Instructor-Led Training
Training and Deploying Open-Source LLMs on Bare Metal
Build AI applications with open-source LLMs and learn how to deploy and work with modern models securely using Python, vLLM, and GPU-accelerated labs.
Training and Deploying Open-Source LLMs on Bare Metal
Learn how to write practical AI applications via hands-on labs. You will design, develop, and optimize Transformer models, ensuring data security in your work. The course covers core AI transformer architectures, Python programming, modern GPU hardware requirements (Hopper/Blackwell), and high-performance training and serving techniques like QLoRA fine-tuning and FP8 quantization using modern open-source LLM frameworks and GPU-accelerated environments.