2 courses
AI Application Developer
Build on LLMs like they are infrastructure: prompts, RAG, tools and evals.
- 1LLM Application EngineeringBuild software on top of language models like an engineer, not a demo: prompting as an interface, structured output, RAG that retrieves the right thing, tools and agents with boundaries, evals, and the cost math that decides whether it ships.
- 2Python Engineering: Idioms, Packaging, and ProductionPython the way senior engineers write it: iterators and the data model that make code feel idiomatic, packaging and testing that let a project grow past one file, and the typing, debugging, and error-handling habits of production Python.