Cohort 1

Founder

Joel Damiani

Engineers and engineering leaders who build, deploy, and scale software systems.

Data scientists who apply statistical and ML techniques to extract insights from data.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building, training, and deploying machine learning models — from classical ML to deep learning.

Using AI coding assistants and tools to write, review, and ship code faster.

Work through an ETF strategy from idea to a realistic trading simulation

Founder, Applied AI · Author, ML4T

Stefan Jansen

Builds production ML and agent systems, then teaches the operating method.

ML for Trading in the Age of AI Agents

<h3>Why I enrolled</h3>

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<h3>What I’ll apply</h3>
<p class="p2-tall">Point-in-time data discipline, HAC-corrected evaluation judged on the slice I actually trade and against simple benchmarks, and spec-first coding-agent workflows with checkpoints. I'll apply all three to my futures research and to testing non-price data.</p>
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Certificate

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