To optimize the learning experience, all participants are required to be equipped with a window laptop, pre-installed with Power Automate Desktop software.
Programme Objective
Day 1 workshop introduces artificial intelligence (AI), focusing on its significance in today's world and the opportunities and challenges it presents. Our goals are to provide conversational knowledge of AI terms and concepts, and to explore actionable applications of AI in your daily or weekly tasks.
Day 2 workshop aims to introduce participants to Power Automate Desktop, a platform to automate simple and repetitive tasks - like creating macros but not limited to Excel!
Tasks could include:
- Data entry
- Collating or formatting data
- Interacting with legacy software
Programme Outline
Day 1: Artificial Intelligence and Machine Learning
We begin by addressing critical questions such as whether AI is merely a passing trend and how individuals can reinvent themselves to thrive in an AI-driven landscape. Through these discussions, participants will develop a nuanced understanding of AI's transformative power and its implications for the workforce.
The course then introduces essential AI concepts and terms. Participants will engage in hands-on activities, such as collecting a dataset and training a machine learning model, to solidify their understanding of what’s happening behind the scenes of these AI models. Participants will also have many chances to interact with Generative AI chatbots (e.g. ChatGPT) to explore how they can use them daily to help complete various tasks with greater efficiency.
Finally, we will discuss some of the concerns and challenges with AI such as model bias, privacy risks, and the risks of incorrect predictions. The course concludes with a forward-looking discussion on how AI is expected to change over the coming years, empowering participants with insights to navigate the evolving landscape of artificial intelligence.
Why Artificial Intelligence?
- Is it just hype?
- Will it replace us?
- How can I reinvent myself to succeed alongside AI?
Demystifying AI: An Overview of Terms and Concepts
- What is Machine Learning? Supervised Learning? Natural Language Processing?
- A look behind the scenes of AI to better understand capabilities and limitations
Machine Learning Models
- Establishing foundational knowledge by exploring use cases in computer vision
- Hands-on: Collecting a data set and training a machine learning model
Chatbots
- Examining the buzz around Generative AI chatbots like ChatGPT
- Hands-on: Using Generative AI chatbots to improve our efficiency
Exploring Financial Data with Machine Learning
- How can AI learn how to evaluate financial data?
- Demo: Identifying outliers (e.g. fraudulent transactions) with a machine learning model
AI Challenges and Limitations
- Understanding where we should and should NOT use artificial intelligence
- Exploring model bias, privacy, inaccurate output, and other AI concerns
Wrap Up
- Looking Ahead: how will AI impact the coming decade?
Day 2: Robotics Process Automation (RPA)
Introduction to Power Automate Desktop
- Understand the difference between Power Automate Desktop and Web
- Learn and navigate the user interface
- Basics of Building Desktop Flows
- Variables
- Conditionals
- Lists and Loops
- Excel and Datatables (spreadsheets inside Power Automate)
- Hands-on: error-checking ledger data
- Hands-on: merging invoice data
- Using the Recorder to interact with legacy accounting software
- Hands-on: account creation for new customers/suppliers
- Interacting with Web platforms
- Hands-on: checking for updates on a website using web scraping
- Identifying optimal tasks to automate with Power Automate Desktop
| Programme | 2024 Dates |
DGT047A: Artificial Intelligence and Machine Learning (Classroom)
(1-DAY)
Level: Foundation | - 21 Mar 2024
- 4 Nov 2024
Please click here to find out more. |
DGT047B: Robotics Process Automation Learning (Classroom)
(1-DAY)
Level: Intermediate | - 22 Mar 2024
- 5 Nov 2024
Please click here to find out more. |
DGT047C: Artificial Intelligence and Machine Learning (Classroom)
(2-DAY)
Level: Foundation to Intermediate | - 21 & 22 Mar 2024
- 4 & 5 Nov 2024
Please click here to find out more. |
Training Methodology
This course will alternate periods of lecture with demonstrations and hands-on activities. We believe strongly in differentiated, hands-on learning. For a learner, no amount of listening to lectures about “how to program” can beat the learning experience of putting hands onto keyboards and creating meaningful, tangible projects. We aim to design our lessons and workshops to be hands-on, highly participative, and with tangible, concrete outcomes, so that participants will be engaged at all times: programming, tinkering with hardware, looking up solutions, or trying to solve a problem. Such hands-on workshops are naturally more time-consuming to prepare and more difficult to deliver, but we strongly believe that this is the best way for participants to learn the material effectively, and will elicit the best learning outcomes.
