Coursera Plus Annual is 40% Off — Ends June 29.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Linux Foundation

Building AI Workflows - From Local Experiments to Serving Users

Linux Foundation via YouTube

Start learning Write review
Babbel Ad

You’re only 3 weeks away from a new language

Learn More → Boot.dev Ad

The Fastest Way to Become a Backend Developer Online

Learn More →

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn how to transform local AI workflow experiments into production-ready applications in this 25-minute conference talk from the Linux Foundation's Open Source Summit. Discover a repeatable process for moving beyond simple LLM demonstrations with MCP tools and chat interfaces to create robust, deployable AI solutions. Explore practical strategies for overcoming common production challenges including privacy concerns, MCP command management, and OAuth flow debugging through containerized, static configurations. Master techniques for transitioning from local hacks to scalable applications while avoiding typical DevOps complications, whether you prefer chat interfaces or custom application UIs.

Syllabus

Building AI Workflows: From Local Experiments To Serving Users - Oleg Å elajev, Docker

Taught by

Linux Foundation

Tags

Reviews

Start your review of Building AI Workflows - From Local Experiments to Serving Users

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.