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5-Day AI Bootcamp

  • Analytics & Tech
  • Artificial Intelligence
  • Innovation & Business Improvement
Next Intake: 18 Aug 2025 (Mon)
  • Intermediate
  • SkillsFuture
  • Short Courses

This module is conducted online.

Next course starts on
18 Aug 2025 (Mon) See Full Schedule
Fee
SGD5,450* (as low as SGD635 after maximum funding) Learn More
Duration

5 Full Days (Weekdays)

Level
Intermediate

Who Should Attend

Professionals who are keen to learn applied deep learning techniques


PREREQUISITES

  • At least one year of experience in Python
  • Familiarity with notions of Linear Algebra including Matrix Multiplication
  • Prior knowledge of Numpy, Matplotlib, and Pandas is strongly advised

Overview

Many businesses are starting to recognise the significant benefits and the potential competitive edge they can gain from using AI. There's a growing interest from every industry about exploring the possibilities.

AI is a wide-ranging tool that enables people to rethink how we integrate information, analyse data, and use the resulting insights to improve decision making - and already it is transforming every walk of life. 

AI is going to change the future. Make sure that you aren't left behind.

Drawing on knowledge from industry experts, this immersive, 5-day hands-on bootcamp will enable participants to gain an understanding of the fundamentals of AI and machine learning and walk away prepared to implement what they have learnt, ensuring their organisation is maximising the value of its live and historic data.

Programme Partner

WeCloudData - with the operating name Toronto Institute of Data Science and Technology accredited by the Ontario government - is the leading data and AI training company in Canada. It specialises in training in the areas of data science, data engineering, AI, cloud computing, and data analytics. Over the past five years, WeCloudData has provided data training to about two thousand students and helped hundreds of professionals or new graduates successfully land their first job in the data science and engineering fields. Ranked as the best data science bootcamp provider in Canada in 2019, WeCloudData also provides customised data science and AI training to Canadian companies. Its corporate clients include the largest Canadian banks CIBC and TD, the largest telecommunication company Bell Canada, and the biggest retailer in Canada Canadian Tire, and many start-ups.

Learning Objectives

  • Be guided through a well-organised curriculum, covering from the fundamentals in Machine Learning to the most advanced Deep Learning content in a coherent and complete journey 
  • Learn how to confidently train, evaluate, and deploy neural networks in a variety of real-world scenarios

Topic/Structure

 

days

TOPICS

day 1
  • Review of classical Machine Learning
  • Different types of features and observations
  • How to build machine learning models for different types of features and observations
  • Supervised learning from linear models to support vector machines
  • Regularisation
  • Ensemble learning (Decision trees; Random forest; Adaboost; Gradient boosting)
  • Clustering (Hierarchical clustering; k-means, Affinity Propagation; DBSCAN)
  • Dimensionality reduction (PCA; t-SNE; UMAP)
  • Visualisation and reporting in machine learning setting
  • Hands-on practice on the subjects
day 2
  • Introduction to deep learning
  • Theoretical aspects of neural network modelling
  • Effect of hyperparameters on performance of neural network models
  • Hardware landscape (CPU; GPU; TPU)
  • Hands-on practice on deep learning
day 3
  • Convolutional neural network from concept to modelling
  • Transfer Learning and Filtered Transfer Learning
  • Introduction to active learning
  • Hands-on practice on convolutional neural network, transfer learning and active learning
day 4
  • Introduction to natural language processing (NLP)
  • Graph neural network from concept to modelling
  • Hands-on practice on graph neural networks and NLP
day 5
  • Milestone project
    • Helping course participants to work on a machine learning project and understand how to select an appropriate method and an optimal set of hyperparameters

Assessment

As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.

Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.

Calculate Programme Fee

Click here for more infomation about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

COMPANY-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$1,635

(After SSG Funding 70%)

$635

(After SSG Funding 70%
+ ETSS Funding 20%)

$1,635

(After SSG Funding 70%)

Singapore Citizen ≥ 40 years old

$635

(After SSG Funding 70%
+ MCES Funding 20%)

$635

(After SSG Funding 70%
+ ETSS Funding 20%)

$635

(After SSG Funding 70%
+ MCES Funding 20%)

International Participant

$5,450

(No Funding)

$5,450

(No Funding)

$5,450

(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 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

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)

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Trainers

Waqas Ahmed
AI Trainer and Consultant
WeCloudData
Waqas Ahmed
AI Trainer and Consultant
WeCloudData

Waqas Ahmed is a distinguished Data Scientist and AI Engineer with a robust blend of deep academic knowledge and proven industry success. Holding three master’s degrees in Artificial Intelligence, Computer Science, and Mining Engineering, he expertly turns theory into practice, drawing on nearly five years of hands-on experience in research, development, and training to deliver innovative AI solutions that drive measurable business impact and multimillion-dollar savings. As a dedicated educator and trainer at WeCloudData, he translates complex insights into actionable strategies, and with multiple peer-reviewed publications and over 50 specialized certifications, he remains committed to transforming cutting-edge AI innovations into lasting real-world results. His expertise spans the entire AI pipeline, from designing sophisticated machine learning models to managing large-scale data ingestion and implementing seamless MLOps workflows, continuously inspiring innovation and excellence in the field.

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