MC07: Hugging Face: Building an Open-Source Project
Event PAST

MC07: Hugging Face: Building an Open-Source Project

23 May Online

About this event

MC07: Hugging Face — Building an Open-Source AI Project

📅 May 23, Saturday
⏰ 4:30 PM GST
📌https://nas.com/artificialintelligence/events/mc07-c11

Ready to move from learning AI to actually building with it?
MC07: Hugging Face: Building an Open-Source Project is a hands-on masterclass under the AI Residency Program designed for aspiring

AI builders, developers, students, and professionals who want to create real-world AI applications using the powerful Hugging Face ecosystem.

In this interactive session, you’ll learn how to:
✨ Discover and use state-of-the-art open-source AI models
✨ Work with Hugging Face datasets and tools
✨ Understand fine-tuning fundamentals for AI applications
✨ Deploy AI projects and share them with the world
✨ Build portfolio-ready, community-driven AI solutions
✨ Explore best practices in open-source AI collaboration

Whether you're starting your AI journey or looking to level up your skills, this masterclass will help you gain practical experience in transforming ideas into deployable AI projects.

🔥 Join the AI Residency Program and start building impactful open-source AI projects with Hugging Face.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 DevFound.ai. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.