Advanced Certificate in Deep Learning and Generative AI
- Analytics & Tech
- Artificial Intelligence
This programme is conducted on-campus.
Please refer to respective modules for dates.
Singapore Management University
Who Should Attend
- AI and Machine Learning Engineers looking to build Gen AI applications
- AI Scientists
- Data Analysts
- Software Engineers
- IT Professionals and Team Leads
Participants are required to have a functional laptop with the following specifications:
- CPU: Must be at least Intel Core i3.
- GPU: Must have an integrated graphics card.
- RAM: Must be at least 4GB.
No prior experience is required. Participants are expected to be proficient in computer usage and possess fundamental logical thinking or numeracy skills. A proactive approach to learning through practical exercises is essential.
Overview
Learners work extensively with the Python ecosystem while building a solid understanding of the AI landscape. The curriculum begins with the foundations of neural networks and then advances to applications in computer vision, natural language processing and generative models that power today’s most impactful AI systems.
The programme also demonstrates how Large Language Models and Generative AI can be tailored for practical use, from automating workflows to enhancing digital products and services. Deployment strategies and best practices are introduced to ensure solutions are scalable, secure and enterprise-ready.
By the end of the programme, participants will have both the technical expertise and applied knowledge to develop and deploy AI solutions effectively, making it a strong pathway for engineers, data professionals and technology managers working on digital transformation initiatives.
Learning Objectives
- Build the Foundation for AI: Master core deep learning concepts, essential Python, and mathematical fundamentals for neural networks
- Create Practical AI Solutions: Implement and fine-tune deep learning building blocks like neural networks and backpropagation for classification and prediction
- Develop Intelligent Applications: Apply modern AI to computer vision (CNNs) and natural language processing (RNNs) for complex problem-solving
- Unlock the Power of Generative AI: Understand and implement Generative AI, including LLMs and Stable Diffusion, for content creation and interpretation
- Deploy AI Responsibly: Learn to safely and ethically implement, deploy, and scale AI, including multimodal AI and its safety/ethical considerations
Topic/Structure
To achieve the Advanced Certificate in Deep Learning and Generative AI, participants will need to complete the following modules offered by SMU Academy:
Module 1: Introduction to Deep Learning
Module 2: Deep Learning Building Blocks
Module 3: Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs)
Module 4: Transformers, Large Language Models (LLMs) and Multimodal Learning
Module 5: Deep Learning in Production
Module 6: Lab: Tuning Deep Learning Networks
Assessment
- MCQ
- Written Assignment
CERTIFICATION
Participants are required to attain a minimum of 75% attendance and pass the associated assessment for each of the 6 modules within 3 years in order to be awarded the digital Advanced Certificate in Deep Learning and Generative AI issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| EMPLOYER-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$4,316.40 (After SSG Funding 70%) |
$1,676.40 (After SSG Funding 70% |
$4,316.40 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,676.40 (After SSG Funding 70% |
$1,676.40 (After SSG Funding 70% |
$1,676.40 (After SSG Funding 70% |
|
International Participant |
$14,388 (No Funding) |
$14,388 (No Funding) |
$14,388 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Employer Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
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