Building Autonomous AI Agents

Overview

Reference No	TGS-2026063168
Part of	-
Duration
Course Time
Enquiry	Please contact ask-iss@nus.edu.sg for more details.

This three-day hands-on course address the challenge of moving beyond traditional Artificial Intelligence (AI) Chatbot toward building autonomous AI agents capable of reasoning, decision-making and interaction dynamic environments. It equips participants with skills in building and deploying AI agents using framework such as LangGraph, as well as integrating tools and Application Programming Interface (API)s to enhance functionality. Participants will also learn to implement planning and memory for adaptive, context-aware behavior, and best practice for multi-agent systems design, orchestration and coordination.

This course is part of the Software Systems series offered by NUS-ISS.

Upcoming Classes

Class 1: 16 to 18 September 2026
Duration: 3 Days
When: Sep 16, 17, 18
Mode of Conduct: Face-to-Face
Time: 9:00am to 5:30pm

Class 2: 19 to 21 October 2026
Duration: 3 Days
When: Oct 19, 20, 21
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

By the end of this course, participants will be able to:

Explain the core concepts, architecture, and components of autonomous AI agents and their differences from traditional AI applications.
Design and implement autonomous AI agents with planning, tool use, and memory integration.
Apply multi-agent collaboration and responsible autonomy principles, including guardrails, reliability, and cost optimisation.
Evaluate and deploy AI agents in a practical environment to validate real-world performance.

Who Should Attend

Software Engineer and AI practitioner
Data Engineers
Solution Architecture
Technical Leads

Pre-requisites

Participants should have:

Basic proficiency in Python programming.
Familiarity with APIs and JSON data formats.
Foundational understanding of AI/ML concepts.

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

Build a functional AI agent by integrating LLMs, implementing planning logic, tool use, and memory
Extend a single agent into a multi-agent system with coordination patterns and inter-agent communication
Add safety controls, human-in-the-loop approval, and mechanisms to manage and constrain agent behaviour
Test and validate agent behaviour to ensure reliability and performance
Deploy AI agents

Fees & Subsidies

Fees for 2024

	Full Fee	Singaporeans & PRs (self-sponsored)
Full course fee	S$2700	S$2700
ISS Subsidy	-	(S$270)
Nett course fee	S$2700	S$2430
9% GST on nett course fee	S$243	S$218.70
Total nett course fee payable, including GST	S$2943	S$2648.70

Note:

All fees and subsidies are valid from January 2024, unless otherwise advised.
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.
From 1st January 2024, the GST will be increased to 9%.

Certificate

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