Frequently Asked Questions

Each course is organized into modules that blend theory with guided projects. You’ll work on real applications step by step, following tutorials, code examples, and mentor feedback.

Basic Python familiarity helps you move faster, but our beginner modules include coding tutorials and exercises to bring newcomers up to speed.

Beginner to intermediate learners are welcome. We design each module to introduce core AI concepts step by step, so newcomers gain confidence while those with some background deepen their skills through hands-on practice.

Each project is woven into the curriculum with clear objectives, practical datasets and structured milestones. You tackle end-to-end tasks like data cleaning, model building and evaluation under guided instructions.

Yes. After finishing all project requirements and final assessments, you get a digital certificate from aipractice that highlights your practical achievements.

All lectures, notebooks and datasets are hosted on our secure online platform. You can revisit resources anytime, download assets and run code in a cloud environment.

Absolutely. You can schedule live Q&A sessions, post questions in dedicated forums and receive personalized feedback on your project work.

Students join an active online community on Slack and GitHub. You can collaborate on challenges, share insights and get peer review to reinforce your learning.

Each course spans 6 to 8 weeks, based on a part-time schedule of guided video lessons, project work and interactive sessions.

For technical or enrollment questions, email [email protected] or call +41761073840 anytime during business hours.