Cohort 2

Senior Software Engineering Manager

Colleen McGuckin

Product managers who drive strategy, development, and launch of products.

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.

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

Build the core systems yourself. Diagnose failures, make tradeoffs, and develop engineering judgment that outlasts today’s frameworks.

Author of the Common-Sense Guide Series

Jay Wengrow

Author of A Common-Sense Guide to AI Engineering, Software Engineer and Educator

Common-Sense AI Engineering: Build LLM Apps & Agents from the Ground Up

Actualize

<h3>Why I enrolled</h3>
<ul class="list-disc ml-8"><li><p class="p2-tall">understand llms better</p></li><li><p class="p2-tall">understand evals and how to test output from models</p></li><li><p class="p2-tall">build cool stuff</p></li><li><p class="p2-tall">have fun</p></li></ul>
<p></p>

<p></p>
<h3>What I’ll apply</h3>
<p class="p2-tall">Agentic workflows, evals, and the tiny tool approach</p>
<p></p>

Certificate

Learn more about this course