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47 listed worldwide, in date order.

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Founders Running Club :: Berlin

NetworkingIn person
09:00Europe / Berlin
Berlin City Center, Dorothea-Schlegel-Platz Next to Bahnhof Friedrichstraße, 10117 Berlin, Berlin, Germany
Founders Running Club :: Berlin

Founders Running Club brings together founders, investors, tech professionals, creatives, and startup enthusiasts for weekly easy runs combined with networking. The event is designed to foster connections in an informal setting with a focus on community building. Participants can enjoy physical activity while expanding their professional network in Berlin.

FoundersInvestorsNetworking

Build & Learn: From Data Science to AI Engineering Week 2

EventIn person
10:00Europe / Berlin
Octupus Bar, Berlin, Germany
✨Build & Learn: AI with Coffee☕ ✨

📅 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 documentation and Python SDK (authentication, requests, structured outputs, tool calling). Learn prompt engineering fundamentals and the core building blocks of LLM systems. Understand that effective AI systems use as little AI as possible. Deterministic logic first, LLMs where they earn their place. Build agents from scratch before reaching for frameworks, and learn the 5 levels of AI agents. Learn context engineering to understand why agents fail and how to feed them the right information. 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? This cycle is designed for data scientists, analysts, software developers and Python users interested in moving toward AI engineering. No previous LLM or AI engineering experience is required. However, you should already understand basic Python or be willing to complete some preparation independently. ✨ Who’s hosting? I’m Lindsey, a senior data scientist working on AI systems, causal inference and data products. I’ve worked on machine learning, uplift modelling, fraud detection and production LLM systems. I care about learning through building—and moving beyond AI hype toward applications that actually work. 💻 Bring: Your laptop, your project and your curiosity. ☕ Please grab a coffee or drink from the Octopus Bar to support the business and thank them for providing the space.

[DE] Bitcoin Beginner Workshops - Entdecke Bitcoin

WorkshopWeb3 & CryptoIn person
19:00Europe / Berlin
w3.hub, Berlin, Germany
Bitcoin Lab Berlin

This event offers beginner workshops about Bitcoin for people interested in learning the basics of cryptocurrency. It takes place in Berlin and provides a practical introduction to Bitcoin concepts. Attendees can gain foundational knowledge useful for entering the crypto space or understanding digital currencies.

Hands-OnFirst-Time Founders

Global AI Construct Berlin

EventAI & Machine LearningIn person
10:00Europe / Berlin
Kalle Halle, Winter Garten, Berlin, Germany
Graph Database - DACH (Germany, Austria, Switzerland )

Global AI Construct Berlin is a full-day hands-on event focused on AI and machine learning technologies. It is designed for developers and practitioners interested in applying Neo4j graph databases and agentic AI frameworks. Attendees can gain practical skills and network in Berlin's tech community.

Hands-On

Berlin. Vibe Coding Club: Demo Night

CompetitionAI & Machine LearningIn personFree
18:00Europe / Berlin
Berlin, Germany, Berlin, Germany
Luma Berlin

Participants demo projects built using AI-powered development tools and share insights on their workflow, challenges, and lessons learned. The event is for designers, developers, product managers, founders, marketers, and anyone interested in AI-driven creative projects. Attendees can engage in demos, audience questions, and networking conversations.

FoundersNetworkingOperators

Deep Tech Night: Quantum & Photonics

Pitch EventDeep TechIn personFree
17:00Europe / Berlin
Lanolin Fabrik, Berlin, Germany
Silicon Allee

Five startups pitch innovations in photonic integrated circuits, optical communication, quantum technology, and precision sensing. The event is for founders commercialising photonics or quantum research, researchers interested in business applications, and investors focused on optical computing bottlenecks. Attendees gain insight from an investor panel, guest talks, and networking opportunities.

FoundersPitchingInvestors

TEDx CODE University

CompetitionIn personFree
18:00Europe / Berlin
CODE University of Applied Sciences, Berlin, Germany
Luma Berlin

TEDxCODE University features talks that share ideas worth spreading, covering topics from technology and innovation to personal stories that challenge perspectives. The event is designed for a broad audience interested in learning and connecting in Berlin. Attendees can expect an inspiring day focused on knowledge sharing and networking at the university venue.

Talks & Panels

Hacker Room Demo Day

Demo DayAI & Machine LearningDeep TechIn personFree
18:00Europe / Berlin
Merantix AI Campus, Berlin, Germany
Luma Berlin

Hacker Room Demo Day showcases technical demos from AI projects developed by residents of the Merantix AI Campus in Berlin. Attendees can see early-stage prototypes and experiments, engage in technical conversations, and connect with AI engineers and builders. The event offers a casual and collaborative environment for exploring experimental AI ideas.

