Events

Events for you

Conferences, demo days, pitch nights and meetups. Anything we can show a source for is linked back to the page it came from.

All upcoming events

223 listed worldwide, in date order.

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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

What it really takes to build an Internal Developer Platform with Backstage

EventOnline
20:00Asia / Jerusalem
Online, Germany
Platform Engineers Berlin

This online event explores the challenges and decisions involved in building an internal developer platform using Backstage. It is designed for platform engineers and developers interested in improving developer experience within their organizations. Attendees will learn why a developer portal is not sufficient and what it takes to create a full platform.

GTM Guided Setup und wie Website-Scraping richtig gelingt || FREE Training

WorkshopOnline
10:00Europe / Berlin
Online, Germany
Analytics Pioneers Munich

ANMELDUNG unter: https://analytics-pioneers.de/community-trainings Inhalte: 1\. Einführung in das GTM Guided Setup Einsatz von Page Locations und CSS-Selektoren als Conversion-Trigger Wann sollte das GTM Guided Setup eingesetzt werden? 2\. Einführung in Website\-Scraping Welche Inhalte sollten gescraped werden und welche nicht? CSS-Selektoren: Wie stabile Selektoren ausgewählt werden Risiken und Grenzen von Scraping Datum: Freitag\, 28\.08\.2026 \| 10:00\-12:00 Uhr Trainer: Jenny Bachmann mit Marcus Stade & Patrick Mohr Das Training ist live und wird auf Deutsch gehalten. Es wird nicht aufgezeichnet. ANMELDUNG Bitte meldet euch hier kostenlos für das Training an:

build fridays - work on your startup alongside other founders (bring laptop)

EventIn person
16:00Europe / Berlin
House of AI, Hamburg, Germany
AI BEAVERS | HAMBURG

!MAKE SURE TO REGISTER ON LUMA! \-\-\-\-\-\-\- build fridays hamburg every week, fridays, 4-11pm. bring your laptop. open door - come at what time you can. recommend not to miss 7pm intros what it is: a bi-weekly gathering for people building startups. come work on your thing alongside others doing the same. network while you actually ship. who comes: anyone thinking about starting something → actively building → startup veterans. from first-time founders to serial entrepreneurs. what happens: •⁠ ⁠build your product/project •⁠ ⁠demo what you shipped the last weeks •⁠ ⁠talk through your blockers •⁠ ⁠get help when you’re stuck •⁠ ⁠meet other builders why this matters: hamburg’s startup scene needs less powerpoint and more product. forget business plans and financial projections. inspired by silicon valley: build fast, break things, get users, iterate. free. just show up with your laptop ready to ship something. 🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫 P.S. if your beaver brain loves building and hates selling, same. SAGEOBOT helps.

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.

Sept 2 - Document Visual AI Workshop

WorkshopAI & Machine LearningOnline
11:00Europe / Berlin
Online, Germany
Berlin AI Machine Learning and Computer Vision Meetup

This workshop focuses on using FiftyOne and a high quality invoice images dataset for optical character recognition tasks. It is intended for participants interested in document visual AI and machine learning techniques. Attendees will gain hands-on experience with data-centric methods for improving OCR models.

Hands-OnOnline

Handarbeitstreff

EventIn person
16:00Europe / Berlin
Attraktor e.V., Hamburg, Germany
Attraktor e.V. Hamburg - Your friendly makerspace!

🧵 Lust auf kreative Selbstverwirklichung, nette Gesellschaft und fachsimpeln? Dann komm zum wöchentlichem Handarbeitstreff im Attraktor Makerspace in Hamburg! 🎉 Donnerstags ab 16 Uhr stehen die Räumlichkeiten zur Verfügung. Alle sind herzlich willkommen. Menschen die Hilfe bei ihrem Projekt benötigen, denen empfehlen wir am Craft-Samstag zu kommen. Zu dem Termin sind verlässlich einige ExpertInnen die weiterhelfen können. Unser Maschinenpark, den du nach Einweisung für dein Projekt benutzen kannst, besteht aus: klassische Haushaltsnähmaschinen Coverlock-Maschine Stickmaschine Dampfbügelstation Schneideplotter Lasercutter Thermotransferpresse Siebdruckstationen eine Reihe von Flachstrickmaschinen (mit Rundkettler) 🧶 Langarm-Quiltmaschine Neben unseren Textilmaschinen stehen dir im Attraktor Makerspace auch unsere Holz-, Elektronik- und Metallwerkstatt zur Verfügung, um deine Maker-Träume wahr werden zu lassen! Im Anschluss an die Handarbeitstreffs findet unser offener Werkstattabend, der Basteldonnerstag, statt. Hier kannst du deinen handwerklichen Fähigkeiten freien Lauf lassen und die anderen Bereiche unseres Vereins kennenlernen. 🛠️🔩 In unserer Community findest du Menschen, die sich auskennen und ihre Leidenschaft für das Selbermachen gerne mit dir teilen. Wir glauben daran, dass Kreativität die Welt zum Besseren verändert. Wir freuen uns darauf, dich bei unseren Nähtreffen im Attraktor Makerspace begrüßen zu dürfen! 📅 Jeden Donnerstag 16 bis 19 Uhr. Gerne mit kurzer Voranmeldung hier oder unter textilwerkstatt@attraktor.org 📍 Attraktor Makerspace, Eschelsweg 4, Hamburg 💻 Erfahre mehr über uns und unsere Angebote auf unserer Website: https://blog.attraktor.org/

build fridays - work on your startup alongside other founders (bring laptop)

EventIn person
16:00Europe / Berlin
House of AI, Hamburg, Germany
AI BEAVERS | HAMBURG

!MAKE SURE TO REGISTER ON LUMA! \-\-\-\-\-\-\- build fridays hamburg every week, fridays, 4-11pm. bring your laptop. open door - come at what time you can. recommend not to miss 7pm intros what it is: a bi-weekly gathering for people building startups. come work on your thing alongside others doing the same. network while you actually ship. who comes: anyone thinking about starting something → actively building → startup veterans. from first-time founders to serial entrepreneurs. what happens: •⁠ ⁠build your product/project •⁠ ⁠demo what you shipped the last weeks •⁠ ⁠talk through your blockers •⁠ ⁠get help when you’re stuck •⁠ ⁠meet other builders why this matters: hamburg’s startup scene needs less powerpoint and more product. forget business plans and financial projections. inspired by silicon valley: build fast, break things, get users, iterate. free. just show up with your laptop ready to ship something. 🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫🦫 P.S. if your beaver brain loves building and hates selling, same. SAGEOBOT helps.

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.