Course Information
The Specialist Diploma in Applied Generative AI (SDGAI) programme empowers learners with a specialized skill set that includes data visualization, compelling storytelling, and advanced proficiency in Deep Learning and Generative AI. Throughout this programme, you will discover how to harness the power of Deep Learning to dissect diverse data types, ranging from sentiment analysis for textual content to object recognition in images. Additionally, you will cultivate expertise in Generative AI techniques, enabling them to create fresh data from existing datasets.
Join us on this exciting journey as we delve into the world of Applied Generative AI and equip you with the tools to unlock new possibilities in data analysis and AI-driven creativity. Explore the course details below to get started!
Learning Outcomes
By the end of the programme, you will emerge with a comprehensive skill set that empowers you to excel in the dynamic field of AI and data analysis. Our programme is designed to equip you with the skills including:
Master Deep Learning Techniques: Gain proficiency in advanced Deep Learning concepts, enabling you to analyze and interpret various data types, including text and images.
Expertise in Data Visualization: Acquire the skills to create informative and visually compelling data representations, making complex insights more accessible.
Discover Storytelling: Learn to craft compelling narratives from data, enabling you to effectively communicate your findings to diverse audiences.
Generative AI Proficiency: Develop the capability to generate new data from existing datasets, enhancing your creativity and innovation in AI applications.
Stay Ahead in AI: Stay up-to-date with the latest advancements in the field, ensuring you remain at the forefront of Applied Generative AI.
Join us on this transformative journey and unlock your potential to excel in the world of data science and AI.
Course
Schedule
Course Date: TBC
Application Period: TBC, Register Interest Now for Apr 2025 Intake
Duration: 1 year over 2 semesters
Time: 6.30pm – 10.30pm
Delivery Mode: Classroom, Synchronous eLearning
Venue: Ngee Ann Polytechnic / Online
Ngee Ann Polytechnic reserves the right to reschedule / cancel any programme, modify the fees and amend information without prior notice.
Lesson Plan
Trainer's Profile
Jair Zhou boasts a robust academic foundation, holding a Doctor of Philosophy in Computer Science and Engineering from Nanyang Technological University, Singapore, which he attained in 2017. Before this, he completed a Bachelor of Engineering in Computer Science, also at Nanyang Technological University, achieving Second Upper Class Honours in 2009.
Jair is a seasoned professional specializing in computational intelligence, including areas like reinforcement learning, multi-agent systems, fuzzy systems, deep learning, and generative AI. His research efforts have notably focused on explainable and interpretable machine learning models. During his career as a Research Fellow at the Rolls-Royce NTU Corporate Lab, he developed methods to increase user trust and understanding in AI systems, essential for auditing and regulatory compliance.
Jair's career includes significant roles such as a Research Fellow at Nanyang Technological University, where he managed collaborative projects focused on designing decision-making models for complex systems. His academic contributions include several published papers on topics ranging from reinforcement learning to fuzzy neural networks. He is currently a lecturer at Ngee Ann Polytechnic's School of Infocomm Technology, where he imparts knowledge on Data Exploration, Machine Learning, AI Ethics, Deep Learning, and Generative AI. His work is characterized by a continuous pursuit of learning to maintain the relevance and impact of his teaching. In addition to his PET teaching roles, Jair's has been conducting adult classes for CET learners who are pursuing higher knowledge in the technical field. He conducts lessons in specialist and advanced diploma courses and short courses to boost learner’s skills and knowledge. On-going courses include full qualification Specialist Diploma in applied Generative AI and short course Generative AI for Productivity.
Dr Chia Meng Wah is a Senior Lecturer at Ngee Ann Polytechnic’s School of Infocomm Technology. He graduated with a Bachelor of Electrical Engineering (First Class Honors) and a Ph.D. from the National University of Singapore.
Dr Chia’s primary areas of specialization include wireless signals processing and in applying deep-learning techniques to enhance wireless communication signals. His current industry project focus on integrating deep learning algorithms with edge platforms, where he contributes as a principal investigator and software developer.
Dr Chia has served as a Scientist at the Institute for Infocomm Research (I2R) and as a Principal Engineer at Singapore Technologies (ST) Electronics. He has led machine learning initiatives for radio-frequency signal processing, applying deep learning techniques for signal detection. This work culminated in the successful launch and deployment of a product he designed as both architect and software developer.
At Ngee Ann Polytechnic, Dr Chia teaches modules such as Descriptive Analytics, Data Wrangling, Machine Learning, Deep Learning, Visual Generative AI Applications, and Large Language Model Applications.
Willey Tang is a senior lecturer at Ngee Ann Polytechnic, with over 15 years of experience in tertiary education. He holds a Bachelor of Science in Computer and Information Science from the National University of Singapore, a Master of Business Administration (MBA) from the University of Birmingham, and a Master of IT in Business (Financial Services) from the Singapore Management University.
