Master Applied Machine Learning with Python
Go from Python coder to AI builder. This hands-on course teaches you to build and train real-world machine learning models to solve complex problems.

Skills That Pay Off
Build Models, Solve Problems
Master Applied Machine Learning
Go from theory to practice. Learn to build, train, and evaluate machine learning models to solve real-world business problems.
Build a Portfolio of ML Projects
You'll work on a variety of hands-on projects, from predicting customer churn to building a recommendation engine.
Stand Out for the Roles That Matter
Machine learning skills are among the most sought-after in the industry. This course gives you the practical experience and portfolio to stand out when applying for ML engineering, AI, and data science roles.
Build a Portfolio That Speaks for Itself
Complete a real-world capstone project you can show to employers. It's the difference between saying you know machine learning and proving it.
Source: IMDA Digital Economy Report 2025
Is This Course For You?

The Python Coder
You have a foundation in Python (like from our AI100 course) and are ready to take the next step into the exciting world of artificial intelligence and machine learning.

The Data Professional
You work as a data or business analyst and want to level up your skills. Learn to build predictive models to uncover deeper insights and drive business decisions.

The Aspiring ML Engineer
You want to transition into a data science or machine learning role. This course provides the project-based experience and portfolio piece you need to get noticed.

The STEM Graduate
You have a strong foundation in maths or science and want to apply it. This course shows you how to turn that analytical mindset into working machine learning models.
Skills You'll Gain
What You Will Actually Build
AI200 is the essential next step in your AI journey. Designed for learners comfortable with Python, this course dives straight into the practical application of machine learning. Over 8 lessons, you will learn to process, visualise, and model data using cutting-edge techniques.
Course Modules
The course culminates in a capstone project, where you will build a complete machine learning solution to a real-world problem, solidifying your skills and providing a valuable asset for your professional portfolio.
Data Foundations
Master the art of data transformation, exploratory data analysis (EDA), and advanced graphical visualisation using Pandas and other powerful libraries
Supervised Learning
Learn to build predictive models from scratch. Master both regression (predicting numbers) and classification (predicting categories) algorithms.
Advanced Modelling Techniques
Level up your models with ensemble learning and master the art of feature engineering to improve accuracy and performance.
Unsupervised & Recommender Systems
Discover hidden patterns in data with clustering algorithms and learn to build powerful recommender systems from the ground up.
- Access all course materials and assignments through our dedicated online e-learning portal.
- Utilize onboarding resources to familiarize yourself with prerequisite concepts and tools before the course begins.
- Receive personalized guidance and support from our instructors and teaching assistants to resolve any issues.
- Join our Telegram channel to network with fellow students, alumni, and tech hiring managers.
Course Fees & Subsidies
We believe upskilling should be accessible. That's why eligible Singaporeans and PRs can enjoy up to 70% SSG funding. Stack it with SkillsFuture Credits, PSEA and UTAP, and you could pay as little as $0.
before subsidy
after SSG
+ Stack your $500 SFC
SkillsFuture Funding (SSG) Up to 70% subsidy for eligible Singaporeans & PRs
Find out howSkillsFuture Credits (SFC) Use to offset fees for Singaporeans aged 25+
Find out howPSEA Use your Post-Secondary Education Account to pay course fees
Find out howUTAP for NTUC Members Claim up to 50% of remaining fees (max $500/year)
Find out howSkillsFuture Enterprise Credit (SFEC) Employer-sponsored credit for enterprise-supported training
Find out howSelect preferred slot:
Monday Classes

Taught by Industry Practitioners. Trusted by Employers.
At Heicoders, you learn from the real deal: engineers, data scientists and AI specialists from top companies. They bring insider knowledge, real-world strategies and the mindset employers look for. You don't just learn what to do. You learn how the best in the field do it.
That's how you'll gain the confidence to solve problems, speak the language of tech and stand out at work. So when you learn with Heicoders, you're not just preparing for the job. You're learning from people already doing it and rooting for you to join them.
Our Instructors

Beh Min Yan
CEO & Principal Instructor
Masters of Informations System, Carnegie Mellon University

Kong Yu Ning
Chief of Growth & Principal Instructor
Masters of Management Science & Engineering, Columbia University

Chan Yu Siang
Chief of Training & Standards & Principal Instructor
Masters of Computing, Singapore Management University

Beh Wei Chen
Chief Technology Officer & Principal Instructor
MSc, Georgia Institute of Technology

Darryl Wang
Senior Data Science Manager, LINE MAN
MSc Analytics, Georgia Institute of Technology
From Individuals to Organisations, Real Results Happen Here
"Thanks to instructor Darryl and TA Kim — their passion for data really shined through every AI200 lesson."
Zack progressed through DA100, AI100, and AI200, noting AI200 as the most content-heavy of the three. He credits Darryl and TA Kim for keeping the course engaging and enriching throughout.
"Jon and Michelle are extremely helpful and knowledgeable. Danielle's live drawing really helps me understand difficult concepts."
Terence completed DA100 with instructors Jon and Michelle, then AI100 and AI200 with Danielle and Kim. The well-paced weekly sessions gave him time to revise between classes, building real confidence in programming.
"Instructors Darryl and Min Yan are knowledgeable, take time to explain clearly, and are overwhelmingly dedicated to making sure students understand."
Jensen commended her AI200 instructors for their commitment to ensuring every student understood the content before moving forward. A warm and supportive learning experience throughout.
FAQs on Applied Machine Learning Course
Yes. This is an intermediate course designed for those who are already comfortable with Python programming. If you are new to coding, we strongly recommend starting with our AI100: Python Programming & Data Visualisation course first
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