Artificial Intelligence Architecture for the Modern Enterprise (Classroom and Synchronous E-Learning)
- Artificial Intelligence
- Innovation & Business Improvement
This programme is conducted online and on-campus.
To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.
3 days
Who Should Attend
- Artificial Intelligence (AI) Architects
- Solution Architects
- Chief Information Officers (CIOs)
- Chief Technology Officers (CTOs)
- Business Leaders seeking to design, manage, and deploy enterprise AI systems
Overview
The programme provides a comprehensive overview of AI architecture for the modern enterprise, covering both the strategic and technical aspects needed to design and implement scalable AI solutions. Participants will learn how to bridge the gap between business needs and technological capabilities, with a focus on the end-to-end lifecycle of an AI project, from data ingestion to model deployment.
Key topics include enterprise architecture, data management pipelines, machine learning and large language models (LLMs), as well as emerging concepts such as AI factories and agent tools.
Participants will apply AI architecture concepts to practical business scenarios through interactive discussions, case studies, and hands-on exercises.
Learning Objectives
At the end of the 3-day course, participants will be able to:
- Propose a comprehensive Artificial Intelligence (AI) strategy by aligning business objectives with the technical and architectural requirements of AI systems
- Understand the strategic role of an AI architect within enterprise architecture and differentiate it from related roles such as Chief Information Officer (CIO), Chief Technology Officer (CTO), and Solutions Architect
- Design and manage an end-to-end data and machine learning pipeline, from data ingestion to model deployment, leveraging best practices for scalability and efficiency
- Apply best practices for building scalable and efficient data architectures, including Data Lakes, Data Warehouses, and Datamarts
- Evaluate and select the most suitable AI technologies, tools, and architecture frameworks for specific business problems and use cases
- Demystify AI models by progressing from foundational machine learning (ML) concepts to Large Language Models (LLMs) and their potential business applications
- Build robust and scalable enterprise AI systems, including an AI Factory framework for developing, deploying, and managing multiple AI models effectively
- Examine the use of AI agents and agent tools to enable AI systems to perform complex, multi-step tasks and workflows
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 SMU Academy.
Calculate Programme Fee
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$1,177.20 (After SSG Funding 70%) |
$457.20 (After SSG Funding 70% |
$1,177.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$457.20 (After SSG Funding 70% |
$457.20 (After SSG Funding 70% |
$457.20 (After SSG Funding 70% |
|
International Participant |
$3,924 (No Funding) |
$3,924 (No Funding) |
$3,924 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
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
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Employer 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
Employers 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
Next Intake [Open for Registration]
5, 6 & 7 Nov 2026 (In-person)
8 Nov 2026 (Online)
