AI Nanodegree
DA Nanodegree

Machine Learning Course In Singapore

Applied Machine Learning

Improve your data wrangling and visualisation skills, and learn cutting-edge Machine Learning techniques

IBF, SkillsFuture and UTAP subsidies available Build predictive AI models to optimise business decisions Only familiarity with Python is required, no other background knowledge is assumed

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Companies our instructors come from 👩🏻‍🏫

Why Choose a Machine Learning Course

AI200 teaches practical skills to apply Machine Learning algorithms across various industries to solve complex problems, automate processes, and provide personalised recommendations.

This online course is an excellent choice for individuals interested in technology, data analysis, and problem-solving. You will gain practical skills, work on real-world projects, contribute to innovation in the field, and open up many career opportunities.

AI200 is the result of a unique blend of beginner friendliness and industry relevance – a signature characteristic of all Heicoders Academy courses. Learn applied Machine Learning with Heicoders Academy today to future-proof your career.

Roles That Require Applied Machine Learning

Software Engineer
Business Analyst
Data Scientist
Machine Learning Engineer
Business Intelligence Analyst
Supply Chain Specialist
Market Analyst
Product Manager
Project Manager
Data Journalist
Academic Researcher
Quantitative Researcher
Financial Analyst
Data Analyst

Data Analyst

















This Machine Learning Course is Suitable for:

  • Individuals comfortable with coding in Python (covered in AI100)
  • Individuals looking to apply Machine Learning in their jobs

Machine Learning Certifications Available:

AI Nanodegree

Machine Learning is crucial for an AI engineer because it equips them with the skills to design and implement AI systems that can learn and make predictions, which are essential for developing advanced AI applications

DA Nanodegree

Machine Learning enhances a Data Analyst's ability to interpret and understand data, enabling the development of algorithms and models that can make accurate predictions based on historical data

Other Applications of Machine Learning

Understanding applied Machine Learning can help you comprehend how decisions are made by algorithms, be aware of the social, societal, and ethical implications of machine learning, and engage with these tools effectively.

Sign up for AI200 today to learn how machine learning can help you be more productive, or contact us so we can help you decide if this is the right course for you.

Machine Learning Course Overview

Heicoders Academy’s AI200 Applied Machine Learning course in Singapore aims to equip you with a strong foundation in data wrangling and cutting-edge Machine Learning techniques. These skills are identified by our Academic Board as a core competency for any AI engineer, data analyst and data scientist.

You will complete the course with an exciting capstone project that addresses a given real-world prediction problem. This project will also serve as a valuable portfolio piece for you to showcase in future job applications.


8 lessons


3-Hour Lesson Duration


Held on Zoom


1 Instructor


1-2 Teaching Assistants

Part of:

AI Nanodegree
DA Nanodegree

Learning Objectives

The curriculum and teaching methods in this online course are designed to help students:


  1. Establish a Foundation in Machine Learning Concepts: Students will gain a thorough understanding of fundamental applied Machine Learning principles, preparing them for advanced study and application.
  2. Gain Practical Skills in Data Analysis: The course focuses on practical data analysis techniques using Machine Learning, enabling students to handle real-world data sets effectively.
  3. Apply Machine Learning to Their Line of Work: Learners will explore how Machine Learning can be applied across different sectors, enhancing their versatility and employability.
  4. Development of Critical Thinking for Problem Solving: Emphasis is placed on cultivating critical thinking skills, crucial for creatively addressing complex challenges with Machine Learning solutions.

Course Outline

Pre-Class Preparation

All Heicoders students will have access to course materials via our online e-learning portal.

To prepare for the course, essential resources are provided to familiarise you with the prerequisite concepts and tools used during the course.

Our friendly instructor and teaching assistants are always ready to assist if you encounter any issues. You are also welcome to join our Telegram channel to leverage connections with fellow students, alumni, instructors and tech hiring managers.

