As AI systems become more capable, the next leap is in building systems where multiple agents work together—collaborating, delegating, and reasoning across tasks. This hands-on course introduces the OpenAI Agents SDK, a powerful framework for developing such systems using modular, tool-enabled agents with memory and orchestration capabilities. You’ll learn how to design agent workflows, manage interactions, and implement real-world use cases like planners, assistants, and autonomous pipelines. Whether you’re an AI engineer, developer, or researcher, this session will help you understand the practical foundations of agentic systems and how to use them for building intelligent, multi-agent applications using the latest LLM infrastructure.
$19.99
Material Includes
Video Tutorial
Handout Notes
Codes for Practice
Practice Quiz
Certificate
What I will learn?
Understand the core components like agents, tools, and guardrails.
Learn how to create specialized agents for different tasks and have them collaborate through handoffs.
Discover how to use guardrails to validate user input and ensure the workflow stays on track.
See how to equip agents with custom tools to access external data sources or perform specific actions.
Gain practical experience in structuring and running a complete multi-agent system from start to finish.
Course Curriculum
Multi-Agent Orchestration with OpenAI SDK
Hands-On Workflow-Building with OpenAI SDK
02:00:00
Handouts – All you need to know about Agentic Systems
Conceptual Understanding of Agent
Code for Practice
Link to GitHub Repository
Self-Assessment
Test your understanding
Student Ratings & Reviews
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