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
Singapore Polytechnic.
There has been renewed interest learning in artificial intelligence (AI) and machine learning in recent years. This is fuelled by the recognition that data generated contains a wealth of information that could be distilled from it. This course helps to provide an introduction to the fundamentals of AI and machine learning and how it could impact your work. The course also imparts practical skills on how to apply machine learning without requiring coding.
Key Takeaways
This course aims to introduce artificial intelligence (AI) and machine learning (ML). The course focuses on learning how to apply AI and ML to solve real-life problems. Through practical sessions, participants will experience the setting up and use of a simple machine learning tools that do not require coding.
At the end of this course, the participants will be able to:
- Distinguish AI from machine learning, and deep learning
- List some AI use cases
- Compare supervised with unsupervised machine learning
- Frame a business problem to be solved using AI and Machine Learning
- Build a working machine learning model using low-code/no-code AI tools
Who Should Attend
This course is targeted at professionals who wish to experience setting up a simple AI and machine learning system to solve real-life problems.
Prerequisites
Basic experience and knowledge in networking, system administration and understand security concepts.
ICT and SS Competency Framework
ICT and SS Competency Framework
As part of the ICTCF, this course falls under the Data Science & AI functional cluster and tagged to the following competencies:
- Data Science & AI: Machine Learning
The course is mapped to the following job roles:
- Computational Scientist
- AI Engineer
Course Structure
This course is deliver via virtual instructor led mode and will cover the following topics:
- Introduction to Artificial Intelligence and Machine Learning
- Use cases for Artificial and Machine Learning
- Online/cloud-based machine learning tools
- Supervised learning applications
- Unsupervised learning applications
Instructors
Fees and Funding
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Full Fee
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Full course fee
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S$320
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7% GST on nett course fee
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S$22.40
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| Total nett course fee payable, including GST |
S$342.40 |
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
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Step 1
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Apply through your organisation's training request system. |
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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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