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Builder Bootcamp

Builder Bootcamp
# Developers & Builders
# Codex
# OpenAI API
# Advanced & Builder Skills
# Work

A virtual event series for builders learning to design, build, and optimize production-grade AI applications with OpenAI.

April 22, 2026 · Last updated on June 12, 2026
Builder Bootcamp

Series overview

Builder Bootcamp is a live virtual series designed for builders and technical teams who want to learn how to design, build, and optimize production-grade AI applications with OpenAI. This second Builder Bootcamp series builds on our first run with refreshed content, supporting codebases, demos, and labs.
This page is the central hub for the June/July Builder Bootcamp live sessions. Learn more about the series, topics, and register for the events below. We’ll continue running Builder Bootcamp programming on a recurring monthly cadence, with dedicated tracks for deeper topics like Codex coming separately.

What to expect

  • Live sessions focused on practical building patterns and workflows
  • Refreshed guidance on designing and deploying production-grade AI applications
  • Deep dives into topics including Agents, Codex, Evals, RAG, and production & optimization
  • Supporting codebases, demos, and labs to help you keep building after each session
  • Opportunity to learn directly from OpenAI teams and receive a Builder Bootcamp badge if you attend all five sessions

Who should attend

Builder Bootcamp is intended for technical builders, developers, platform teams, application teams, and engineering teams looking to go deeper on real-world AI implementation with OpenAI.

Upcoming sessions

Check out and register for our live sessions below. Attendees who attend all five sessions will have the opportunity to receive a Builder Bootcamp badge.

Agents (June 18)

  • Build reliable agents with tools, handoffs, guardrails, and evals.

Codex (June 25)

  • Use Codex to plan, build, validate, and ship code faster.

Evals (July 9)

  • Learn how to design and run evals for real-world AI applications.

RAG (July 16)

  • Build grounded AI applications with File Search, retrieval, and evals.

Production & Optimization (July 23)

  • Optimize AI systems for quality, latency, cost, and production readiness.
Table Of Contents
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