Highlights
Tuition fee
5450 SGD / full
1635 SGD / full
Unknown
Tuition fee
5450 SGD / full
1635 SGD / full
Unknown
Duration
5 days
Duration
5 days
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Unknown
Start date
Unknown
Unknown
Campus location
Singapore, Singapore
Campus location
Singapore, Singapore
Taught in
English
Taught in
English

About

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. This AI Bootcamp is offered at Singapore Management University.

Overview

About the course

  • 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, hands-on AI Bootcamp at Singapore Management University 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 Structure

Topics include:

  • 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

Key information

Duration

  • Full-time
    • 5 days

Start dates & application deadlines

We did our best, but couldn't find the next application deadline and start date information online.

Language

English

Delivered

On Campus

Campus Location

  • Singapore, Singapore

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

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

Student Insurance via Studyportals Partner

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.

Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Singapore Management University and/or in Singapore, please visit Student Insurance Portal.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    5450 SGD / full
    5450 SGD / full
  • Domestic

    Citizens or residents
    1635 SGD / full
    1635 SGD / full

Additional Details

  • Singapore Citizen ≥ 40 years old: $635

Living costs

Singapore

Singapore
1878 - 3880 SGD / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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