Our goal is to ensure participants have enough skills to embark on future projects of their own, rather than just copying and pasting code to see things work. In our classes, learners will be carefully guided through the basic concepts, before being challenged to apply these concepts to create applications they can be proud of and, more importantly, use for future reference.
Our curriculum is designed by a team of trained teachers with real classroom teaching experience in MOE schools, and taught by trainers who possess actual programming experience from developing electronics and applications for startups and companies. We aim to adapt the best teaching materials available from all over the world, while supplementing them with best practices from our industry experience, to create the most effective programming courses for learners of all levels.
Closing Date for Registration
1 week before programme or until full enrolment
Intended For
- Accounting professionals looking to learn more about AI and ML and explore potential use cases
- Professionals looking to learn more about Robotic Process Automation (RPA) with an eye towards future adoption.
- Professionals interested in getting hands-on experience creating their own RPA programs with UiPath to help automate accounting tasks
Competency Mapping
Category 5 = 14.00 Hours
Schedule & Fees
Date & Time
15 May 2025 (9:00 AM - 5:00 PM)
16 May 2025 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
SGD pricing -
For Members:
$ 587.51
For Non-Members:
$ 699.78
Programme Facilitator(s)
Team of Professionals (Tinker Tanker)
Venue
60 Cecil Street
ISCA House
Singapore 049709
Date & Time
10 Nov 2025 (9:00 AM - 5:00 PM)
11 Nov 2025 (9:00 AM - 5:00 PM)
Fee (inclusive of GST)
SGD pricing -
For Members:
$ 935.22
For Non-Members:
$ 1,110.71
Programme Facilitator(s)
Team of Professionals (Tinker Tanker)
Venue
60 Cecil Street
ISCA House
Singapore 049709
Testimonial
I understand a lot more on AI and machine learning and how it can be used to help us in many fields of work.
Past Participant
I think this course is good as it is very interactive, and we can practice how to construct simple RBA.
Past Participant
it is a very informative programme and the instructor is very engaging!
Past Participant
It shows how to use python codes in machine learning models. Explanation is clear.
Past Participant
Understand what is RPA and the available RPA in the market
Past Participant
The trainer, Akmal is very knowledgeable and up to date in his area of expertise. His energy makes the class a
joy to be in. He is also patient and showed interest in sharing his experience and knowledge with the class. Well
done.
Past Participant
Funding
1] NTUC Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% *unfunded course fee support for up to $250 each year when you sign up for courses supported under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025.
*Unfunded course fee refers to the balance course fee payable after applicable government subsidies. This excludes material fees, registration fees, misc. fees etc.
This course is approved for UTAP support for intakes conducted between 08 February 2024 – 31 March 2025.
As UTAP is given on calendar year basis, and calculated based on year of training taken, it cannot be accumulated.
- Maintained paid-up NTUC membership before course, throughout course duration and at the point of claim and;
- Course by training provider must be supported under UTAP and training must commence within the supported period and;
- Unfunded course fee must not be fully sponsored by company or other types of funding
- Unfunded course fee must be S$20.00 and above, and;
- Member must achieve a minimum of 75% attendance for each application and sat for all prescribed examination(s), if any and;
- UTAP application must be made within 6 months after course ends.
For more information on UTAP Funding and to submit for UTAP claims, please visit https://www.ntuc.org.sg/uportal/programmes/union-training-assistance-programme. Terms and conditions apply.
Programme Facilitator(s)
Team of Professionals (Tinker Tanker)
Note: The session will be facilitated by either one of the trainers.
Michael Gonsalves
Mike is a curriculum developer and educator with a degree focused in actuarial science, statistics, and mathematics. He has data science experience as an actuarial analyst, computer science experience as a web consultant, as well as over thousands of hours of classroom time teaching programming and technology. He’s taught and developed lesson plans for all ages in topics and tools as diverse as Blockchain, Machine Learning, Data Science, Python, Swift, Minecraft, Azure, IBM Watson, Raspberry Pi, Micro:bit, littleBits, and Scratch.
