Build & Learn: Data Science with Coffee 🎄Christmas Special🎄
Event

Build & Learn: Data Science with Coffee 🎄Christmas Special🎄

BerlinGermany
Classes & WorkshopsFestivals & Community

About this Event

**🎄 Build & Learn: Christmas Special- "Agents & the Future of Work"** This is our **Fifth 7-week cycle**. This cycle, instead of everyone building different projects, we’re diving deep together — into one of the most exciting frontiers in AI: Agentic Flow. 🤖 How can we make LLMs reason, plan, and act more like agents? 💰 How do we evaluate cost, performance, or collaboration between agents? 🧩 Which frameworks actually make this easier — LangChain, CrewAI, Autogen, or something new? **Week 1 — Kickoff: What is Agentic Flow?** * Short intro talk + demos of different agent frameworks (LangChain, CrewAI, Autogen, etc.) * Everyone defines a subtopic or question to explore (e.g., cost tracking, evaluation, multi-agent orchestration). * Set up environment and pick framework. * **🧭 Possible Individual Topic Ideas** * 📊 Cost Analysis: Track and visualize token usage across frameworks. * ⚙️ Evaluation: Compare performance of 2 frameworks on the same multi-step task. * 🧠 Reasoning Styles: Study how different agent setups approach problem-solving. * 💬 Communication: Design multi-agent conversations for task delegation. * 💼 Use Case Mini-Build: A practical agent (data summarizer, code reviewer, customer insight bot). This 7-week themed cycle is about experimenting together — each of us exploring a small slice of the same big question, so we can learn faster by comparing notes. ✨ **Who’s Hosting?** I’m Lindsey, a senior data scientist working on AI, causal inference, and data products. I’ve built models for fraud detection, uplift modeling, and LLM applications. 📅 **When?** **Saturday , Nov 1, 10:00 AM- 12:00 PM** 📍 **Where?** : **Wework Alexanderplatz** 💻 **Bring:** **Your laptop**, an idea, or just curiosity! 👩‍💻 \*\*No experience needed—just curiosity.\*\*Grab a coffee, meet cool people, and work on something fun.

Event Date

Date not available

Recommended Time

We recommend spending about Duration not set here.

Address

Dircksenstraße 3

Accessibility

Accessibility unknown

Location