Learn AI from scratch. Build real projects. Stand out.
No experience required — just curiosity and a computer.
Understand how AI models learn from data. Cover supervised learning, data pipelines, evaluation metrics, and build your first working model.
Go under the hood of GPT-style models. Learn how transformers and LLMs work, and how to use APIs to build your own AI-powered applications.
Set up a professional GitHub profile, document your projects clearly, and create a portfolio that signals real technical ability to admissions officers.
Work through two instructor-guided projects from dataset to deployed model — building the kind of work you can show, explain, and be proud of.
Package your project into a compelling research-style presentation. Learn to communicate technical work to judges, peers, and admissions committees.
Two sessions per week over five weeks.
Join from anywhere. All you need is a laptop and an internet connection.
You'll build two AI projects during the course.
Instructor, Ingenium AI
Dr. Mirna Gouda holds an engineering doctoral degree from MIT and brings over 7 years of teaching experience to every session. She's passionate about empowering students through curiosity and independent thinking — her courses are designed to challenge you, support you, and leave you capable of building things on your own.
Access to all 10 live sessions and every resource below.