MLSecOps Lab: Boeing x WIC x UW

Welcome to the MLSecOps Lab

We are a group of four graduate students from the University of Washington, Information Management Class of 2026, and this lab is designed to guide you through the core concepts and practical applications of MLOps.

This lab is developed in collaboration with Boeing, working closely with Jared, Uzma, and Geetha, and supported by the Women in Cloud (WIC) team.

Our goal is to provide a hands-on, structured learning experience that bridges academic foundations with real-world MLOps practices used in industry.

Learning Path

Explore the topics below to build your MLOps expertise from foundations to production deployment. Pick a tile to start that mission — or work through them in order.

🎲 Your MLSecOps Lab Journey

Roll through 8 stops to ship a secure, production-grade ML system. Click any tile to start that mission. Your progress is saved on this device.

0 / 8 missions complete

🎯 Key Missions

  1. Infrastructure & Pipeline Setup (Azure + Terraform)
  2. Dataset Exploration with NYC Taxi Data
  3. Supervised & Unsupervised ML Foundations
  4. Monitoring, Drift Detection & Retraining
  5. Security, RBAC & Reproducibility
UWBoeingWomen in Cloud

MLSecOps
BOARD GAME

Choose any mission and begin your practice. Tiles marked ★ are hands-on labs.

START Core Mission ★ Side Quest / Lab FINISH

Getting Started

New to MLOps? Start with the Need for MLOps page to understand why production ML systems fail without proper engineering practices. Then work through the modules in order — each one builds on the last.

Need for MLOps →

Going Forward

Finished the lab? The Going Forward & Endnotes page reflects on everything you’ve built, points to advanced topics, and provides further reading for deepening your MLOps expertise.

Going Forward →

About This Lab

This lab uses the NYC Taxi dataset as a real-world example throughout all modules. You’ll learn how to build, deploy, monitor, and maintain ML systems that predict trip duration and fare amounts — just like production systems at scale.

Our Team

UW Team

  • Shakshi Gandhi
  • Vinod Kamat
  • Arohi Narang
  • Sneha Reddy

Boeing Mentors

  • Jared
  • Uzma
  • Geetha

Supported by

  • Women in Cloud (WIC)
  • University of Washington MSIM Program
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