Mastering Basics Of Openai Agent Sdk Framework

Discover the fundamentals and key functionalities of the OpenAI Agent SDK framework.

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