AI for Science with AMD

 AI Training – January 19 – 22, 2027

This four-half-day program is designed for AI researchers, data scientists, and practitioners eager to optimize and scale AI workloads on AMD GPUs.

Program highlights:

  • Day 1 (Beginner): AMD GPU architecture, ML/AI environments, AMD AI Assistant.
  • Days 2–4 (Advanced): HIP-Python, CuPy, MPI4Py, RCCL, PyTorch, AI for science, LLM-assisted optimization, AMD profiling tools.
  • Combination of lectures, demos, and hands-on exercises using AMD Accelerator Cloud.

 

Audience: AI/data scientists from academia or industry.

Prerequisites:

  • Beginner: Python, compute environment basics.
  • Advanced: Linux, AI on HPC systems, profiling/optimization, hardware basics.

 

 Date: January 19 – 22, 2027 (afternoons CET)

 Format: Online: remote participants will access AMD infrastructures via the AMD Accelerator Cloud.
Mandatory registration 

 

 By the end of this training, participants will be able to run, scale, and optimize AI workloads on AMD GPUs using state-of-the-art frameworks and tools.

 

 

 Certificate of Participation
Participants who complete the training will receive an official Certificate of Participation, recognizing their participation in this AMD training program.

Pre-required logistics

Beginner: Python, compute environment basics.

Advanced: Linux, AI on HPC systems, profiling/optimization, hardware basics.