He is an ACTA certified Adult Educator, Certified ScrumMaster, Tableau Desktop Specialist, Certified ITIL Foundation in IT Service Management and Certified IT Outsourcing Manager.
Willey specialises in teaching software development-related modules, leveraging his extensive academic background and practical experience to inspire and educate the next generation of IT professionals. His professional background includes significant experience as a software developer and project manager, where he has developed and implemented nation-wide enterprise projects. This extensive industry experience allows him to bring real-world insights into the classroom, further enhancing his ability to provide practical and relevant education to his students.
Dr Pamela Loy is a Senior Education Specialist with the School of InfoComm Technology (ICT) at Ngee Ann Polytechnic. She holds a PhD in Education from the University of Western Australia and a Master of Science in Computer Science from the Birkbeck College, University of London. Additionally, she is an ACTA certified Adult Educator of the Institute of Adult Learning, Singapore and has been in education for over 40 years.
Dr Loy’s domain area of expertise is software development, specifically in analysis, design and programming. She is proficient in several programming languages including Java, Python, C, C++ and C#.
Besides teaching, Dr Loy’s focus in ICT is training and learning capability development in curriculum, pedagogy and assessment to support the professional growth of staff.
Certification
Certification
You are required to complete 2 post-diploma certificates within 2-year validity period to be awarded the Specialist Diploma qualification.
Entry Requirements
A recognized local Polytechnic Diploma or Degree in any discipline, or at least one (1) year of relevant work experience.
Graduates from Ngee Ann Polytechnics’s Specialist Diploma for Data Analytics (SDDA), Advanced Diploma in Machine Learning (ADML) or Specialist Diploma in Robotics Engineering (SDRE) are eligible for module exemptions as listed below:
Graduated Course / Module Passed | Exempted Module in SDGAI |
---|---|
SDDA / Programming for Analytics | Programming for Analytics |
SDDA / Data Visualisation & Story Telling | Data Visualisation & Story Telling |
ADML / Deep Learning |
|
SDRE / Robotics with Python | Programming for Analytics |
SDRE / Computer Vision and Deep Learning for Robotics | Deep Learning for Image Recognition |
Exemption from the Data Visualisation & Story Telling module will be granted to learners who have achieved qualifying passes in the Challenge Examination (CEX).
Notebook requirement
Learners need to have your own Windows-based notebooks with the following minimum specifications:
Processor: Intel Core i5 (11 Gen) or equivalent (Intel i7 recommended)
RAM: 16 GB (32 GB recommended)
Storage Device: 512 GB (1TB recommended)
Optical Device: DVD-ROM (optional)
Display: 1280 x 720 display resolution, HDMI port with an adapter to VGA, Dedicated graphics with 4GB graphics, Recommended to have GPU of NVIDIA GeForce GTX 1660 Ti onwards
Communication: Integrated or external IEEE 802.11b or equivalent
Operating System: Windows 10
Course Fees
Funding period for this course is from 15 November 2023 to 31 Dec 2024.
SkillsFuture Credit
All Singaporeans aged 25 and above can use their $500 SkillsFuture Credit from the government to pay for a wide range of approved skills-related courses. Visit the SkillsFuture Credit website to choose from the courses available on the Training Exchange course directory. The credits can be used on top of existing course fee subsidies/funding. This is only applicable for self-sponsored applicants and must be applied via the SkillsFuture Portal. More details on the SkillsFuture Credit Claims will be advised upon admission into the course.
Union Training Assistance Programme (UTAP)
NTUC members enjoy 50% unfunded course fee support for up to $250 each year (or up to $500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.
Skills-Based Modular Courses (SBMCs) are bite-sized part-time courses for individuals to acquire new skills or deepen relevant skills, without the need to pursue a full diploma. Refer here for course fees for SBMCs.
GST Increment in 2024
Please note that the GST rate will be revised to 9% with effect from 1 Jan 2024, as such any payable course fees will be subjected to the new GST rate adjustments in 2024. Please refer to our STEP portal for the updated fees. (Click on STEP)
Note:
- Please refer to our FAQs for more information.
- The fees below are determined based on prevailing funding policies and subject to review and revision.
Ngee Ann Polytechnic reserves the right to reschedule/cancel any programme, modify the fees and amend information without prior notice.
Applicants / Eligibility | Fees |
---|---|
Full Course fee | $8371.20 |
PR Sponsored by SME | $871.68 |
Singapore Citizen Sponsored by SME | $871.68 |
Singapore Citizen Aged 40 & Above | $871.68 |
Singapore Citizen Aged Below 40 | $1255.68 |
Singapore PR | $3347.48 |
Long-Term Visit Pass Plus | $8371.20 |