Why AI at a JavaScript meetup?
Because that’s where the real integration happens. Most companies aren’t training their own models. They’re using APIs. They’re building interfaces. They’re connecting LLMs to existing systems. And all of that lives in the web stack.
Our AI talks come from people building this in production: ChatGPT-style interfaces, RAG systems for documentation, AI agents for workflow automation. Not theoretical, practical.
Plus, Zurich has Google’s AI labs, ETH research, and AI startups. The knowledge is here. We’re just creating the space for web developers to access it.
Production-ready
Talks from people shipping AI features in real products. Not demos: actual implementation stories with lessons learned.
Web-first approach
OpenAI/Claude APIs, LangChain.js, vector databases, streaming responses: the stack web developers actually use.
Free events
All AI talks are free. Same non-profit model, same community funding. No barriers to learning this tech.
What AI looks like for web developers
We’re not training models. We’re integrating them. The practical reality of AI for most web developers is: call an API, manage prompts, handle streaming, deal with rate limits, build interfaces that users actually understand.
Our AI talks reflect that. They come from people who’ve debugged token limits at 2am. Who’ve figured out how to do RAG without blowing their budget. Who’ve built chat interfaces that don’t feel clunky. This is implementation knowledge, not hype.
What you’ll learn
LLM integration
- OpenAI API (GPT-4, GPT-3.5)
- Anthropic Claude API
- LangChain.js framework
- Prompt engineering
- Function calling
- Streaming responses
- Token optimization
Vector databases & RAG
- Pinecone integration
- Weaviate setup
- Embeddings generation
- Semantic search
- RAG systems
- Context retrieval
- Document Q&A
AI agents & automation
- LangChain agents
- Tool integration
- Multi-step reasoning
- AutoGPT patterns
- Workflow automation
- Agent monitoring
- Error handling
Browser ML & edge AI
- TensorFlow.js
- ONNX.js runtime
- WebNN API
- Client-side inference
- Model optimization
- Privacy-preserving ML
- WebGPU acceleration
Popular AI topics at ZurichJS
- Building ChatGPT-like interfacesCreate conversational AI applications with modern frameworks.
- RAG systemsImplement Retrieval Augmented Generation for context-aware AI.
- AI-powered code assistantsBuild developer tools with OpenAI Codex and GPT-4.
- Semantic searchVector embeddings and similarity search implementations.
- AI content generationAutomated content creation and summarization.
- Computer vision in the browserObject detection and image classification with TensorFlow.js.
- Natural language processingSentiment analysis, named entity recognition, text classification.
- AI ethics & best practicesResponsible AI development, bias mitigation, privacy.
AI tech stack we cover
LLM providers
- OpenAI (GPT-4, GPT-3.5)
- Anthropic Claude
- Google PaLM
- Cohere
- Hugging Face
Frameworks & tools
- LangChain.js
- Vercel AI SDK
- TensorFlow.js
- ONNX.js
- Transformers.js
Vector databases
- Pinecone
- Weaviate
- Qdrant
- Chroma
- Milvus
Who should attend?
- Web developersLearn to add AI capabilities to your applications.
- Full-stack engineersBuild end-to-end AI-powered features.
- Frontend developersImplement browser-based ML and AI interfaces.
- Backend developersIntegrate LLM APIs and manage AI workflows.
- Product managersUnderstand AI capabilities and limitations.
- Data scientistsBridge ML models and production web applications.
- AI enthusiastsExplore practical AI implementations with JavaScript.
Zurich’s AI ecosystem
Zurich is emerging as a major AI hub in Europe. ZurichJS connects with the broader AI community including ETH Zurich AI research, Google Zurich’s AI teams, and numerous AI startups. Our meetups bridge academic AI research with practical industry applications.
AI talks from past meetups
A few of the AI talks given at ZurichJS, with the evening they were part of.
- Agentic CommerceFaris Aziz · Apr 2026
- How to Build Reliable AI AgentsDavy Engone · Apr 2026
- Dumb Ways to Use AIFaris Aziz · Mar 2026
- What I learned from 600 hackers in a room, working with AIBogdan Ilie · Mar 2026
- Cross Platform Frontend Development with ClaudeCalum Gathergood · Jan 2026
- You’re Not Behind: Why Feeling Lost in AI Is NormalChristian Wörz · Jan 2026
Next meetups in Zurich
AI talks are part of the regular programme. Free to attend, in English, and fine to come alone.
Frequently asked questions
Are there AI and Machine Learning meetups in Zurich?
Yes! ZurichJS regularly features AI and Machine Learning talks focusing on practical JavaScript/TypeScript implementations. We cover topics like OpenAI API integration, LangChain, vector databases, RAG systems, AI-powered applications, and machine learning in the browser with TensorFlow.js. Our meetups welcome both AI enthusiasts and web developers looking to integrate AI into their applications.
What AI topics does ZurichJS cover?
ZurichJS covers practical AI implementation in JavaScript including: OpenAI & Anthropic API integration, LangChain.js, vector databases (Pinecone, Weaviate), RAG (Retrieval Augmented Generation), AI agents, ChatGPT plugins, prompt engineering, LLM fine-tuning, TensorFlow.js, ONNX.js, AI-powered web applications, and Edge AI.
Do I need AI experience to attend AI talks at ZurichJS?
No! Our AI talks cater to all levels. We feature beginner-friendly introductions to AI concepts, practical tutorials for integrating AI APIs, and advanced topics for experienced practitioners. Many talks focus on how web developers can leverage AI without deep ML knowledge.
How can I learn about AI development with JavaScript in Zurich?
Join ZurichJS meetups to learn from practitioners building real AI applications with JavaScript and TypeScript. Our speakers share practical experience with OpenAI, Anthropic Claude, LangChain, vector databases, and modern AI frameworks. We also host workshops on AI integration and best practices.
Join Zurich’s AI developer community
Learn practical AI development with JavaScript & TypeScript. Connect with developers building real AI applications.