Key Takeaways
At the end of the course, the participants will be able to:
- Identify appropriate business scenarios requiring systems that extend human expertise and/or cognition
- Gain a practical understanding of the concepts and techniques that enable systems to mimic human reasoning, and/or interact with human naturally
- Create suitable design using common architectures of such applications after analysis of business requirements
- Develop/integrate and evaluate such systems using existing libraries
Who Should Attend
This is an intermediate course, suitable for professionals with several years of system building experience, with an interest or requirement to understand and implement cognitive systems which need to interact naturally with users.
It is applicable for professionals engaged in the following areas:
- Developers of intelligent systems
- AI engineers or specialist
- Project managers of intelligent systems
- Solution architects for intelligent systems
Prerequisites
Participants must have strong programming skills using Python. Participants should have taken the course Machine Reasoning to benefit more from the course.
What to Bring
No printed copies of course materials are issued.
Participants must bring their internet-enabled laptops with power charger to access and download course materials.
Please see below for the laptop tech specs:
|
|
Minimum
|
Recommended
|
|
Computer and processor
|
1.6 GHz or faster, 2-core Intel Core i3 or equivalent, e.g. Apple (Intel) year 2012 model and newer
|
Intel Core i7 or equivalent, e.g. Apple (Intel/M1/M2 chip) new models
|
|
Memory
|
4 GB RAM |
16 GB RAM
|
|
Hard Disk
|
256 GB disk size
|
1 TB disk size
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|
Display
|
800 x 600 screen resolution
|
1280 x 768 screen resolution
|
|
Graphics
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Graphics hardware acceleration requires DirectX 9 or later, with WDDM 2.0 or higher for Windows 10 (or WDDM 1.3 or higher for Windows 10 Fall Creators Update).
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DirectX 10 graphics card for graphics hardware acceleration
|
|
Others
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An internet connection – broadband wired or wireless
Speakers and a microphone – built-in or USB plug-in or wireless Bluetooth
A webcam or HD webcam - built-in or USB plug-in |
|
What Will Be Covered
This course will cover:
- Introduction of Cognitive Systems
- Cognitive Knowledge Representation and Reasoning
- Cognitive System Case-Study
- Natural Language Comprehension and Processing
- Speech Recognition Systems
- Vision Cognition Systems
- Workshops
Fees & Subsidies
SkillsFuture Singapore (SSG) Funding 2024
| |
Full Course Fees |
Singapore Citizens & PRs aged 21 years and above
(70% funding support) |
Singapore Citizens aged 40 years and above
(90% funding support) |
Enhanced Training Support for SMEs (ETSS)
(90% funding support)
|
| Full course fee |
S$2850 |
S$2850 |
S$2850 |
S$2850 |
| SSG Funding |
- |
S$1995 |
S$1995 |
S$1995 |
| Nett course fee |
S$2850 |
S$855 |
S$855 |
S$855 |
| 9% GST on nett course fee |
S$256.50 |
S$76.95 |
S$76.95 |
S$76.95 |
| Additional Funding if eligible under various schemes |
- |
- |
S$570 |
S$570 |
| Total nett course fee payable, including GST |
S$3106.50 |
S$931.95 |
S$361.95 |
S$361.95 |
Note:
1. SSG Funding is available to qualified individuals, subject to meeting the attendance requirement and passing of assessment.
2. All self-sponsored Singaporeans aged 25 and above can use their SkillsFuture Credit to pay for course fees. For more information about SkillsFuture Credit, click here.
3. SME fees are applicable only to participants who are sponsored by small and medium enterprises.
4. SSG Funding is valid up to 30 June 2024.
Certificate
Certificate of Completion
Participants have to meet a minimum attendance rate of 75% and are required to pass the assessment to be issued a Certificate of Completion.
Preparing for Your Course
NUS-ISS Course Registration Terms and Conditions
Find out more.
NUS-ISS and Learner’s Commitment and Responsibilities
Find out more.
WIFI Access
WIFI access will be made available to participants.
Venue
NUS-ISS
25 Heng Mui Keng Terrace
Singapore 119615
Click HERE for directions to NUS-ISS
In the event of a change of venue, participants are advised to refer to the acceptance email sent one week prior to the commencement date.
Course Confirmation
All classes are subject to confirmation and NUS-ISS will send an acceptance email to participants one week prior to the commencement date. Confirmed registrants are to attend and complete all lectures, class exercises, workshops and assessments (where applicable). Additionally, all responses to feedbacks and surveys conducted by NUS-ISS and its partners must be submitted. All training and assessments will be delivered as described in the course webpage.
General Enquiry
Please feel free to write to ask-iss@nus.edu.sg if you have any enquiry or feedback.