Overview
This programme is delivered by Republic Polytechnic and jointly developed by Republic Polytechnic and GovTech’s Data Science & AI Division (DSAID).
For many, learning to code has always been the first and biggest obstacle into the world of computer science. Many people run into the hurdle of writing a simple line of code, much less developing a useful artificial intelligence (AI) programme that can help them predict their customers’ preferences and recommend a suitable product that meets their needs.
With the recent advancements in AI and machine learning, the world is entering into a code-free era where you can create your own programme without writing a single line of code! Using a variety of code-free machines, you can teach machines to learn and apply helpful knowledge to solve everyday problems on their own. These code-free machines often come in guided platforms, offering classic drag-and-drop functionality to fully automated machine learning services suitable for beginners and Machine Learning professionals.
In this one-day hands-on workshop, you will learn to create many excellent programmes ranging from training an object detector to building a topic predictor with no code at all. Plus, there will be opportunities to try out out DSAID’s code-free AI products such as the Video Analytics System, GovText and Transcribe.
Key Takeaways
At the end of this programme, you will gain a deeper understanding and practical knowledge on the following topics:
- Provide an overview of Machine Learning
- Present Machine Learning workflow
- Solve a regression problem
- Train an Object Detector
- Perform topic modelling
- Transcribe an audio file to text
- Identify and apply AI at work
Who Should Attend
- Please refer to the job roles section.
- Designed for Public Service Officers with a keen interest in making full use of data to make useful predictions.
Prerequisites
You should be IT-savvy and comfortable with performing basic software setup and configuration. Although no prior knowledge in AI is required, you should have a basic understanding and appreciation of AI.
Programme Structure
This programme is delivered face-to-face and will cover the following topics:
- Part 1: Machine Learning
- Articulate the fundamentals of Machine Learning
- Describe the Machine Learning workflow
- Hands-on activity to solve a regression problem on a cloud platform
- Part 2: Computer Vision
- Articulate the fundamentals of Computer Vision
- Describe the purpose and process of Transfer Learning
- Hands-on activity to perform object detection on GovTech’s Video Analytics System
- Part 3: Natural Language Processing
- Articulate the fundamentals of Natural Language Processing
- Hands-on activity to perform topic modelling on GovTech’s GovText platform
- Hands-on activity to perform speech-to-text on GovTech’s Transcribe platform
- Part 4: Code-free AI development
- Case study AI applications from use cases in Government
- Propose use cases from work where AI is applicable
Fees
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Full Fee
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Full programme fee
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S$270
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8% GST on nett programme fee
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S$21.60
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Total nett programme fee payable, including GST |
S$291.60 |
With effect from 1 Jan 2023 till 31 Dec 2023
NOTE
Funding is available for this programme. Please visit the
learning partner’s website to find out about the updated programme fee funding breakdown, eligibility, terms and conditions.
Upcoming Classes
Class 1
08 Dec 2023 to 08 Dec 2023 (Full Time)
Duration: 1 day
When:
Dec - 08
Time : 9.00am - 5.00pm
Class 2
23 Feb 2024 to 23 Feb 2024 (Full Time)
Duration: 1 day
When:
Feb - 23
Time : 9.00am - 5.00pm
How To Register
Step 1
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Apply through your organisation's training request system. |
Step 2
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Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the programme.Your organisation will send registration information to the academy.
Organisation HR L&D or or equivalent staff can register directly through the learning partner's registration portal.
Click here to register.
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Step 3
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The learning partner will inform you whether you have been successful in enrolment.
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