From Haiti to Edge AI: Building Privacy-First Learning Tools with Sebastien Fenelon

What if your classroom could adapt to each learner without handing their data to the cloud? That’s the promise we dig into with technologist and founder Sebastien Fenelon, whose journey from scarce resources in Haiti to building privacy-first, edge AI tools reframes what “future-ready” really means for educators and instructional designers.

We start with the power of resilience—how self-taught coding, late-night study sessions, and community support can outpace limited infrastructure—and move into practical strategies for teaching code with clarity and context. Sebastien shares why AI should compress project timelines, not critical thinking, and offers a simple “100-hour” ramp to acquire new languages fast. From K–12 to higher ed, we outline how to design small, visible wins that build confidence while using AI to scaffold learning rather than replace it.

We close with a playbook for staying adaptable: keep learning in focused sprints, plug into communities that share what works, and seek mentors who reveal the path behind the skills. If you’re ready to personalize learning, protect student data, and keep your curriculum uniquely yours, this conversation offers a clear blueprint. If it resonates, follow and share with a colleague, and leave a quick review to help more educators find thoughtful, practical guidance on AI in the classroom.

🔗 Website and Social Links:

Please visit Sebastien Fenelon’s website and social media links below.

Sebastien Fenelon’s Website

Sebastien’s Facebook Page

Sebastien’s Instagram Page

Sebastien’s LinkedIn Page

📢 Call-to-Action: If you’d like to dive deeper, be sure to visit the InthraOS homepage. There, you’ll find resources, guides, and a newsletter that will keep you ahead of the curve on AI and privacy-first technology. It’s a great way to gain practical insights, connect with a growing community, and explore products you can start using right away. 

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