Executive Courses
Upskilling Your Workforce through TDSI’s Executive Courses
TDSI’s Executive Courses under its Continuing Education arm look at domain-specific disciplines in systems thinking and systems engineering, as well as any in-trend/ emerging technologies, to upskill the Singapore defence workforce in line with the nation’s advocacy for lifelong learning. Embracing the digital transformation landscape today, participants will benefit from these courses, learning from subject matter experts from the defence technology community and/or academic institutions, on valuable topical knowledge and skillsets to manage real-world applications. This allows course participants to strengthen their capabilities and value-add to their employing organisations.
TDSI’s Executive Course “Military Navigation Systems Workshop” for Singapore’s Defence Technology Sector
Given the critical importance of navigation in modern military systems and operations that leverages on smart technologies, access to reliable navigation data is imperative while denying them to adversaries during military operations. The executive course on “Military Navigation Systems Workshop” aims to highlight the vulnerabilities in military navigation systems under different deployment scenarios, and share potential corresponding counter-measures. Participants from the defence technology community were appreciative of the knowledge gained from the workshop and acknowledged that the learning was highly relevant and impactful to their current field jobs/ projects. This workshop is well-recognised by the Professional Engineers Board and qualified for 6 Professional Development Units.
TDSI’s Executive Course “Systems Engineering and Analysis of Emerging Advanced Technologies for Defence Applications”
It is important for the Singapore defence forces to be at the frontier and be knowledgeable about emerging technologies for defence applications. The executive course on “Systems Engineering and Analysis of Emerging Advanced Technologies for Defence Applications” aims to present concepts and methods for engineering and analysing emerging advanced technologies, that include artificial intelligence and directed energy weapons, for defence applications. Course participants from the defence technology community have learnt and gained insights from the course that introduced concepts in complexity theory, strategic thinking, technology assessment, systems engineering and systems analysis. Course participants were appreciative that the learning gained have value-added to their current work with their primary affiliated organisations in the defence eco-system.
TDSI’s Executive Course “Generative Artificial Intelligence”
Artificial Intelligence (AI) technologies have been widely adopted in operations and work processes/ systems at the national level and in various industries. Generative AI is the latest cutting-edge technology that has been launched to extreme popularity, with progressive adoption by enterprises and industries because of its capabilities that can boost productivity and value-add decision-making, alongside many other deployment opportunities. Recognising the increasing importance of Generative AI for the defence sector, TDSI organised the executive course on this in-trend technology for the Singapore defence technology community to equip them with the fundamental knowledge of key concepts and applications of Generative AI, included algorithms such as generative adversarial networks (GANs) and variational autoencoders (VAEs). Course participants learnt how Generative AI could enhance military operations, from synthetic training data generation to scenario planning and decision support systems. This course is well-recognised by the Professional Engineers Board and qualified for 12 Professional Development Units.
Generative Artificial Intelligence and
Its Applications
Overview
This course provides participants with a practical introduction to generative AI (GAI) and its rapidly expanding applications. Participants will explore the fundamentals of generative models, including generative adversarial networks (GANs), variational autoencoders (VAEs), diffusion models, and transformer-based systems like GPT. Through industry case studies and hands-on activities, the course highlights how generative AI is transforming sectors such as marketing, healthcare, design, and finance. Participants will gain experience with popular AI tools for text, image, and video generation, while also addressing ethical, legal, and governance considerations. The course equips participants to identify, evaluate, and design AI-driven solutions for their organizations.
Learning Outcome
1) Understand the Core Concepts of Generative AI
– Define Generative AI and differentiate it from predictive and discriminative AI models.
– Recognize key model families: GANs, VAEs, Diffusion models, and Transformer-based models.
(2) Explore Major Real-World Applications Across Industries
– Identify how Generative AI is used in content creation, customer service, design, healthcare, finance, enterprise operations, and military applications.
– Evaluate success stories and cautionary tales of AI applications in business and military contexts.
(3) Develop Practical Skills in Using Generative AI Tools
– Gain hands-on experience with popular AI content generation tools for text, images, audio, video, and code.
– Learn prompt engineering strategies for effective AI-generated content.
(4) Design AI-Driven Solutions to Business Problems
– Map business challenges to potential Generative AI applications.
– Ideate and plan simple AI-driven workflows or services.
(5) Understand Ethical, Regulatory, and Societal Considerations
– Identify risks like deepfakes, bias, IP infringement, and AI misuse.
– Learn about AI governance, data privacy norms, and responsible AI frameworks.
(6) Anticipate Emerging Trends in Generative AI Applications
– Stay informed about upcoming AI capabilities: AI agents, multimodal models, AI video production, and custom GPTs.
– Forecast how these trends will reshape businesses and the future of work.
– Concept overview on the fast-emerging Agentic AI.
Trainer Bio
Dr Amirhassan Monajemi
Senior Lecturer, School of Computing
National University of Singapore
Dr Amirhassan Monajemi is a Senior Lecturer at the School of Computing, National University of Singapore (NUS). Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in 1968 in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University, both in Iran, respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications. He has taught artificial intelligence courses, including AI, Machine Learning, Computer Vision, Expert Systems, and Neural Networks and Deep Learning since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied, E-Learning and E-Learning for workplaces since 2007.
Dr. Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power-consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed journals and international conferences and supervised several Data Science, IoT, and AI industrial projects on various scales, including Isfahan intelligent traffic system delivery and testing and red-light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.
Details
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30 Oct 2025 - 31 Oct 2025
- 2 days
- By Invitation Only