5-Day AI Bootcamp
- Analytics & Tech
- Artificial Intelligence
- Innovation & Business Improvement
This module is conducted online.
5 Full Days (Weekdays)
Who Should Attend
Professionals who are keen to learn applied deep learning techniques
PREREQUISITES
- Python programming
- Data manipulation skills with Python libraries such as Pandas and Numpy
- Basic understanding of machine learning algorithms and use cases
- Learners without machine learning knowledge need to be confident in using GenAI tools to assist with coding
Overview
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.
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
- Day 1: Machine Learning Review
- Supervised Machine Learning (Classification and Regression)
- Evaluation Metric for both classification and regression
- Feature Preprocessing & Feature Engineering techniques
- Hyper-parameter tuning techniques
- Underfitting VS Overfitting
- Image Classification using Scikit-Learn (Sklearn)
- Day 2: Deep Learning for Computer Vision
- Introduction to Neural Networks
- Introduction to Convolutional Neural Networks
- Introduction to PyTorch
- Building and Training Neural Networks using PyTorch
- Image Classification using CNN.
- Day 3: Introduction to Large Language Models
- Introduction to Large Language Models
- Introduction to Transformer Architecture and Transfer Learning
- Applying LLMs for common natural language problems
- Fine-tune large language models for domain adaptation
- Day 4: Generative AI Applications
- Building Chatbot with LangChain and OpenAI/Gemini
- Introduction to RAG
- Introduction to Vector Databases
- Building a document QA bot with LLM and RAG
- Day 5
- Milestone project
- Helping the attendees work on Image/Language Classification OR RAG chatbot project and understand how to select an appropriate method and an optimal set of hyperparameters
- Milestone project
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
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% |
$1,635 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$635 (After SSG Funding 70% |
$635 (After SSG Funding 70% |
$635 (After SSG Funding 70% |
|
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.
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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