UiPath Installation:
To optimize the learning experience, all participants are required to be equipped with a window laptop, pre-installed with UiPath software.
Programme Objective
This course 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.
This course is intended to introduce Robotic Process Automation (RPA) through a series of hands-on activities using the UiPath software. Discussion points will include if RPA is the correct solution for your automation needs, and if so, what to consider when implementing it. Participants will create their own RPA projects for real-world tasks to gain insight to the adoption process and potential of the technology.
Please note that UiPath (like all leading RPA software currently) is a Windows-only software. If at all possible, we highly recommend you install it and follow along with the activities, but it’s possible to just watch and learn from the demonstrations alone.
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 Robotics Process Automation (RPA)
- What is RPA?
- History of RPA
- Suitable Accounting Processes for RPA
- RPA Tools / Vendors
- UiPath Ecosystem
Hands on with UiPath
- My First Robot: Writing to Notepad
- Interacting with Legacy Software
- Opening a software and interacting with it
- Introduction to Computational Thinking
- Breaking down RPA projects into small steps robots can follow
- Reading Excel Data Conditionally
- Handle repetitive dataset tasks automatically
- Interactive RPA Quiz #1
- Coding Concepts in UiPath
- Variables, Data Types, Conditionals, and Loops
- Artificial Intelligence in RPA
- Extracting Data using Optical Character Recognition (OCR)
- Automate Invoice Processing or Digitisation
Evaluating RPA
- Benefits and Cost Savings
- Challenges and Potential Pitfalls
- Interactive RPA Quiz #2
- Where Are We Today?
- Interactive RPA Quiz #3
Course Recap
| 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
Schedule & Fees
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)
UiPath Installation:
To optimize the learning experience, all participants are required to be equipped with a window laptop, pre-installed with UiPath software.
Programme Objective
This course 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.
This course is intended to introduce Robotic Process Automation (RPA) through a series of hands-on activities using the UiPath software. Discussion points will include if RPA is the correct solution for your automation needs, and if so, what to consider when implementing it. Participants will create their own RPA projects for real-world tasks to gain insight to the adoption process and potential of the technology.
Please note that UiPath (like all leading RPA software currently) is a Windows-only software. If at all possible, we highly recommend you install it and follow along with the activities, but it’s possible to just watch and learn from the demonstrations alone.
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 Robotics Process Automation (RPA)
- What is RPA?
- History of RPA
- Suitable Accounting Processes for RPA
- RPA Tools / Vendors
- UiPath Ecosystem
Hands on with UiPath
- My First Robot: Writing to Notepad
- Interacting with Legacy Software
- Opening a software and interacting with it
- Introduction to Computational Thinking
- Breaking down RPA projects into small steps robots can follow
- Reading Excel Data Conditionally
- Handle repetitive dataset tasks automatically
- Interactive RPA Quiz #1
- Coding Concepts in UiPath
- Variables, Data Types, Conditionals, and Loops
- Artificial Intelligence in RPA
- Extracting Data using Optical Character Recognition (OCR)
- Automate Invoice Processing or Digitisation
Evaluating RPA
- Benefits and Cost Savings
- Challenges and Potential Pitfalls
- Interactive RPA Quiz #2
- Where Are We Today?
- Interactive RPA Quiz #3
Course Recap
| 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
Programme Facilitator(s)