Kent Tan
Kent is a senior IT and Technologies practitioner and manager of more than 20 years. Passionate in integrating business with technologies for the betterment of human society. He has experience in building and managing IT team in a listed corporation. He oversaw digitalisation roadmap, data protection and IT policies, technologies refresh implementation and business IT continuity plan execution. Currently, he is an associate lecturer in Republic Polytechnic teaching infocomm related courses. He also has hands-on experience and working knowledge in .NET, C#, HTML, CSS, JS, AI/ML, Business Analytics, Python, Flutter, Swift, Xd, UiPath.
John Su
John is an educational coach and the founder of his own education firm, with a degree in psychology and over 8 years of experience in coaching. He has covered a wide range of topics, including data science, programming languages such as Python and Swift, and various educational tools such as Minecraft, Azure, Raspberry Pi, Micro:bit, littleBits, Unity, and Scratch. John is passionate about passing on his knowledge and experience to the next generation and has mentored and trained students in STEM, design thinking, coding, and problem-solving. He is a registered MOE educational coach and has experience in lesson planning and consulting for student projects. John is also skilled in business development, networking, and in-house training programs, having served as the Managing Director and Business Development Manager for different companies.
Akmal Abd Rahman
Akmal runs Tinkercademy for schools and the public, and oversees curriculum design, logistics, manpower, materials, and… everything else, really. He graduated from Cornell University, taught at North View Secondary, and plays indie music nobody else in the office seems to appreciate.
To optimize the learning experience, all participants are required to be equipped with a window laptop, pre-installed with Power Automate Desktop software.
Programme Objective
Day 1 workshop introduces artificial intelligence (AI), focusing on its significance in today's world and the opportunities and challenges it presents. Our goals are to provide conversational knowledge of AI terms and concepts, and to explore actionable applications of AI in your daily or weekly tasks.
Day 2 workshop aims to introduce participants to Power Automate Desktop, a platform to automate simple and repetitive tasks - like creating macros but not limited to Excel!
Tasks could include:
- Data entry
- Collating or formatting data
- Interacting with legacy software
Programme Outline
Day 1: Artificial Intelligence and Machine Learning
We begin by addressing critical questions such as whether AI is merely a passing trend and how individuals can reinvent themselves to thrive in an AI-driven landscape. Through these discussions, participants will develop a nuanced understanding of AI's transformative power and its implications for the workforce.
The course then introduces essential AI concepts and terms. Participants will engage in hands-on activities, such as collecting a dataset and training a machine learning model, to solidify their understanding of what’s happening behind the scenes of these AI models. Participants will also have many chances to interact with Generative AI chatbots (e.g. ChatGPT) to explore how they can use them daily to help complete various tasks with greater efficiency.
Finally, we will discuss some of the concerns and challenges with AI such as model bias, privacy risks, and the risks of incorrect predictions. The course concludes with a forward-looking discussion on how AI is expected to change over the coming years, empowering participants with insights to navigate the evolving landscape of artificial intelligence.
Why Artificial Intelligence?
- Is it just hype?
- Will it replace us?
- How can I reinvent myself to succeed alongside AI?
Demystifying AI: An Overview of Terms and Concepts
- What is Machine Learning? Supervised Learning? Natural Language Processing?
- A look behind the scenes of AI to better understand capabilities and limitations
Machine Learning Models
- Establishing foundational knowledge by exploring use cases in computer vision
- Hands-on: Collecting a data set and training a machine learning model
Chatbots
- Examining the buzz around Generative AI chatbots like ChatGPT
- Hands-on: Using Generative AI chatbots to improve our efficiency
Exploring Financial Data with Machine Learning
- How can AI learn how to evaluate financial data?
- Demo: Identifying outliers (e.g. fraudulent transactions) with a machine learning model
AI Challenges and Limitations
- Understanding where we should and should NOT use artificial intelligence
- Exploring model bias, privacy, inaccurate output, and other AI concerns
Wrap Up
- Looking Ahead: how will AI impact the coming decade?
