Learn by directing AI through real professional workflows, and find out what working in tech actually looks like. Each track puts you in the shoes of a practitioner. You direct AI to build software, analyze data, and solve problems for clients. The work follows the same professional workflow that people in the industry use every day.
Define metrics, build dashboards, and make sense of experiments
Attack systems, detect the breach, and build the defenses
Build the pipelines and quality systems that data depends on
Explore data, build models, and turn findings into recommendations
Train models and build LLM applications, from prototypes to production
Build sites and apps, from static pages to full-stack deployments
Not sure where to start? Pick a track, try the introduction, and see whether the work appeals to you. Web Development shows results in a browser immediately. Machine Learning is a good choice if you're drawn to data and prediction. Every track is independent, so pick whichever interests you most.
Every track follows the same structure:
You direct AI (primarily Claude Code) to do the work. Your job is to give it the right context, break the work into pieces it can handle, verify what it produces, and make the judgment calls.