Overview
Duration |
1 day |
Course Time |
9.00am - 5.00pm |
Enquiry |
Click here to contact us
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This course 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 course, the participants 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
This course is designed for anyone with a keen interest in making full use of data to make useful predictions.
Prerequisites
Participants should be IT-savvy and comfortable with performing basic software setup and configuration. Although no prior knowledge in AI is required, participants should have a basic understanding and appreciation of AI.
ICT and SS Competency Framework
ICT and SS Competency Framework
As part of the ICTCF, this course falls under the Data Science & AI functional clusters and tagged to the following competencies:
The course is mapped to the following job roles:
- Computational Scientist
- AI Engineer
Course Structure
This course 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
Instructors
Fees and Funding
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Full Fee
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Full course fee
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S$270
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7% GST on nett course fee
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S$18.90
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Total nett course fee payable, including GST |
S$288.90 |
With effect till 31 Dec 2022
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Full Fee
|
Full course fee
|
S$270
|
8% GST on nett course fee
|
S$21.60
|
Total nett course fee payable, including GST |
S$291.60 |
With effect from 1 Jan 2023 till 31 Dec 2023
NOTE: Funding is available for this course. Please visit the training provider’s website to find out about the updated course fee funding breakdown, eligibility, terms and conditions.
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 course.
Your organisation will send registration information to the academy.
Organisation HR L&D or equivalent staff can click here for details of the registration submission process.
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Step 3
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The Digital Academy will inform you whether you have been successful in enrolment.
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