Day 2: Robotics Process Automation (RPA)
Introduction to Power Automate Desktop
- Understand the difference between Power Automate Desktop and Web
- Learn and navigate the user interface
- Basics of Building Desktop Flows
- Variables
- Conditionals
- Lists and Loops
- Excel and Datatables (spreadsheets inside Power Automate)
- Hands-on: error-checking ledger data
- Hands-on: merging invoice data
- Using the Recorder to interact with legacy accounting software
- Hands-on: account creation for new customers/suppliers
- Interacting with Web platforms
- Hands-on: checking for updates on a website using web scraping
- Identifying optimal tasks to automate with Power Automate Desktop
| Programme | 2024 Dates |
DGT047A: Artificial Intelligence and Machine Learning (Classroom)
(1-DAY)
Level: Foundation | - 21 Mar 2024
- 4 Nov 2024
Please click here to find out more. |
DGT047B: Robotics Process Automation Learning (Classroom)
(1-DAY)
Level: Intermediate | - 22 Mar 2024
- 5 Nov 2024
Please click here to find out more. |
DGT047C: Artificial Intelligence and Machine Learning (Classroom)
(2-DAY)
Level: Foundation to Intermediate | - 21 & 22 Mar 2024
- 4 & 5 Nov 2024
Please click here to find out more. |
Training Methodology
This course will alternate periods of lecture with demonstrations and hands-on activities. We believe strongly in differentiated, hands-on learning. For a learner, no amount of listening to lectures about “how to program” can beat the learning experience of putting hands onto keyboards and creating meaningful, tangible projects. We aim to design our lessons and workshops to be hands-on, highly participative, and with tangible, concrete outcomes, so that participants will be engaged at all times: programming, tinkering with hardware, looking up solutions, or trying to solve a problem. Such hands-on workshops are naturally more time-consuming to prepare and more difficult to deliver, but we strongly believe that this is the best way for participants to learn the material effectively, and will elicit the best learning outcomes.
Our goal is to ensure participants have enough skills to embark on future projects of their own, rather than just copying and pasting code to see things work. In our classes, learners will be carefully guided through the basic concepts, before being challenged to apply these concepts to create applications they can be proud of and, more importantly, use for future reference.
Our curriculum is designed by a team of trained teachers with real classroom teaching experience in MOE schools, and taught by trainers who possess actual programming experience from developing electronics and applications for startups and companies. We aim to adapt the best teaching materials available from all over the world, while supplementing them with best practices from our industry experience, to create the most effective programming courses for learners of all levels.
Closing Date for Registration
1 week before programme or until full enrolment
Intended For
- Accounting professionals looking to learn more about AI and ML and explore potential use cases
- Professionals looking to learn more about Robotic Process Automation (RPA) with an eye towards future adoption.
- Professionals interested in getting hands-on experience creating their own RPA programs with UiPath to help automate accounting tasks
Competency Mapping
Category 5 = 14.00 Hours
Programme Facilitator(s)
Team of Professionals (Tinker Tanker)
Note: The session will be facilitated by either one of the trainers.
Michael Gonsalves
Mike is a curriculum developer and educator with a degree focused in actuarial science, statistics, and mathematics. He has data science experience as an actuarial analyst, computer science experience as a web consultant, as well as over thousands of hours of classroom time teaching programming and technology. He’s taught and developed lesson plans for all ages in topics and tools as diverse as Blockchain, Machine Learning, Data Science, Python, Swift, Minecraft, Azure, IBM Watson, Raspberry Pi, Micro:bit, littleBits, and Scratch.
Kent Tan
Kent is a senior IT and Technologies practitioner and manager of more than 20 years. Passionate in integrating business with technologies for the betterment of human society. He has experience in building and managing IT team in a listed corporation. He oversaw digitalisation roadmap, data protection and IT policies, technologies refresh implementation and business IT continuity plan execution. Currently, he is an associate lecturer in Republic Polytechnic teaching infocomm related courses. He also has hands-on experience and working knowledge in .NET, C#, HTML, CSS, JS, AI/ML, Business Analytics, Python, Flutter, Swift, Xd, UiPath.
John Su
John is an educational coach and the founder of his own education firm, with a degree in psychology and over 8 years of experience in coaching. He has covered a wide range of topics, including data science, programming languages such as Python and Swift, and various educational tools such as Minecraft, Azure, Raspberry Pi, Micro:bit, littleBits, Unity, and Scratch. John is passionate about passing on his knowledge and experience to the next generation and has mentored and trained students in STEM, design thinking, coding, and problem-solving. He is a registered MOE educational coach and has experience in lesson planning and consulting for student projects. John is also skilled in business development, networking, and in-house training programs, having served as the Managing Director and Business Development Manager for different companies.
Akmal Abd Rahman
Akmal runs Tinkercademy for schools and the public, and oversees curriculum design, logistics, manpower, materials, and… everything else, really. He graduated from Cornell University, taught at North View Secondary, and plays indie music nobody else in the office seems to appreciate.