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?
Note:
You may consider enrolling for Day 2 course, Robotics Process Automation (DGT047B) of the course upon completion of Day 1
OR opt for a 2-day course that covers both foundation and intermediate levels of Artificial Intelligence, Machine Learning, and Robotic Process Automation (DGT047C).
| Programme | 2024 Dates |
DGT047A: Artificial Intelligence and Machine Learning (Classroom)
(1-DAY)
Level: Foundation | - 15 May 2025
- 10 Nov 2025
Please click here to find out more. |
DGT047B: Robotics Process Automation Learning (Classroom)
(1-DAY)
Level: Intermediate | - 16 May 2025
- 11 Nov 2025
Please click here to find out more. |
DGT047C: Artificial Intelligence and Machine Learning (Classroom)
(2-DAY)
Level: Foundation to Intermediate | - 15 & 16 May 2025
- 10 & 11 Nov 2025
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