A PROJECT YOU CAN MAKE YOUR OWN
From first questions
to a working demo.
A working perception pipeline, reproducible evaluation, and a technical project report.
This is a proposed learning path. The mentor, final project, start date, and weekly schedule will be confirmed before enrollment.
Your four-month journey
MONTH 01Frame the problem+
Choose a visual task, explore a public dataset, and agree on your evaluation criteria.
MONTH 02Build your baseline+
Implement a baseline and build a reproducible training and evaluation pipeline.
MONTH 03Experiment & improve+
Investigate failure cases and test improvements under changing conditions.
MONTH 04Demonstrate & explain+
Package your code, present the evidence, and demonstrate what your system can do.
What to bring
Comfortable Python, basic linear algebra, and introductory machine learning.
Plan for 4–6 hours of independent and team work each week, alongside your one-hour mentor meeting. The pilot is online, using public data and simulation.
Tools you'll work with
Python · PyTorch · OpenCV
What you'll take away
- A documented team project and your individual contribution
- A final demo and technical write-up
- Direct feedback and an individual assessment
- Opportunity to request a performance-based reference