with Hands-on Lab Powered by AMD Hardware
If you are not enrolled in the module, please register to attend the seminar.
Register for Seminar →
Building trustworthy and capable agentic AI systems requires a foundation of open innovation, scalable compute, and transparent design principles. In this workshop, we explore how open-source initiatives — with AMD as a key driver — are accelerating the development of autonomous AI agents. We will highlight how AMD's latest Agent Computers, with integrated GPUs, provide optimized on-device compute for real-time inferencing and agentic workloads.
We will also explore how we got from token generation to AI Agents. We will refresh the basics of context engineering and RAG systems. Then we will dive deeper into AI Agents and their fundamental components (model, orchestration and tools). Using the AUP Learning Cloud you will run hands-on labs to cement these concepts.
Dr. Mario Ruiz is a Senior Member of Technical Staff in the AMD University Program, where he supports academics in adopting the latest AMD tools and technologies. He manages the Heterogeneous Accelerated Compute Cluster and brings over 10 years of experience designing high-performance FPGA and SoC implementations. For the past six years, he has worked closely with academics and researchers to maximize performance and efficiency with AMD and Xilinx technologies through direct support and training.
Before joining AMD, Mario earned his Ph.D. from the Autonomous University of Madrid, where his research focused on High-Level Synthesis for high-speed networking. His expertise spans electronics, digital design, and computer architecture, with a strong interest in heterogeneous accelerated computing.
TBC
