How it works

We create Data Science and AI Experts by adapting the best learning methods for the online world. And we do absolutely everything LIVE!

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Live Classes

Every week celebrated professors teach classes in short 15–20 minute segments, each followed by a quick problem, to ensure engaged learning.

A lecture consists of 3–4 such segments. Lectures and Labs are typically held twice a week for 1.5–2.5 hours each.

Live class schedule for Univ.AI

Intensive Mentorship

A mentor supervises a small group of 10-20 students. They conduct labs, provide office hours and debrief homework. Your group will get 15 Hours/week to interact with the Mentor.

* Even more mentor hours can be requested as per your discussion with your mentor

Mentor driven learning at Univ.AI. Here is visual representation of their schedule

Applied Learning

Our system of learning starts with key concepts in lectures, and builds on them rapidly by engaging students in problem solving of increasing complexity.

First with in-class quizzes, followed by labs and homeworks, culminating in an end-of-module project. The finale for the entire program is a major project called the capstone.

quizzes

Quizzes

In-class quizzes after each 15-20 minute lecture segment helps you review your learning immediately. This cements your conceptual understanding, and also increases long term recall.

Labs

Labs

Both during, and at the end of each lecture, Mentors guide their assigned study groups through a highly interactive hands-on lab using our education platform. In these Labs, students and their Mentors together walk through a lab step-by-step.

End-of-Module Project

At the end of each module, you work on a complex problem that challenges you to apply what you learned during the module. As always, your Mentor will work with your group and you, LIVE, to help you make the best of your project.

Homeworks

Short problem-sets test and reinforce your learning key concepts covered in the classes. These get you ready for longer, context-rich Assignments in which you apply these ideas to complex problems. Short problem-sets follow every lecture. Longer Homeworks are typically given once each week.

end of module project

Capstone Project

For AI and Data Science Master and Advanced Programs, you work on a 10–12 week long Capstone Project, either with one of our partner companies, or with Faculty from around the world.

The Capstone Project is where you work on a complex, possibly real-life problem that calls on you to apply a diverse set of skills – from problem assessment and solutioning, to making trade-offs to meet deadlines and budgets. Your experience on the Capstone is designed to be very close to what you’d encounter at a company or a research institution. Your performance in the Capstone is a major indicator of your skills and expertise.

Excellence in AI education

Evaluation

Certification

Rigorous, multi-dimensional evaluation is a cornerstone of our program. Evaluation consists of 4 parts:

• Performance in classroom quizzes
• Team and individual homeworks
• Performance in projects
• Overall ability to work in teams

Some parts are automatically graded, such as quizzes. Home works and projects are evaluated by your Mentor. Top projects are evaluated and graded faculty. Projects and Capstones are carefully evaluated, and become part of a student’s long-term repository at Univ.AI.

Rigorous, multi-dimensional evaluation is a cornerstone of our program. Evaluation consists of 4 parts:

• Performance in classroom quizzes
• Team and individual homeworks
• Performance in projects
• Overall ability to work in teams

Some parts are automatically graded, such as quizzes. Home works and projects are evaluated by your Mentor. Top projects are evaluated and graded faculty. Projects and Capstones are carefully evaluated, and become part of a student’s long-term repository at Univ.AI.