OpenAI Agents SDK Mastery Journey in Python | CodeSignal Learn

intermediate

OpenAI Agents SDK Mastery Journey in Python

Software Engineering

4 courses

72 practices

9 hours

Master agentic AI by building context-aware, tool-empowered agents with the OpenAI Agents SDK in Python. Progress from running your first agent to coordinating multi-agent workflows, integrating custom tools, securely managing sensitive data and enforcing safety guardrails.

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Earn a shareable

Certificate of Achievement

Verified skills you'll gain

DEVELOPING

Tool Integration and Action Execution

INTERMEDIATE

Multi-Agent Systems and Coordination

DEVELOPING

AI Safety and Alignment

Tools you'll use

Model Context Protocol

OpenAI

Pydantic

Python

Trusted by learners working at top companies

Course 1

Getting Started with OpenAI Agents in Python

4 lessons

19 practices

Kick off your journey with the OpenAI Agents SDK by learning how to run your first agent, explore its results, and format outputs effectively. This course also introduces asynchronous and streamed execution to give you flexibility in building responsive applications.

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Course 2

Coordinating OpenAI Agents Workflows in Python

4 lessons

19 practices

Learn how to build more complex workflows by coordinating multiple agents. This course covers techniques like multi-turn conversations, chaining agent executions, delegating tasks using handoffs, and customizing input flows.

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Course 3

Integrating Tools into OpenAI Agents in Python

4 lessons

15 practices

Enhance your agents with powerful tools. This course shows how to use OpenAI-hosted tools, create your own function tools, treat agents as tools, and integrate external tools from an MCP server.

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Course 4

Controlling and Securing OpenAI Agents Execution in Python

4 lessons

19 practices

Keep your agents secure, private, and reliable. This course covers safely handling sensitive data, using hooks to monitor and customize agent workflows, and applying guardrails to validate and filter all agent inputs and outputs.

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