Hello Everyone,

Welcome to this week’s MLSysBook community update, where we share progress, tools, and opportunities to help build the discipline of AI engineering together. This week, we’re spotlighting the hardware kits that power hands-on learning and inviting you to see student systems in action at our upcoming TinyML Show & Tell.

Tune in to this month’s Show & Tell via the Google Meet link

📅 Thursday, February 26 at 9am EST, 2pm GMT

🇨🇴 Featuring presentations from students in Colombia

🛠️ Each presentation is 10-15 minutes and focused on real, applied systems work

For students: If you want to share your TinyML project, we would love to see you at a future Show and Tell. These sessions are designed to give you a pedestal to present your work, explain your systems decisions, and engage with a global audience.(Register here)

Many educators and students ask the same question: where do we begin if we want to build real TinyML and Edge AI systems?

We have curated a small set of hardware kits that we recommend for hands on coursework, research, and student projects. You can find them here:

These kits are designed to expose learners to the realities that define AI engineering in practice including memory limits, latency constraints, power considerations, and deployment tradeoffs. They are well suited for TinyML and Edge AI courses, capstone projects, and research prototypes.

For educators: If you are teaching and would like guidance on getting started, simply reply. For those in the global south, you may apply for kits here.

If you would like to sponsor a kit for a student or institution that cannot afford one, your support will fund under resourced educators and learners and help expand access to practical AI engineering education worldwide.

Thank you for being part of this growing global AI Engineering community.

Kari Janapareddi

Director of Partnerships and Strategic Operations
MLSysbook.ai Community