their marketing and digital marketing activities prior to co-founding Straits Interactive. In addition, he is a sought-after regional speaker on data protection and privacy management as well as a trainer in data protection and digital marketing.

He holds an Executive MBA, International Business Administration, from Rutgers, The State University of New Jersey-New Brunswick and internationally recognised professional qualifications from the International Association of Privacy Professionals, Open Compliance Ethics Group and EXIN.  His credentials from these examining bodies include the Certified Information Privacy Manager and Technologist (CIPM and CIPT), the Certified Information Privacy Professional /Asia (CIPP /A) and the GRC Processional (GRCP) Certification. Locally, Alvin received the Advanced Diploma in Data Protection (SMU).

Harish Pillay 

Advisor, Gen AI & AI Governance
Straits Interactive

Experienced ethical technologist with over 30 year track record in the computer software and hardware industry. He is well known in the open source computing ecosystem – especially on the use of licensing, standards, policies and coding practises. Strong engineering professional with a Masters in Electrical and Computer Engineering from Oregon State University. In 2005, he was inducted into the Council of Outstanding Early Career Engineers by the College of Engineering, Oregon State University. He is a member of the Engineering Accreditation Board accrediting engineering degrees under the Washington Accord. All of these augmented with skills in International Arbitration, Internet security and Open Source Metrics (chaoss.community) helps to roll up to being a Tech Ethicist.

Fees & Funding

COMPANY-SPONSORED
PARTICIPANT PROFILE
SELF-SPONSORED
SME
NON-SME

Singapore Citizen < 40 years old 
Permanent Resident 
LTVP+ 

$654

After SWDA Funding 70%

$254

After SWDA Funding 70%

+ ETSS Funding (20%)

$654

After SWDA Funding 70%

Singapore Citizen ≥ 40 years old

$254

After SWDA Funding 70%

+ MCES Funding (20%)

$254

After SWDA Funding 70%

+ MCES Funding (20%)

$254

After SWDA Funding 70%

+ MCES Funding (20%)

International Participant

$2,180

(No Funding)

$2,180

(No Funding)

$2,180

(No Funding)

Please note that prices listed above are inclusive of the new 9% GST, applicable from January 1, 2024.
SkillsFuture Level-Up Programme for Mid-Career Individuals

A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.

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

Workfare Skills Support (WSS) Scheme in replacement of Workfare Training Support (WTS) 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 Scheme

• Organisation must be registered or incorporated in Singapore
• Employment size of not more than 200 or with annual sales turnover of not more than SGD100 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
• Trainers must not be a full-time national serviceman
• Trainees will be able to enjoy ETSS funding only if the company’s SME’s status has been approved. To verify your SME’s status, please click here.

# 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)

# SkillsFuture Enterprise Credit (SFEC)

This course is eligible for SFEC funding. Companies should check their SFEC eligibility on the Business Grant Portal.

Practical Approach to Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)

  • 26 Oct – 27 Oct 2026
  • 2 Days

This course includes:

  • Participants will receive the course material in the form of digital e-book. To access your digital e-book, you need to install Adobe Digital Editions or BlueFire. Visit – https://bit.ly/ade-ebook-guide for more guidance on how to open the e-book.