Building AI Apps with LLMs
From first API call to a feature you can ship: prompting, structured output, tool calling, streaming, and cost control.
Intermediate2h 27m12 lessons
10 courses
From first API call to a feature you can ship: prompting, structured output, tool calling, streaming, and cost control.
Intermediate2h 27m12 lessons
Learn the App Router the way it actually works: routing and layouts, the server/client boundary, caching, and server actions.
Intermediate1h 59m12 lessons
A practical on-ramp to data work in Python: the language basics you need, pandas, plotting, and reproducible workflows.
Beginner3h 35m12 lessons
Go past annotations. Structural typing, narrowing, generics, and the type-level tools that make invalid states impossible.
Intermediate1h 55m12 lessons
Containerise an application, run it on Kubernetes, ship it through a pipeline, and operate it once it is live.
Advanced2h 40m12 lessons
SQL you will actually write, schemas that hold up, indexes that get used, and the operational basics behind them.
Intermediate2h 13m12 lessons
The vulnerabilities that actually show up in web applications, how they are exploited, and how to close them for good.
Intermediate2h12 lessons
Measure before you optimise. Profiling, render behaviour, concurrent features, and shipping less JavaScript.
Advanced2h 21m12 lessons
Build a RAG system that actually retrieves the right thing: embeddings, chunking, hybrid search, reranking, and grounded answers.
Advanced1h 57m12 lessons
The building blocks of scalable systems — load balancing, caching, queues, partitioning, and the reliability work around them.
Intermediate1h 37m12 lessons