NUS
 
ISS
 

Architecting Agentic AI Solutions

Overview

Part of Graduate Certificate in Architecting AI Systems
Duration 4 days
Course Time 9:00am-5:00pm
Enquiry Please contact ask-iss@nus.edu.sg for more details.
As the capabilities of Generative AI mature, the industry focus is shifting from simple prompt engineering toward the development of autonomous, goal-driven AI agents. These agentic systems combine large language models (LLMs) with reasoning, memory, planning, and tool execution to perform complex tasks independently — from enterprise automation to customer support and domain-specific decision-making.

However, while interest in agentic AI grows, most practitioners lack the expertise to architect scalable, resilient, and secure agentic AI systems. Current LLM-focused training often emphasizes model usage and tuning, but not system design or deployment at scale — creating a significant talent gap.

This course is designed to bridge that gap by equipping participants with advanced skills in:

  • Designing logical and physical architectures for full-stack agent-based systems.
  • Implementing multi-agent collaboration strategies and real-time system interoperability.
  • Selecting and applying appropriate agentic AI frameworks - such as LangChain, AutoGen, OpenAI assistants, and Claude - for building and integrating intelligent agents into enterprise systems.

By combining hands-on experience with system-level thinking, this course prepares professionals to lead the architecture, design and implementation of next-generation AI solutions driven by autonomous, multi-agent systems.

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

Upcoming Classes

Class 1 30 Aug 2025 to 20 Sep 2025 (Part Time)

Duration: 4 days

When:
Aug:
30(Sat)
Sep:
06(Sat), 13(Sat), 20(Sat)
Time:
09:00am to 05:00pm



Key Takeaways

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

  • Differentiate AI agents from AI and RPA applications and identify the key agentic capabilities.
  • Architect an agentic AI solution following a development process.
  • Create the logical architecture of an agentic AI solution by leveraging on key architectural styles, patterns and components.
  • Select the suitable implementation frameworks for an agentic AI solution.
  • Create the physical architecture of an agentic AI solution by leveraging on the implementation frameworks and key architectural styles, patterns and components.



Who Should Attend

This course is applicable for:

  • AI Solution Architects
  • Software Solution Architects
  • AI Engineers
  • Senior Software Engineers/Technical Leads
  • Enterprise/IT Architects

Pre-requisites
Participants should have software development background with basic AI knowledge.


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

  • The process of architecting AI solutions that incorporate AI agents.
  • The applications of different types of AI agents.
  • The reference architectures for building agentic AI solutions.
  • The use of agent frameworks for building agentic AI solutions.
  • Advanced SE architecture and design techniques for integrating intelligent components.



Fees & Subsidies

Fees for 2024
  Full Fee Singaporeans & PRs
(self-sponsored)
Full course fee S$3600 S$3600
ISS Subsidy  - (S$360)
Nett course fee S$3600 S$3240
9% GST on nett course fee S$324 S$291.60
Total nett course fee payable, including GST S$3924 S$3531.60
Note:
  1. All fees and subsidies are valid from January 2024, unless otherwise advised.
  2. 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.
  3. From 1st January 2024, the GST will be increased to 9%.



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Certificate

The NUS-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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