Expand your career growth and accelerate your digital readiness with these Blended Learning programmes by NUS-ISS – designed to equip you with industry critical skills in the realm of Artificial Intelligence (AI). Taught by our instructors with deep industry experience, some of these short courses are stackable to a graduate diploma.

Reinforce your understanding of AI concepts and apply your digital skills effectively to real-world cases at work. Email us at iss-blendedlearning@nus.edu.sg or visit our website to learn how we can help advance your career development.

Dates: 17 Oct 2022
Course Duration: 10 Weeks
Live Sessions: 7
Learner's Time Commitment: 6 - 7 hours

• Gain insights on fundamental machine learning concepts, algorithms, and techniques to discover and analyse patterns for actionable insights
• Learn to use common software tools and libraries found in Machine Learning projects
• Build Image Classifier to classify images; learners have the flexibility to use their own dataset to train their models

Dates: 1 Nov 2022, 6 Jan 2023
Course Duration: 5 Weeks
Live Sessions: 4
Learner's Time Commitment: 3 - 4 hours

• Model an applied problem as a patter recognition task and identify suitable pattern recognition techniques
• Apply deep learnings of advanced pattern recognition to solve real world problems
• Develop patter recognition systems using case studies and workshops that are based on industry scenarios (e.g. building a robust diagnostic system for diabetes, detecting defects inside a tunnel)

Dates: 25 Nov 2022, 20 Jan 2023
Course Duration: 8 Weeks
Live Sessions: 3
Learner's Time Commitment: 3 - 4 hours

• A unique course syllabus from understanding of human intelligence to using machine intelligence and reasoning to identify needs of machine reasoning technology for decision automation, e.g. developing a project workbook for each individual learner by applying AI Application Framework to decompose and model domain problems using suitable AI techniques
• Create software modules with algorithms using modern open-source toolkits (e.g. build a knowledge based industrial soft-bot prototype using bespoke FAQs supplied by individual learners or using automated knowledge discovery and data mining techniques)
• Gain exclusive access to past projects previews, source code repository and deep know-how delivered by our alumni

Dates: 15 Nov 2022
Course Duration: 6 Weeks
Live Sessions: 3
Learner's Time Commitment: 3 - 4 hours

• Discover the good, the bad and the ugly of the nexus of AI and cybersecurity — learn how to deploy AI in cybersecurity to improve security posture and stay ahead of threats, gain insights on AI-specific cybersecurity risks and identify vulnerabilities in systems and how to mitigate them, and understand the malicious AI-aided attack techniques and their appropriate mitigations
• Unique pedagogical approach that allows participants to optimize the AI and cybersecurity strategies and policies for their organizations
• Opportunity to develop a project workbook that can be applied to current or future real-life projects to drive cybersecurity policy and governance of AI systems in your organisation.

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