Lesson 1: Data Transformation and EDA with Pandas
  • Use pandas to perform data ingestion, data merging & transformation, data cleaning and exploratory data analysis
Lesson 2: Advanced Graphical Visualisation
  • Explore the use cases and implementation of advanced python visualisation libraries for feature exploration
  • Implement beautiful and detail-rich visualisation dashboards that are reactive to user interactions
Lesson 3: Supervised Learning with Regression
  • Understand the overview of key machine learning concepts such as: supervised learning, unsupervised learning, reinforcement learning, regression, classification and clustering
  • Dive into the intuition behind regression models and their use cases
  • Evaluate performance of regression models with cross-validation
Lesson 4: Supervised Learning with Classification
  • Gain the intuition behind and build various Machine Learning classifiers such as Logistic Regression and Decision Trees
  • Apply a range of commonly-used performance evaluation metrics to classification models
  • Identify the difference between single- and multi-label classification, and how to tweak classification models for either task
Lesson 5: Ensemble Learning
  • Improve the predictive power of Machine Learning models using lesser-known ensemble learning techniques
  • Understand ensemble learning methods from first principles, and implement tree-based models to boost regression and classification performance
Lesson 6: Feature Engineering with Pandas
  • Learn why feature engineering is crucial to successful Machine Learning models, and how to apply various feature engineering with pandas
Lesson 7: Unsupervised Learning with Clustering
  • Understand the intuition behind clustering algorithms
  • Differentiate the nuances of various clustering methods and when best to employ them for each scenario
  • Explore the use cases of clustering techniques through real-life datasets
Lesson 8: Recommender Systems
  • Capstone project presentation (by top 3 teams with best model)
  • Understand how recommender systems work and learn how companies like Netflix and Amazon utilise these systems to improve business outcomes
  • Implement a recommender system from scratch via an in-class project
Capstone Project

Kaggle Machine Learning Prediction Competition

    All AI200 graduates have the option of continuing with subsequent courses in our nanodegrees, where we prepare and equip you with the skills needed to secure prestigious jobs at top companies. Graduates can also consider exploring other learning opportunities like data analytics courses or web design courses to further enhance their portfolios.

    Course Fees & Subsidies

    IBF Subsidy Course Fees after Subsidy (incl. GST)
    Singaporeans aged 40 and above 70% $936
    Singaporeans below 40 and all PRs 50% $1,416
    Non-Singapore Citizens and Non-PRs 40%* $1,656

    Further reduce your out-of-pocket costs with:

    Heicoders Academy
    SkillsFuture Credits can be used to offset course fees for Singapore Citizens aged 25 and above
    Heicoders Academy
    NTUC Union members can be reimbursed with 50% of unfunded course fees (up to $250 a year) with UTAP
    Heicoders Academy
    *Heicoders Scholarship available for non-subsidy qualifiers to receive up to 40% course fee support from our Inclusive Education Fund

    SkillsFuture for Machine Learning

    If you are a Singapore Citizen aged 25 and above, you can use your SkillsFuture Credits to offset the course fees for this Machine Learning course.

    To use your credits, you will have to sign up for the course and submit a claim by:

    1. Visiting the SkillsFuture portal
    2. Selecting ‘Submit SkillsFuture Credit Claim’ on the homepage
    3. Logging in via Singpass and filling out the claim form

    For more detailed steps on how to claim your credits and submit a claim, check out our comprehensive SkillsFuture guide.

    Upcoming Course Dates

    Select a suitable course schedule below to apply. Limited slots are available and are allotted on a first-come-first-served basis.

    Applied Machine Learning Course Highlights

    Join our AI200 and discover the transformative power of applied AI Machine Learning to gain:

    Industry-Relevant Skills

    This course is filled with content and skills that you will find not only immediately useful but also valuable for your future endeavours

    Expert Instructors

    Personally interviewed by the founders, our dedicated instructors are experts you'll be eager to learn from

    Personalised Mentorship

    1-to-1 guidance and mentorship towards in-demand careers is offered as part of our Nanodegree programme


    This course designed to accommodate and support learners who are new to applied AI Machine Learning, making it easy to understand and engage with the material

    The Heicoders Guarantee

    Heicoders Academy is founded and run by a team of passionate technology industry practitioners who believed that their collective expertise and insights could fill the increasing technology skill gap in Singapore.

    Eager to share their experiences, they set out on a mission to create a learning experience that not only addressed the shortcomings of existing courses but also aimed to inspire the next generation of technology-sector talents in Singapore.

