Browse Lessons

Vector Search Breakdown // Dave Bergstein // Coffee #52 short clip

LinkedIn Job Recommendations // Alexandre Patry // Coffee Sessions #60

End to End MLOps Basics // Raviraja Ganta // MLOps Meetup #82

Federated Learning / Distributed Learning // Sahbi Chaieb // Coffee #51 short clip

Feast Feature Store Deep Dive // Felix Wang // MLOps Meetup #81

Doing MLOps // Noah Gift // MLOps Meetup #80

How mlctl Helps Intuit's Workflow // Srivathsan Canchi // Coffee Sessions # 50 short clip

Data Selection for Data-Centric AI: Data Quality Over Quantity // Cody Coleman //Coffee Sessions#59

10 Types of Features your Location ML Model is Missing // Anne Cocos // Coffee Sessions #58

Three Categories of SGT // Alex Chung // Coffee #50 short clip

The Future of ML and Data Platforms // Michael Del Balso - Erik Bernhardsson // CoffeeSessions #57

Managing Outcomes Generated by Data Scientists // Stefan Krawczyk // Coffee Sessions #49 short clip

Importance of Platform // Julien Chaumond // Coffee Sessions #48 short clip

A Few Learnings from Building a Bootstrapped MLOps Services Startup//Soumanta Das//CoffeeSessions#56

Engineering Best Practices for Machine Learning // Alex Serban // MLOps Meetup #79

Learning and Teaching MLOps Applications // Salwa Muhammad // MLOps Coffee Sessions #55

System Design for Recommendations and Search // Eugene Yan // MLOps Meetup #78

Make deep learning more accessible // Jeremy Howard // Coffee Sessions #47 short clip

Moldable Development with Glamorous Toolkit // Tudor Gîrba // MLOps Meetup #77

Machine Learning SRE // Niall Murphy // MLOps Coffee Sessions #54

Vector Similarity Search at Scale // Dave Bergstein // MLOps Coffee Sessions #52

Building Machine Learning Models into Docker Images // Luke Marsden // MLOps Meetup #76

SGT Working Group Aug 24, 2021 - mlctl and hydrosphere Open Source MLOps Libraries Demo

What MLOps Has Taught Me // Ewan Nicolson // MLOps Meetup #75

ML Security: Why should you care? // Sahbi Chaieb // MLOps Coffee Sessions #51

Maintainability in Diversity // Pablo Estevez // Coffee Session #46 short clip

Creating MLOps Standards // Alex Chung and Srivathsan Canchi // MLOps Coffee Sessions #50

Aggressively Helpful Platform Teams // Stefan Krawczyk // MLOps Coffee Sessions #49

Building an ML Platform from Scratch: Live Coding Session - Part 2 //Alon Gubkin // MLOps Meetup #74

Production and Development Responsibilities // Diego Oppenheimer // Coffee Sessions #45 short clip

Three Blocks of MLOps Modular Level // Emmanuel Raj // Meetup #69 short clip

Core Use Cases of Seek // Grant Wright // Coffee Session #44 short clip

The SAME Project: A Cloud Native Approach to Reproducible ML // David Aronchick // MLOps Meetup #73

SGT Model Deployment Working Group

Tour of Upcoming Features on the Hugging Face Model Hub// Julien Chaumond //MLOps Coffee Sessions#48

Shadow IT/Shadow MLOps/Shadow DevOps // Korri Jones // Meetup #68 short clip

Building ML Blocks with Kubeflow Orchestration with Feature Store //Aniruddha Choudhury// Meetup #72

Orchestrating Spark Jobs with Kubeflow // Sadik Bakiu // MLOps Meetup #71

Model serving platform // Kyle Gallatin // Coffee #43 short clip

Fast.ai, AutoML, and Software Engineering for ML // Jeremy Howard // Coffee Session #47

Learning from 150 Successful ML-enabled Products at Booking.com // Pablo Estevez // Coffee Ses'n #46

Take a risk or stay safe? // Alfredo Deza // Meetup #66 short clip

Machine Learning in Cybersecurity // Monika Venčkauskaitė // MLOps Meetup #70

Enterprise Security and Governance MLOps // Diego Oppenheimer // MLOps Coffee Sessions #45

Autonomy vs. Alignment: Scaling AI Teams to Deliver Value// Grant Wright //MLOps Coffee Sessions #44

How Pinterest Powers Image Similarity // Shaji Chennan Kunnummel // System Design Reviews #1

Engineering MLOps // Emmanuel Raj // MLOps Meetup #69

Control Theory // Amit Paka // MLOps Coffee Sessions #42 short clip