Design Thinking AI Agent & Tools In Work

Course Overview

Why TAKE THIS COURSE?

AI tools are evolving faster than most teams can keep up with. This course gives you a structured way to cut through the noise — understanding what today's tools can actually do, which tool is right for which task, and how to identify a real problem worth solving.

Unlike tool-specific courses, this course covers the full landscape: Core AI capabilities across generating, transforming, retrieving, categorising, and automating work. Participants get hands-on practice across a curated set of tools including ChatGPT, Claude, Gemini, Manus, and NotebookLM — and are encouraged to bring in and experiment with tools of their own choice.

On Day 2, participants apply a design thinking framework to identify a challenge from their own work context and build a working prototype using AI tools or agents — something they can take back and use immediately.

OUTCOMES

By the end of this course, participants will achieve the following:‍

Understand the current landscape of AI tools and agents, mapped to 10+ core capability areas
Know which AI tool to use for which task and output
Write better, more effective prompts for higher quality AI outputs
Apply a design thinking framework to identify real workplace problems that AI can solve
Build and present a working AI tool or agent prototype
Use design thinking as a practical framework to innovate and solve complex problem with the help of Gen AI

THIS COURSE IS SUITABLE FOR:

Beginners who are new to Generative AI and design thinking
Professionals who want to move beyond ad hoc AI use and develop a repeatable, structured approach
Teams looking to identify and implement AI use cases relevant to their own work context
Anyone who has used AI tools casually and wants a more comprehensive understanding of what is available today
Professionals who are part of implementing AI projects in their organisations
No prior technical background or programming knowledge required

COURSE DETAILS

9AM to 5PM
HRP Course Type Code: SZC-DTAI01
Course Fees: $1200.00 nett

Course Dates And Venue

LOADING ..

Venue:

If our venue is not confirmed, we will be using one of these facilities below:

Goldhill Plaza
Village Hotel Bugis

Course Syallabus

Day 1

How generative AI works and why it behaves the way it does

The current landscape of AI tools: what exists, what each tool does well

10+ core AI capabilities: Generate, Transform, Retrieve, Categorise, and AI Agents

Hands-on practice with the right tool for every capability — participants are encouraged to experiment with tools of their own choice

Day 2

Introduction to AI Agents: what they are, what they can do, and how to build one

Introduction to design thinking as a framework for problem discovery

How to identify and frame a real workplace problem

Ideation: generating and prioritising AI-driven solutions

Hands-on prototyping: participants are given time and space to build a working AI tool or agent that solves a problem they have identified themselves

Prototype presentations and peer feedback

Pre-requisites

Need a laptop with unrestricted internet access (no download of software is needed)
Have good English proficiency (English language at GCE 'O' Level of B4 and above, or WSQ Workplace Literacy skills of Level 7 and above).
Possess basic information and communication technology (ICT) skills.
Programming knowledge is not required

Course Instructor

Brandon Ong
Lead Trainer at Sozcode

Allen Lee
Innovation @ NP

I highly recommend the Data Analysis and Visualization with Python course taught by Brandon Ong. The course is suitable for both complete novices and people who have some prior coding experience.

Brandon understands his audience's needs very well and pitches his lessons at a suitable level, avoiding complex jargon and concepts where possible. He also motivates concepts and techniques he teaches with interesting anecdotes.

Kenneth Kwok

Principal Research Scientist
A*STAR

Brandon was very clear in articulating his words and constantly reminding us that we can stop him at any point for him to repeat a process. The activities that were taught to us are very relevant to the use cases in SCDF.

Kimi Soh

Development Officer
Singapore Civil Defence Force

Brandon is really dedicated, passionate, patient. he managed to package the training in a super interactive, concise and fun manner. Its easy to retain knowledge by seeing the application of Python. This is refreshingly different from other courses

Peck Hwang Wong

Marketing Manager
Amazon

Brandon has received consistent positive feedback from the course attendees on his clear content delivery and patience in guiding the participants through scenarios which are relevant and applicable to real world challenges faced by organisations. The attendees were kept engaged during the highly interactive, well designed course and are encouraged to continue their learning of the subject matter beyond the workshop.

Doreen Ang

Trainer
Nanyang Technological University

Brandon is very knowledgeable and passionate about this topic, with plenty of real-life experiences in-built into his teaching. Instead of going chapter by chapter, we learn to apply the basic but important knowledge and go straight to playing with the software and visualization.

Ding Hui Fang

Senior Executive (Procurement)
Prime Minister’s Office

Brandon provides good project focused learning rather than the typical classroom style lecture. Examples given are very practical and real world

Yip Churn Keit

AOO
Singapore Police Force

Refreshingly different from other courses

Brandon is really dedicated, passionate, patient. he managed to package the training in a super interactive, concise and fun manner. Its easy to retain knowledge by seeing the application of Python.

Peck Hwang Wong

Marketing Manager, Amazon

Plenty of real-life experiences in-built into his teaching

Brandon is very knowledgeable and passionate about this topic. Instead of going chapter by chapter, we learn to apply the basic but important knowledge and go straight to playing with the software and visualization.

Ding Hui Fang

Senior Executive (Procurement), Prime Minister’s Office

Very relevant to our use cases

Brandon was very clear in articulating his words and constantly reminding us that we can stop him at any point for him to repeat a process.

Kimi Soh

Development Officer, Singapore Civil Defence Force

Attendees were kept engaged during the highly interactive, well designed course

Brandon has received consistent positive feedback from the course attendees on his clear content delivery and patience in guiding the participants through scenarios which are relevant and applicable to real world challenges faced by organisations. The attendees are encouraged to continue their learning of the subject matter beyond the workshop.

Doreen Ang

Trainer, Nanyang Technological University

Project focused learning rather than a lecture

Brandon provides good project focused learning rather than the typical classroom style lecture. Examples given are very practical and real world

Yip Churn Keit

AOO, Singapore Police Force

OUR TRAINING METHODOLOGY

Big-Picture Learning

Long, chapter-by-chapter course
tedious to understand

Traditional technology courses are usually taught chapter by chapter. Students often get bored and lost in a very lengthy learning process.This lengthy learning process discouragesmost students through their learning journey.

Big picture understanding of data and AI by teaching selected chapters in a 2 day course

By teaching only relevant chapters to achieve a big picture understanding, we keep students engaged throughout our course. We hope to educate and inspire individuals just enough to get started, experiment and break things.

Big-picture learning with selected chapters

Predict Singapore property prices in 2 days

• Python Basics
• How to think of Lists and Dictionary like a table
• Pandas and plotly
• Data visualisation hackathon (colleagues will present insights)
• Intuition and concepts behind machine learning
• Scikit-learn, Tensorflow

A generic Python course

Introduction to Python

• Python Basics: chapter 1, chapter 2...
• Loops, If: chapter 1, chapter 2...
• Functions: chapter 1, chapter 2...
• NumPy: chapter 1, chapter 2...