About AI Shipping Labs
AI Shipping Labs is designed for action-oriented builders interested in AI engineering and AI tools who want to turn ideas into real projects. Whether you're learning Python or currently working as an ML engineer, this community gives you the structure, focus, and accountability to ship practical AI products.
Founders
Alexey Grigorev
Co-founder & ML Engineer
Software engineer and machine learning practitioner with 15+ years of experience building production ML systems. I focus on practical, production-grade ML and AI systems, from early prototypes to reliable systems in production.
I'm the founder of DataTalks.Club, a free community that connects tens of thousands of practitioners worldwide, and the creator of the Zoomcamp series, free, code-first programs that have reached 100,000+ learners globally.
At AI Shipping Labs, I'm building the kind of environment that would have accelerated my own career growth. After years of teaching at scale, I wanted something more focused: a space for action-oriented builders who want to turn AI ideas into real projects. The community gives members the structure, accountability, and peer support to ship practical AI products consistently, even alongside their main jobs.
Valeriia Kuka
Co-founder & Content Strategist
Content strategist and technical writer specializing in AI/ML education. I focus on making complex technical concepts accessible and helping builders learn through clear, practical content.
At AI Shipping Labs, I work alongside Alexey to shape the community's content strategy and member experience. I ensure that motivated learners have the resources, frameworks, and clear direction they need to make consistent progress on their AI projects. My goal is to help builders bridge the gap from ideas to shipped products by providing structure and removing friction from the learning-by-doing process.
Why AI Shipping Labs?
If you have AI project ideas but lack structure, focus, and accountability, this community is for you. Get clear frameworks, direction, and gentle external pressure to make consistent progress. Build alongside motivated practitioners who turn ideas into real projects and contribute back to the ecosystem.
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