Self-Learning Systems

NUS-ISS

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Objectives

- Identify the requirements for self-learning systems in various industrial applications- Understand the fundamentals of reinforcement learning and evolutionary learning techniques- Design and develop self-learning systems using reinforcement learning and evolutionary learning techniques- Assess the system performance and suggest possible improvements



Who Should Attend

- IT professionals who need to use reinforcement learning and evolutionary learning techniques to develop self-learning intelligent systems.- IT professionals who need to assess and compare reinforcement learning and evolutionary learning techniques.- Domain specialists planning to undertake self-learning systems development projects.




Entry Requirements

- Basic programming skills in Python.- Foundational knowledge in machine learning is strongly recommended.




Class Schedule

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Tutorial Schedule

NA




Lesson Delivery

NA




Full Fees (before GST)

S$3600.00




Nett Fees payable after SSG Funding



2880


*** Please note that the mode of delivery is subject to change in light of the COVID-19 situation. Courses marked ‘online’ may have compulsory face-to-face sessions such as laboratory or hands-on components and details should be sought from the schools or departments before learners register for them.

Upcoming Course Dates
TBC

Delivery Mode**
Face-to-Face

Course Code
SLS-NF

Funding Type
SSG Funding
Eligible for SkillsFuture Credit (SFC)
Alumni eVoucher (L3)
Alumni eVoucher (R&G)

Type
Short Course

Stacks/ Bundles to
NA

Audit/Graded
Graded

Area of Interest
AI & Machine Learning