FoundersHands-OnOperators

Build & Learn: From Data Science to AI Engineering Week 3

EventIn person
10:00Europe / Berlin
Octupus Bar, Berlin, Germany
✨Build & Learn: AI with Coffee☕ ✨

📅 Week 3: Build Production ready AI backends 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: Build APIs with FastAPI and validate everything with Pydantic. Containerize with Docker and work with PostgreSQL for storage. Manage configuration and secrets safely with environment variables. Understand MCP servers and how they extend your AI applications. 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? This cycle is designed for data scientists, analysts, software developers and Python users interested in moving toward AI engineering. No previous LLM or AI engineering experience is required. However, you should already understand basic Python or be willing to complete some preparation independently. ✨ Who’s hosting? I’m Lindsey, a senior data scientist working on AI systems, causal inference and data products. I’ve worked on machine learning, uplift modelling, fraud detection and production LLM systems. I care about learning through building—and moving beyond AI hype toward applications that actually work. 💻 Bring: Your laptop, your project and your curiosity. ☕ Please grab a coffee or drink from the Octopus Bar to support the business and thank them for providing the space.

Build & Learn: From Data Science to AI Engineering Week 4

EventIn person
10:00Europe / Berlin
Octupus Bar, Berlin, Germany
✨Build & Learn: AI with Coffee☕ ✨

📅 Week 4: Connect AI to your data with RAG 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: Learn how to chunk documents and create embeddings. Use a vector database such as pgvector. Build an ingestion pipeline to embed and store documents. Implement similarity search and hybrid search. Learn to evaluate retrieval quality and identify failure cases. 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? This cycle is designed for data scientists, analysts, software developers and Python users interested in moving toward AI engineering. No previous LLM or AI engineering experience is required. However, you should already understand basic Python or be willing to complete some preparation independently. ✨ Who’s hosting? I’m Lindsey, a senior data scientist working on AI systems, causal inference and data products. I’ve worked on machine learning, uplift modelling, fraud detection and production LLM systems. I care about learning through building—and moving beyond AI hype toward applications that actually work. 💻 Bring: Your laptop, your project and your curiosity. ☕ Please grab a coffee or drink from the Octopus Bar to support the business and thank them for providing the space.

Berlin AI Day by Buildersklub

Pitch EventAI & Machine LearningIn person
09:00Europe / Berlin
Festsaal Kreuzberg, Berlin, Germany
Luma Berlin

Berlin AI Day gathers leaders, operators, and builders to explore how AI and automation are transforming organizations. The event features no-hype talks from companies sharing real use cases, lessons, and outcomes. Attendees can learn practical strategies across leadership, operations, and product development for building AI-first organizations.

FoundersPitchingTalks & PanelsOperators

What If Websites No Longer Have Pages? | MeetUp @HelloDigital

MeetupAI & Machine LearningIn personFree
18:00Europe / Berlin
Berlin, Germany, Berlin, Germany
Luma Berlin

For Designers, UX/CX Strategists, Product Leaders, and Business Decision-Makers. What if the website you've spent years perfecting quietly stops being where your customers meet your brand? You optimized the navigation. Refined the design system. Obsessed over every step of the customer journey. But AI is changing where people actually go looking for answers. Instead of visiting your site, they ask an AI assistant, and your website becomes a source it pulls from, not a destination people arrive at. At our next HelloDigital MeetUp, Nikolaus Stemmer (a Berlin-based UX/CX Director, researcher, and speaker with more than 25 years designing digital products) takes on the question most brands and design teams are avoiding: what happens to digital brand experience once AI becomes the gateway, not the website? He'll walk through machine-readable brands, Generative Engine Optimization (GEO), and what he calls the Intent Era, a future where AI increasingly decides what your customers see of you. No predictions dressed up as hype. A sharp, evidence-grounded look at what's shifting, and what you can start doing about it now. What we'll explore Why the website's role is changing in an AI-first world How AI is reshaping the way people discover brands What machine-readable brands and Generative Engine Optimization (GEO) mean in practice, not just in theory Whether design systems and interfaces still matter once AI generates the experience How the job of designers and digital teams is shifting under all of this Who should attend? This is for designers and UX/CX strategists who build digital brand experiences, and for product leaders and business decision-makers who fund and own the strategy behind them. You'll leave with a sharper read on where digital experience is headed and what to question in your own work. To keep the room sharp and the conversation real, seats are limited to 60 guests. Schedule 6:00 PM – Doors open 7:00 PM – Talk by Nikolaus Stemmer 8:00 PM – Drinks & networki

Operators

The Non-Dilutive Funding Roadmap: from Pre-Seed to Series B

WorkshopFundraisingIn personFree
16:30Europe / Berlin
The Delta Campus, Berlin, Germany
Luma Berlin

This workshop explains the use of non-dilutive funding methods such as grants and subsidised loans alongside traditional equity rounds. It is designed for startup founders and investors seeking to extend runways and reduce dilution from pre-seed to Series B stages. Participants learn practical strategies to integrate public funding into their financing plans effectively.

FoundersHands-OnInvestorsPre-Seed