✨Build & Learn: AI with Coffee☕ ✨

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About us

What We’re About
Build & Learn: AI with Coffee is a community for people who want to understand AI by actually building with it.

The AI world is changing quickly. New tools, frameworks and job titles appear constantly, and it can be difficult to know what to learn, what matters and where to begin.
Instead of trying to keep up with every new trend alone, we learn together through practical projects.

Our focus is simple: Build something. Learn from it. Share what worked—and what didn’t.

Who Is This For?
This group is especially useful for:
- Curious builders who learn best by doing (Tech curious beginners welcome!)
- Analysts and Python users who want to build real AI applications
- Software developers exploring LLM and GenAI systems
- Technical professionals trying to navigate the changing AI landscape
- Data scientists moving toward AI engineering

BUILD. LEARN. EXPERIMENT.
🌱 Start Building — At Any Pace
Free resources from previous build cycles — guides, templates, and exercises — are available anytime in our 📁 Google Drive
🌱 Go at Your Own Pace?
Reach out when you want a human in your corner.
📍 Weekly meetups in Berlin · 💬 Join our Discord → https://discord.gg/dPnmzcCP8w

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Upcoming events

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Build & Learn: From Data Science to AI Engineering Week 5
Sat, Oct 31 · 10:00 AM CET
Hilton Berlin, Anton-Wilhelm-Amo-Straße 30, 10117 Berlin, Germany, Berlin, BE, DE
We are moving to Luma, check out future events there

📅 Week 5: Deploy your AI Application

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 move our application from local development to the cloud and we will only be using free tier options
- Understand different deployment types
- Introduce CI/CD pipelines concepts
- Package everything with Docker and testing locally
- Deploy your application using Google Cloud
- Use Supabase for hosted postgresSQL + pgvector
- Management of API keys and credentials securely with Google Secret Manager
- Schedule jobs with Cloud Scheduler
- Alternative simple deployment with interactive streamlit application
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 towards 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
26 attendees
Build & Learn: From Data Science to AI Engineering Week 6
Sat, Nov 7 · 10:00 AM CET
Food Factory Cube Berlin, Washingtonplatz 2,, Berlin, DE
We are moving to Luma, check out future events there

📅 Week 6: Monitor and evaluate your LLM application

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 focus on understanding how our LLM application behaves after deployment and how to measure whether its outputs are actually useful.
- Monitor and debug LLM calls with Langfuse tracing.
- Manage and version prompts with Langfuse Prompt Management.
- Introduce the main concepts behind LLM evaluation.
- Write focused unit tests for predictable application behavior.
- Build evaluation datasets from representative examples.
- Add human annotations and feedback using Langfuse scores.
- Build an LLM-as-a-judge evaluator
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 towards 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
16 attendees
Build & Learn: From Data Science to AI Engineering Week 7(ONLINE DEMO)
Sat, Nov 14 · 10:00 AM CET
·
Online
Online
📅 Week 7: Demo Day

This is the final event in our seven-week AI Engineering program and we are doing it online.

After building an end-to-end AI application step by step, it’s time to share what you created.
This week, we’ll focus on presenting our projects and reflecting on the full development journey:

This is the final event in our seven-week AI Engineering program. This week is about sharing what you built, explored or learned—the project does not need to be complete.

You can choose what you would like to present yourself, here is a list of possibilities :

Demo your complete AI application.

Focus on one technical component, such as LLM calls, RAG, APIs, databases, evaluation or deployment.

Share a challenge you faced and how you approached it.

Explain an experiment that worked—or one that didn’t.

Talk about your most important learning from the seven weeks.

Present your architecture or development process.

Share what you would improve or build next.

Present your own project, even if it differs from the shared build.

The goal is not to deliver a polished or production-ready product. It is to reflect on your progress, communicate what you learned and learn.
10 attendees