• views: 206
• date: 4 June 2025
• posted by: voska89

What you'll learn
Understanding of OpenAI Agent SDK framework
Learn to build Single & Multi agents using OpenAI Agent SDK
Understanding of common agentic patterns
Develop practical AI workflows
Requirements
Familiarity with Python and OpenAI API
Description
Step into the world of OpenAI Agent SDK with this beginner-friendly course, designed to help you grasp foundational concepts without venturing into advanced multi-agent application development. Ideal for individuals new to the OpenAI Agent SDK, this course assumes basic familiarity with Python programming and the ability to set up OpenAI API keys. These prerequisites will ensure you gain the maximum benefit from the content covered.Learn the fundamental building blocks of the OpenAI Agent SDK framework, including the essentials of single-agent systems, efficient context management, and handling structured outputs. Explore how to work with open-source models and leverage prebuilt solutions while avoiding overly complex architectures. This practical approach to learning ensures that you can focus on understanding the tools and techniques necessary to start building intelligent AI systems.In addition, the course introduces critical patterns and workflows, such as ethical guardrails for AI applications, input validation, and real-world integrations. Designed for learners who want to master the basics, it emphasizes clarity, practicality, and accessibility for developers at the initial stages of their AI journey.By the end of this course, you will have a solid understanding of the core functionalities of the OpenAI Agent SDK and the confidence to apply these concepts to real-world scenarios. Take your first step into the realm of modern AI technologies with this empowering and beginner-friendly experience.
Overview
Section 1: Getting Started
Lecture 1 Single, Multi Agents & Handoffs
Section 2: Tools & Getting Structured Output
Lecture 2 Tools & Structured Output
Section 3: Context Management
Lecture 3 Context Management
Section 4: Guardrails
Lecture 4 Introduction to Guradrails
Lecture 5 Input Guardrails
Lecture 6 Output Guardrails
Section 5: Integration with MCP ( Model Context Protocol)
Lecture 7 Introduction & Custom MCP Servers
Lecture 8 MCP Client + Custom MCP Server
Lecture 9 MCP Client + Prebuilt Custom Server
Section 6: Integration with other Models
Lecture 10 Integrate Open Source Models
Lecture 11 Connect with AzureOpenAI
Section 7: Common Agentic Patterns
Lecture 12 Introduction
Lecture 13 Sequential Workflow
Lecture 14 Agents as Tool
Lecture 15 Handoff & Routing
Lecture 16 Parallel Workflow
Beginner genai developers curios in building agentic applications

Homepage

https://www.udemy.com/course/mastering-basics-of-openai-agent-sdk-framework/

t2.rar.html




   
   
   

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