Our Mission

At the Applied Machine Learning Collective (AMLC) of the Rockies, we operate like a modern guild—where newcomers learn from journeymen, journeymen sharpen skills alongside experts, and everyone works on real problems that matter. We’re all about getting into the technical details, showing working code, and handing down the groundwork so other builders can learn, contribute, or build it themselves.

What We Are Looking For

Demos, Code, & Tools: The name of the game is practical implementation. We prioritize talks centered on working demos, open repositories, architectures, and real toolchains over high-level overview slides or commercial sales pitches.
Deep Technical Focus: Don't shy away from going deep or using proper domain jargon! This is a space for technical folks to do technical work.

Prerequisites & On-Ramps: While we embrace technical depth, we ask speakers to clearly identify the required level of expertise up front and provide learning pathways (e.g., repos, documentation, or background reading) so attendees can get up to speed.

Groundwork for Others:  The best sessions leave the community with actionable takeaways—groundwork, code bases, or frameworks that enable others to build upon what you’ve built or recruit contributors to join your project.

Abstract & Description Checklist

When filling out your Sessionize submission, ensure your outline answers these core points:

The Technical Problem: What real-world implementation, architecture, or workflow challenge did you face?

The Deep Dive: What code, tools, models, or algorithms did you use to solve it? (Highlight any live demos or code you plan to share).

Target Audience & Prerequisites: Who is this talk for, and what background knowledge should they bring to get the most out of it?

Takeaways & Resources: What wisdom, code, or documentation will attendees walk away with to continue learning or building on their own?

Speaker Recognition

Speakers earn recognition across our regional network, a digital speaker badge for their professional profile, and the opportunity to recruit local talent to support open AI/ML initiatives. We look forward to reviewing your proposal!