Uploaded April 2026 | Updated September 2026, 2 weeks ago

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This workshop by Mahdi Ghodsi, AI Solution Architect at AMD, & Eda Zhou, Software Development Engineer at AMD, shows developers how to build a personal AI agent from the ground up; without recurring API costs or third-party dependencies. Using open-weight models hosted on AMD GPUs and agentic frameworks like OpenClaw, you’ll learn to assemble a tool-using agent that’s customizable, private, and built for real workflows.

In this session, you’ll learn to:
- Host and run open-weight LLMs on AMD GPUs to reduce API costs and maintain full control over your stack.
- Build a tool-using AI agent using modern agentic frameworks, ready for production workflows.

Speakers:
Mahdi Ghodsi | AI Solution Architect | AMD : linkedin.com/in/mahdi-ghodsi-vancouver

Eda Zhou | Software Engineer | AMD : linkedin.com/in/edazhou
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