    Each Heicoders Academy course is crafted and regularly updated by an esteemed Academic Board, consisting of university professors and industry veterans with extensive experience as practitioners and hiring managers.

    Our Instructors

    All instructors at Heicoders Academy have been carefully screened and selected for their excellence and passion for teaching. With their extensive industry experience, we are confident that you will gain a wealth of knowledge from them.

    Course Reviews and Testimonials

    Heicoders Academy is proud to be recognised by our graduates for our ability to deliver comprehensive and practical content in a beginner-friendly manner. Embark on your Heicoders experience today and discover our dedication to delivering high-quality education.

    Frequently Asked Questions About Our Machine Learning Course

    Here are the questions we receive most often:

    Is machine learning very difficult?

    No, it is not! Machine Learning can be a complex and challenging field to learn, but it is not impossible. It requires a strong foundation in programming and mathematics, as well as a deep understanding of Machine Learning algorithms and techniques. However, with dedication, persistence, and proper guidance, anyone can learn Machine Learning with the help of our course.

    Is Python enough for Machine Learning?

    No, unfortunately, Python knowledge and skills are not enough for one to become a proficient Machine Learning engineer. While Python is one of the most popular programming languages used in Machine Learning, one also needs to have knowledge of linear algebra, calculus, statistics, and other related fields in order to become a Machine Learning engineer.

    How to pick a Machine Learning course?
    When choosing a Machine Learning course, it is essential to consider factors such as the course curriculum, the instructor’s experience, the format of the course, and the level of difficulty. This is why our applied Machine Learning online course should be your top choice — we offer courses with practical training, real-world projects, and opportunities to network with other professionals in the field.
    How can I start a career in Machine Learning?

    To start a career in Machine Learning, you need to have a strong foundation in programming and mathematics, as well as knowledge of Machine Learning algorithms and techniques. You can start by taking online courses, reading books and research papers, and practising on real-world problems. It is also beneficial to build a strong portfolio of machine learning projects to showcase your skills and knowledge to potential employers.

    What is applied Machine Learning?

    Applied machine learning involves using Machine Learning algorithms to solve real-world problems, such as predicting consumer behaviour, detecting fraud, or diagnosing medical conditions. It focuses on the practical application of Machine Learning techniques to specific use cases and requires a strong understanding of applied AI Machine Learning algorithms and programming languages.

    Read our blog to learn more about what applied machine learning is and why it is important.

    What are the different types of applied Machine Learning?

    There are several types of applied Machine Learning, including supervised learning, unsupervised learning, semi-supervised learning, and reinforcement learning. In supervised learning, the model is trained on labelled data to make predictions on new data. In unsupervised learning, the model is trained on unlabeled data to identify patterns and relationships. In semi-supervised learning, the model is trained on a combination of labelled and unlabeled data. In reinforcement learning, the model learns by trial and error through interaction with an environment.

    Will students be provided recorded sessions to revise the weekly lectures?

    Yes, lesson recordings will be provided. You are welcome to use the lesson recordings and materials for reference whenever you need a review of a particular lesson. Our Heicoders curriculum team takes great pride in documenting the class content thoroughly, so feel free to go through the lesson materials at your own pace. You could always reach out to your Teaching Assistants as well if you have questions outside of class.

    I just registered for the course and am a NTUC Union member. How do I apply for the UTAP subsidy?

    The UTAP subsidy is disbursed by NTUC to eligible students on a reimbursement basis. After completing the course, Heicoders students can then apply on the NTUC website for reimbursement, and upon approval they would usually receive a direct deposit from NTUC to their bank accounts within two to three weeks. You may find more details on the eligibility requirements and claims process on this NTUC UTAP website. On Heicoders’ end, we provide a PDF step-by-step guide on how to submit the claim to all students at the end of the course.

    Have a question we haven't answered?

    Media Features

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    Heicoders Academy Co-Founders Yu Ning and Min Yan shares with The Straits Times' Venessa Lee about their efforts to weave in digital and AI tools to save $8k/month for the academy

    TSL’s Faith Leong discusses Heicoders Academy’s AI courses, which is led by industry professionals and focuses on making machine learning accessible and relevant through practical capstone projects and real-world applications

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