Artificial Intelligence Nanodegree
Plenty of people can use AI. Far fewer can build it. Go from your first line of Python to a machine learning model you trained, evaluated and deployed yourself.
Artificial Intelligence Nanodegree
Three stacked courses that take you from writing Python and wrangling real data, to training and evaluating models, to deploying them on the cloud where people can actually use them.
First, you'll build the bedrock of all modern AI: Python. Master the programming fundamentals and learn to use powerful libraries like Pandas and Matplotlib to manipulate and visualise data.
Skills you'll learn
Python Programming and Data Visualisation (AI100)Next, you'll learn to make predictions. Dive deep into the theory and practice of machine learning, from linear regression to complex ensemble methods, and learn to train models that solve real business problems.
Skills you'll learn
Applied Machine Learning (AI200)Finally, you'll make your models useful. Learn to wrap your machine learning model in an API, containerise it, and deploy it on Amazon Web Services (AWS) so anyone in the world can use it.
Skills you'll learn
Deploying Machine Learning Systems to the Cloud (AI300)Complete all three to earn the Artificial Intelligence Nanodegree certificate
Training a model is the easy part. The harder skill is everything around it — framing the problem, reading the output with scepticism, and getting the thing running somewhere real people can reach it.
BEFORE
You follow tutorials, but freeze when the data is messy.
You can call model.fit(), but not explain why a model is wrong.
Your best projects stay in a notebook on your laptop.
AFTER THE NANODEGREE
You write Python that handles real, messy data on your own terms.
You pick the right algorithm and can diagnose why one underperforms.
You ship models to the cloud, where real users can reach them.
Not a list of topics — the concrete things you'll be able to build, ship and defend once you complete the pathway.
From Python and messy real-world data through to a trained model running in production — no gaps handed off to someone else.
Choose the right algorithm, diagnose why one underperforms, and explain the accuracy-versus-interpretability trade-off.
Wrap a model in an API, containerise it, and host it on AWS so real users can actually reach it.
Including a live, cloud-hosted AI application you can put in front of any employer.
A hands-on foundation before committing to a Masters.
Add machine learning to the engineering you already do.
Lead technical teams with end-to-end AI judgement.
30,000+ GRADUATES AND COUNTING
Start your own Nanodegree pathway today and write the next career-switch, promotion, or portfolio-building success story.
Absolutely. Many of our learners use this Nanodegree to build the practical Python, machine learning, and deployment skills that are often assumed in postgraduate programmes. You will enter a Masters with a significant head start and a portfolio of completed projects.
Our commitment to quality is validated by top industry rankings and media features, while national funding frameworks make our training more accessible.
SkillsFuture Singapore subsidy for Citizens and Permanent Residents.
Use your credits to offset course fees for Singapore Citizens aged 25+.
Eligible employers get a one off S$10,000 credit to offset up to 90% of supported programme costs.
Post-Secondary Education Account funding for learners aged 16 to 30.
Union Training Assistance Programme for NTUC union members.
Institute of Banking & Finance funding for selected courses.
For businesses claiming 400% tax deductions or up to S$20,000 cash payout.
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