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LinkedIn – OpenAI API: Agents 2025-4

Updated August 10, 2026 102 MB
LinkedIn – OpenAI API: Agents 2025-4

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Description

OpenAI API: Agents Course. This course covers the development of AI agents using the OpenAI API and Python SDK Agents. Participants learn how to build intelligent agents that can map and execute complex multi-step tasks based on user requests, leveraging the platform’s comprehensive capabilities, including models, tools, knowledge, memory, voice processing, guard mechanisms, orchestration system, and MCP protocol. All of these capabilities can be customized to meet specific needs. The training is delivered through video content, articles, and hands-on exercises in GitHub Codespaces, where learners create custom agents, deploy executors, configure task delegation for collaboration between agents, add guard elements for content moderation, and extend agent capabilities using OpenAI’s pre-built features, custom functions, and MCP servers.

What you will learn

  • Definition of what Python SDK Agents from OpenAI API are and how they work.
  • Description of the agent lifecycle, including agents, executors, task delegation, and moderation.
  • Extend agents with custom tools through function calling.
  • Building OpenAI agents that use MCP servers.

This course is suitable for people who:

  • Software developers looking to create advanced AI-based applications.
  • AI engineers who want to use the capabilities of OpenAI agents to solve complex problems.
  • Students and researchers interested in understanding and applying the architecture of artificial intelligence agents.
  • Professionals who need to automate multi-step tasks using Large Language Models (LLMs).
  • Those who plan to add custom tools and security restrictions (guardrails) to AI agents.

OpenAI API: Agents Course Details

Course topics

OpenAI API: Agents

Course images

OpenAI API: Agents

Sample course video

Installation Guide

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Subtitles: English

Quality: 720p

Download link

Downloadly

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Rapidgator link

Download File – 102 MB

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File size

102 MB