Using Artificial intelligence software and also deploying it is becoming more and more relevant. This is also true for deploying models in an HPC system and offering it as a service.

• Explain the function and design of intelligent agents in HPC-based AI systems and investigate scalability.
• Summarize techniques for fine-tuning AI models, considering performance and resource constraints.
• Describe the requirements and challenges of hosting AI models in HPC or hybrid infrastructure.
• Explain the principles of resource-aware AI deployment, including compute, memory, and energy considerations.
• Summarize techniques used in different models for processing and deployment.
• Identify key regulatory and legal frameworks relevant to AI usage and data handling and also identify principles of responsible AI use.
• Explain how retrieval-augmented generation improves accuracy and grounding in generative systems.
• Describe how AI services are developed and delivered via APIs.

• AI1 AI System Design and Deployment
• AI2 Engineering and Infrastructure
• 3
• 4
• AI5 Intelligent Interactions and Retrieval Systems
• AI6 AI Services

Caution: All text is AI generated