AIOnline Applied AI
A 5-session, 28-course, 530-class, 1,590-hour online applied AI learning path. Self-paced with an AI tutor, start anytime. Explore 20 video previews of the learning journey.

Online AI program
Practical learning in programming, data analysis, machine learning and deploying AI systems. Explore the online curriculum and view courses on ai.unica.college.
How to start
Three simple steps to explore the online curriculum and begin enrolment.
Online Applied AI programReview the full online program — sessions, courses and classes — on ai.unica.college to see what you'll learn.
View coursesContact our admissions team about prerequisites and the enrolment steps for this self-paced online program.
Contact admissionsComplete the confirmed enrolment steps with admissions to get started.
Talk to admissionsPrograms
Four distinct paths: an online Applied AI learning path, the LEA.ED data analysis program, and two Ministry-recognized audio AEC programs — taught by working professionals from studios, post-production and game audio.
Learning path
A structured online path, from programming to deployment, ending in a defended capstone project.
Foundations of programming with Python — data structures, functions and clean, reproducible code.
Cleaning, exploring and visualizing data to extract clear, defensible insights.
Building, training and evaluating predictive models with sound validation practices.
Neural networks and natural language processing for text, audio and multimodal tasks.
Deploying and monitoring models in production with reproducible pipelines.
A defended end-of-program project that brings the full learning journey together.
The online Applied AI learning path is self-paced with an AI tutor and you can start anytime. View courses and current enrolment options on ai.unica.college, or contact admissions for prerequisites and enrolment steps.
An online path of 5 sessions, 28 courses, 530 classes and 1,590 hours, self-paced with an AI tutor, ending in a defended capstone project.
This online path is distinct from the on-site LEA.ED program; the two are not equivalent.
View courses and enrolment optionsDiscover the latest trends in audio engineering, game sound, and AI technology.

A fitted parametric model stores parameters, not raw rows — but not every model is parametric, and parameters do not guarantee privacy. Here is what that means for your project.

The three families differ by what you have: labelled targets, unlabelled structure, or a reward signal from actions. Match the family to your data.

Underfitting and overfitting are two ends of the same dial. Learn what each looks like and how to move the dial toward the middle.
Common questions
What you'll study, where to see the curriculum, and how to reach admissions.
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