Build & Learn: Von Data Science zu AI Engineering Woche 2

Wird ins Deutsche übersetzt…

**We are moving to [Lumina](https://luma.com/zexamulj), check out future events there!** **📅 Week 2: The LLM Application Layer** This event is part of our seven-week AI Engineering program, where we build an end-to-end AI application step by step and present our finished projects during Demo Day in Week 7. This week, we’ll work through the key layers of a modern AI application: * Go through the entire [OpenAI API](https://youtu.be/0pGxoubWI6s) documentation and Python SDK (authentication, requests, structured outputs, tool calling). * Learn prompt engineering fundamentals and the [core building blocks](https://youtu.be/T1Lowy1mnEg) of LLM systems. * Understand that [effective AI systems](https://youtu.be/tx5OapbK-8A) use as little AI as possible. Deterministic logic first, LLMs where they earn their place. * Build [agents from scratch](https://youtu.be/bZzyPscbtI8) before reaching for frameworks, and learn the [5 levels of AI agents](https://youtu.be/BaXTos7B1vY). * By the end of the 7 week cycle, you should have a working AI application in your own GitHub repository and practical experience with AI pipelines, APIs, databases, retrieval, evaluation and deployment. You are welcome to follow the shared project or apply the weekly concepts to your own project. **✨ Who is this for?** Anyone interested in transitioning toward AI engineering. No previous LLM or AI engineering experience is required. However, I recommend some basic programming experiences or be to help with your first build session. ​💻 **Bring:** **Your laptop** and curiosity. Grab ☕ at the coffeeshop ​💬 Our slides and meeting link with be shared on our Discord → [Join Discord Server](https://discord.gg/dPnmzcCP8w?utm_source=luma)