This course contains the use of artificial intelligence. You can build an app with AI in a weekend. Then real users show up, and running code turns out to be nowhere near working software. This course covers what happens in between: how state actually behaves, why your schema decisions matter, what breaks at your first traffic spike, how deploys go wrong, and the security holes AI generated code ships with.
38 modules from first principles to production, each built around decisions instead of theory: real postmortems from companies that learned the hard way, assignments you build yourself, and the defaults a principal engineer would pick. You’ll trace a request through DNS, TLS, and load balancers so outages stop being mysteries.
Along the way you’ll read the SQL your ORM writes, migrate a live schema without losing data, and know when a cache is saving you and when it is quietly lying. You’ll wire up CI that blocks bad deploys, queues that survive restarts, payments that pass compliance, and AI features with real cost and latency budgets instead of vibes. There are modules on debugging as a discipline, on observability, and on shipping mobile through app store review. If you started coding last month with AI, everything is explained from first principles.
