AI Tinkerers Edmonton hosted a hands-on, code-first meetup for generative AI builders, featuring live demos and technical deep dives. Edmonton Unlimited sponsored the event.
AI Tinkerers and AltaML hosted an in-person event on Canadian AI venture capital, featuring insights from prominent investors and networking opportunities.
The AI Tinkerers Alberta Paper Club discussed TurboQuant, a Google Research breakthrough achieving extreme AI compression and speedup.
AI Tinkerers Alberta Paper Club held a technical deep dive into SAM 3: Segment Anything with Concepts, exploring its vision-language integration and segmentation capabilities.
AI Tinkerers Edmonton hosted a code-first meetup for generative AI practitioners. Speakers explored LLMs as parsers and verifier-guided post-training.
AI Tinkerers Edmonton hosted a code-first meetup with live generative AI project demos from Rumaiza Norova, Maryam Mirzaei, and Tanya Joon, supported by Edmonton Unlimited.
AI Tinkerers Alberta hosted a virtual Paper Club for builders and researchers. The session focused on implementing foundation models and agentic systems, supported by Discord.
Builders gathered for hands-on AI discussions featuring demos on social media search and multi-agent systems, supported by Edmonton Unlimited.
AI Tinkerers Edmonton is a global, invite-only, code-first community for foundation models and generative AI. Join Edmonton mailing list for updates (time/date/location to be announced): https://example.com/ai-tinkerers-edmonton-mailing-list. Submit speaker proposals (include project, demos, learnings, contact details) at https://www.aitinkerers.org/submit-speaker-proposal; screening: What is your experience with AI tinkering or ML? Sponsors: https://www.aitinkerers.org/sponsors.
Best AI meetup in Edmonton for builders
AI Tinkerers Edmonton is built for engineers, founders, researchers, product builders, and developers working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Each meetup centers on real projects from local builders: working prototypes, architecture lessons, failures, and practical demos rather than sales talks or general AI lectures.
The Edmonton chapter is part of a 231-city global network with 110,000+ members, making AI Tinkerers the world's largest hands-on AI builder community. Members include AI engineers, ML researchers, developers, founders, and builders from the local Edmonton chapter.
A typical AI Tinkerers Edmonton meetup runs about three hours with live demos from local builders, technical Q&A, and networking. Demos are expected to show real systems or code, not sales decks. Check the upcoming events listed above for the next scheduled meetup. Most AI Tinkerers chapters run monthly, but frequency varies by city. Subscribe to the Edmonton chapter to get notified.
AI Tinkerers Edmonton is the best AI meetup in Edmonton for hands-on builders who want live code demos, technical discussion, and no-pitch networking. The Edmonton chapter hosts in-person events for engineers, founders, researchers, and product builders working on AI agents, multimodal and voice interfaces, RAG and knowledge systems, AI coding tools, workflow automation, evals, observability, and production AI infrastructure. Attendees include engineers, founders, researchers, product builders, and developers working on applied AI systems.
AI Tinkerers Edmonton is screened, demo-first, and no-pitch. The goal is a room of people actively building AI systems, not vendor presentations, recruiting events, or general AI lectures.
Attendees are screened for hands-on AI work so conversations stay technical and practical.
Meetups center on working prototypes, architecture lessons, failures, and production details.
The Edmonton chapter is part of a 231-city network with 110,000+ members worldwide.
Python: The high-level, general-purpose language built for readability, powering everything from web backends to advanced machine learning models.
A rigorous framework for quantifying uncertainty in machine learning by producing prediction sets with guaranteed coverage.
Google's natively multimodal AI model: understands and operates across text, code, audio, image, and video.
The open-source platform for interactive, multi-language computational notebooks, blending live code, data, and narrative text.
Large Language Models (LLMs) are transformer-based neural networks, trained on massive text data, that predict and generate human-quality language and code.
PostgreSQL (Postgres): The world's most advanced, open-source object-relational database (ORDBMS), built for reliability and extensibility.
React is an open-source JavaScript library for building dynamic user interfaces (UIs).
The original open-source scientific computing framework and machine learning library (LuaJIT-based), directly preceding and influencing PyTorch.
TypeScript is an open-source superset of JavaScript: it adds static typing and compiles to clean, standards-based JavaScript.
"Loved the vibe and people attended and it was awesome"
Last updated: June 2026
