Udemy - Build AI Agents with OpenAI Agents SDK - Text and Voice

Build AI Agents with OpenAI Agents SDK: Text & Voice

https://WebToolTip.com

Published 7/2026
Created by H. Emre Armagan
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 40 Lectures ( 6h 12m ) | Size: 3.7 GB

Build production AI agents with tools & MCP, multi-agent workflows, realtime voice, and eval-driven deployment

What you'll learn
⚡ Build and run text, streaming, voice, and realtime AI agents in Python with the OpenAI Agents SDK.
⚡ Extend agents with function tools, hosted tools, local runtime tools, web search, and MCP servers.
⚡ Design multi-agent workflows using specialist agents, agents as tools, handoffs, memory, and shared context.
⚡ Apply prompt engineering, context engineering, structured outputs, and model settings to improve agent behavior.
⚡ Add input and output guardrails, human approval, and configurable safety controls to agent workflows.
⚡ Build a production AI Travel Assistant with Chainlit, live progress updates, rich artifacts, and realtime voice.
⚡ Trace, evaluate, red-team, deploy, and monitor agents using Promptfoo, Hugging Face Spaces, and Langfuse.
⚡ Turn production failures into repeatable offline evaluation and regression test cases.
⚡ Build ChatKit applications and equip agents with sandboxed workspaces and reusable skills on demand.

Requirements
❗ Basic programming knowledge, including variables, functions, and classes; basic Python experience is helpful.
❗ No previous experience with AI agents, the OpenAI Agents SDK, MCP, Chainlit, or voice AI is required.
❗ A Windows, macOS, or Linux computer with permission to install Python 3.13, uv, Git, and a code editor.
❗ An OpenAI Platform account, an API key, and a small budget for API usage.