Winter/Spring 2026

Professor

Vishal Sachdev

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

Setting strategic direction, making high-stakes decisions, and translating vision into execution.

Designing scalable, reliable software systems — architecture patterns, distributed systems, and technical tradeoffs.

How to think through AI problems end-to-end: scoping, debugging, and knowing when to pivot.

AI Engineer with 10+ years of experience

Hugging Face

DataRobot

Contextual AI

Snowflake

Snorkel AI

Rajiv Shah

Agentic AI Engineer at OpenHands

AI Problem Framing for AI Practitioners

<h3>Why I enrolled</h3>
<p class="p2-tall">My Goal is to refine my thinking around breaking down problems in a way that allows for human and AI hybrid teams to work effectively to augment human output, while maintaining human agency and dignity. <br>And teach others. </p>
<p></p>

<p></p>
<h3>What I’ll apply</h3>
<p class="p2-tall">better evaluations in the projects I lead </p>
<p></p>

Certificate

Learn more about this course