What you'll learn:
- Build production-ready AI agents with the OpenAI Agents SDK using agents, instructions, tools, and structured outputs
- Learn the foundation of OpenAI Codex Including. skills, agents md, plugins, job automations, thread heartbeats, worktrees, Computer and browser use
- Use OpenAI Codex as your AI coding partner to scaffold, build, test, and ship agent apps hands-on
- Master the agent loop: running agents, streaming, state, sessions, and conversation memory
- Orchestrate multi-agent systems with handoffs, guardrails, human review, and agents-as-tools
- Extend agents with hosted tools, function tools, MCP, and connectors to external systems
- Deploy realtime and voice agents to production with tracing, observability
Master the OpenAI Agents SDK and build production-ready AI agents from the ground up, then build every one of them hands-on with OpenAI Codex as your AI pair programmer. This comprehensive course takes you from your very first agent to deploying realtime, voice, and sandboxed multi-agent systems that integrate with real tools and external services.
Whether you're a Python developer stepping into agentic AI, or an experienced engineer who wants to ship reliable agents to production, this course gives you everything you need: the core SDK primitives, the patterns that make agents safe and observable, and a Codex-driven workflow that lets you build faster than ever.
What makes this course different: you don't just watch, you build. Every lab is constructed with OpenAI Codex, so you learn both the OpenAI Agents SDK and how to drive an AI coding agent to scaffold, implement, test, and ship real applications.
What You'll Learn includes OpenAI Codex, Core SDK & Agent Design:
Foundations – Understand what agents are, the agent loop, and how the OpenAI Agents SDK fits together
Threads and Approval Modes – Understand the anatomy of a Codex thread and control permissions safely
Multitasking and Worktrees – Run Codex across multiple projects and parallel git worktrees
GitHub and Cloud Environments – Repositories, GitHub CLI, and running Codex in the cloud
AGENTS md, Skills, and Memory – Teach Codex your conventions so it builds the way you want
Plan Mode and Goal Mode – Move from one-shot prompts to planned, goal-driven builds
Scheduled Jobs, Heartbeats, and Plugins – Automate recurring work and extend Codex
Voice, Dictation, and Remote Control – Drive Codex hands-free, and from your phone
Multi-Agent Workflows – Orchestrate several Codex agents working in parallel
Computer Use, Appshots, and Sites – Let Codex drive apps, capture UI, and publish sites
Image Generation – Generate visual assets directly inside your Codex workflow
Prompts & Structured Output – Write effective instructions and get typed, structured results you can rely on
Model Settings – Configure models, providers, and transport for the behavior and cost profile you need
RunContext & Dependency Injection – Pass typed context and dependencies cleanly into your agents
Run Loop, RunResult & the REPL – Run agents, stream output, inspect results, and iterate fast
Hosted & Function Tools – Extend agents with built-in tools and your own Python functions
Agents as Tools – Compose specialized agents by calling one agent from another
Guardrails & Human Review – Add input/output guardrails and human-in-the-loop control for safety
Sessions & Memory – Persist conversation state, and move beyond SQLite to production session storage
Handoffs & Multi-Agent Orchestration – Route work across multiple agents to solve complex tasks
MCP & Connectors – Connect agents to external systems through the Model Context Protocol
Monitoring & Tracing – Trace, monitor, and debug agent runs for full production visibility
Realtime & Voice Agents – Build realtime voice agents and chain multi-step voice workflows
Sandbox Agents – Master SandboxAgents: manifests, capabilities, providers, mounts, credentials, memory, and state composition
Bonus: AWS Bedrock AgentCore – Deploy an OpenAI agent to production on AWS
Hands-On Learning: 6 Production Labs Built with Codex
This isn't just lectures. You'll build real applications through comprehensive, step-by-step labs, each driven with OpenAI Codex:
Lab 0: Setup – Set up your environment and your Codex workflow so you can build along from day one
Lab 1: Basic Agents – Build your first working agents with instructions, structured output, and context
Lab 2: Multi-Agent Handoffs & Agents as Tools – Orchestrate multiple agents that hand off work and call each other as tools
Lab 3: SandboxAgents – Build a SandboxAgent with manifests, capabilities, and secure mounts
Lab 4: SQL Analyzer Agent – Build a complete capstone agent that combines function tools, structured output, and sessions to analyze data
Lab 5: Voice Agents – Build a realtime voice agent and a chained voice workflow
By the end, you'll be able to design, build, orchestrate, and ship production-grade OpenAI agents, and you'll have a repeatable Codex workflow to keep building long after the course ends.
