Building AI-Native Products

How to Build Agents with the OpenAI Agents SDK

Hosted by James Gray

158 students

What you'll learn

Agent design patterns

Gain foundational knowledge of agent components and two multi-agent orchestration patterns.

Build a multi-agent system

Learn the steps to design and configure a multi-agent system using the OpenAI Agents SDK and Python.

A live demonstration of a multi-agent system

Observe execution and tracing of a multi-agent system to evaluate agent interaction, inputs and outputs.

Why this topic matters

Agent expertise is scarce and lucrative. Master the OpenAI Agents SDK to uncover the wiring no-code hides and design, debug, and scale multi-agent workflows that turn bold ideas into autonomous systems across industries. Leaders who apply these agent fundamentals will shape the intelligence economy.

You'll learn from

James Gray

Data and AI Strategy Instructor, Berkeley Haas School of Business

James Gray runs a Data and AI venture focused on consulting, fractional leadership, learning experiences, and coaching.

In addition to his work with organizations, James teaches data and artificial intelligence strategy at the Berkeley Haas School of Business.

Over the past 30+ years, he has held CIO, CPO, data scientist, and product management roles at leading organizations like Microsoft. He has extensive experience building data and AI platforms.

James earned a Master of Data Science and MBA at UC Berkeley and a BS in Electrical Engineering from Union College. He is also certified by Brown University as a Leadership and Performance Coach.

Worked At and Clients

Microsoft
Amazon Web Services
Capital One
Google
GitHub
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