Deploying and Operating AI Solutions

Overview

Reference No	TGS-2026062339
Part of	Graduate Certificate in Architecting AI Systems
Duration	3 days
Course Time	9.00AM - 5.30PM
Enquiry	Please contact ask-iss@nus.edu.sg for more details.

The rapid advancements in AI agents have unlocked unprecedented opportunities for businesses and organisations across various sectors. However, the journey from promising models in research labs to impactful, reliable, and scalable solutions in real-world applications presents significant challenges.

This course provides comprehensive coverage on the principles, methods, and tools for integrating and deploying real-world systems that incorporate intelligent components.

Participants will learn MLOps (Machine Learning Operations) and LLMOps (Large Language Model Operations) directly address these challenges by equipping learners with the essential principles, practices, and tools to streamline the entire ML/LLM lifecycle.

This course is part of the Artificial Intelligence and Software Systems series and Graduate Certificate in Architecting AI Systems offered by NUS-ISS.

Upcoming Classes

Class 1: 6 to 8 July 2026 (EEP)
Duration: 3 Days
When: Jul 6, 7, 8
Mode of Conduct: Face-to-Face
Time: 9:00am to 5:30pm

Registration Instructions

Self-sponsored Participants

Register for the course by clicking on the "Register Now" button above
You may refer to the User Guide for Learner

Company-sponsored Participants

You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
The person in-charge may register you for the course by:
- Generating a corporate registration link for you to register for the course
  - After the link is generated, you must:
    1. Log in to L³AP by clicking on the "Register Now" button
    2. Click on the corporate registration link after logging in
  - If you do not follow the above instructions, you will be registered for the course as self-sponsored
- Registering you for the course backend
  - You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
You may refer your HR/L&D POC to the User Guide for Company

Key Takeaways

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

Differentiate MLOps and traditional DevOps in terms of objectives, characteristics, challenges, approaches .
Design and evaluate the pipeline of a ML model and its operational data by leveraging MLOps platforms and best practices.
Architect the scaling of ML with Cloud & MLOps Platforms
Differentiate LLMOps and MLOps including the deployment strategies
Design and evaluate the pipeline and conduct the tasks of the pipeline of LLM and its operational data by leveraging on LLMOps platforms and best practices.

Who Should Attend

This course is applicable for:

Data Scientists
AI and ML Engineers
DevOps Engineers
Software Engineers who are part of a deployment team which facilitates a complete end-to-end process spanning from development to production

Pre-requisites

Participants should have some knowledge of DevSecOps.

What to Bring

No printed copies of course materials are issued.
Participants must bring their laptops (participants will not be able to complete the workshop with their tablets) with power charger to access and download course materials.

If you are bringing a laptop, please see below for the tech specs:

	Minimum	Recommended
Computer and processor	1.6 GHz or faster, 2-core Intel Core i3 or equivalent	1.8 GHz, 2-core Intel Core i3 or equivalent
Memory	4 GB RAM	8 GB RAM
Hard Disk	256 GB disk size
Display	1280 x 768 screen resolution (32-bit requires hardware acceleration for 4K and higher)
Graphics	Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).	DirectX 10 graphics card for graphics hardware acceleration
Others	An internet connection – broadband wired or wireless Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth A webcam or HD webcam - built-in or USB plug-in

What Will Be Covered

Advanced MLOps techniques, particularly on the deployment of ML models
LLMOps techniques, particularly on the deployment of LLMs.

Fees & Subsidies

SkillsFuture Singapore (SSG) Funding 2026 (Effective 1 July)

Fee Component	Full Course Fees	Singapore Citizens & PRs Aged 21 Years and Above (70% Funding Support)	Singapore Citizens Aged 40 Years and Above (90% Funding Support)	Enhanced Training Support for SMEs (ETSS) (90% Funding Support)
Full Course Fee	S$2,850.00	S$2,850.00	S$2,850.00	S$2,850.00
SSG Funding	-	S$1,995.00	S$1,995.00	S$1,995.00
Nett Course Fee	S$2,850.00	S$855.00	S$855.00	S$855.00
9% GST on Nett Course Fee	S$256.50	S$76.95	S$76.95	S$76.95
Additional Funding if Eligible Under Various Schemes	-	-	S$570.00	S$570.00
Total Nett Course Fee Payable, Including GST	S$3,106.50	S$931.95	S$361.95	S$361.95

Note:

SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
SME fees are applicable only to participants who are sponsored by small and medium enterprises.
SSG funding is subjected to availability.

Certificate

The ISS Certificate of Completion will be issued to participants who have attended at least 75% of the course and passed the required assessments.

Preparing for Your Course

NUS-ISS Course Registration Terms and Conditions

Find out more.

NUS-ISS and Learner’s Commitment and Responsibilities

Find out more.

WIFI Access

WIFI access will be made available to participants.

Venue

NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615

Click HERE for directions to NUS-ISS

In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.

Course Confirmation

All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.

General Enquiry

Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.

Course Resources

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