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.
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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.
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Last updated: 12 April 2024