Professional Certificate in Machine Learning (Python)
- Analytics & Tech
- Artificial Intelligence
- Innovation & Business Improvement
This programme is conducted online.
Please refer to respective modules for dates.
Weeknights (7pm - 10.30pm)
Saturdays (9am - 6pm)
Who Should Attend
- Data science professionals
- Professionals interested in data science programming, machine learning and artificial intelligence
- Managers looking into costs and performance hurdles in predictive modelling
PREREQUISITES
- Diploma with at least 3 years of working experience and/ or start-up experience
- Basic programming knowledge is recommended to enrol for this programme
SYSTEM REQUIREMENTS
- Functional Laptop: (1) CPU must be of at least intel core I3, (2) GPU must have an integrated graphics card and (3) RAM must be of at least 4GB
Overview
Through this course, graduates will develop the relevant skillsets to build data-driven Machine Learning/ AI applications and cognitive products using Python, which is becoming one of the world's most popular programming languages used by world-class organisations across different industries such as Google, IBM, Facebook, Tesla, Fiat, Bank of America, J.P Morgan, amongst others.
Learning Objectives
- Build hands-on proficiency in Python programming
- Learn to wrangle data with Python
- Apply common statistical data analysis techniques and modelling using Python
- Apply data visualisation techniques using Python
- Develop machine learning models encompassing supervised and unsupervised learning using Python
- Apply them to real world problems in a capstone project
Topic/Structure
To achieve the Professional Certificate in Machine Learning (Python), participants need to complete the following modules offered by SMU Academy:
Introduction to Python Programming
Statistical Thinking and Exploratory Data Analysis
Basic Concepts in Data Modelling
Advanced Concepts in Data Modelling
Practical Concepts in Supervised Machine Learning
Practical Concepts in Unsupervised Machine Learning
This course is also a part of the Advanced Diploma in Data Analytics and Machine Learning and Advanced Diploma in Python Programming and Machine Learning.
Assessment
- Classroom exercises
- Group assignments
- Individual assignment
CERTIFICATION
Upon completion of all 6 modules within a maximum duration of 3 years, participants will be awarded a digital Professional Certificate in Machine Learning (Python).
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$3,139.20 (After SSG Funding 70%) |
$1,219.20 (After SSG Funding 70% |
$3,139.20 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
$1,219.20 (After SSG Funding 70% |
|
International Participant |
$10,464 (No Funding) |
$10,464 (No Funding) |
$10,464 (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.
Company 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 will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies 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)
Intake Information
| Modules | Intake 24 |
|---|---|
| Introduction to Python Programming | 11, 12 & 15 Feb 2025 [Open for Registration] |
| Statistical Thinking and Exploratory Analysis | 4, 5 & 8 March 2025 [Open for Registration] |
| Basic Concepts of Data Modelling | 25, 26 & 29 March 2025 [Open for Registration] |
| Advanced Concepts of Data Modelling | 15, 16 & 19 Apr 2025 [Open for Registration] |
| Practical Concepts in Supervised Machine Learning | 6, 7 & 10 May 2025 [Open for Registration] |
| Practical Concepts in Unsupervised Machine Learning | 27, 28 & 31 May 2025 [Open for Registration] |
