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Course Description

Welcome to our immersive AI technology workshop series. During these sessions you will be introduced to new and established AI tools that will help you create and manipulate content in new and powerful ways. Each session is led by an industry expert who will guide you through the material and share its real-world implications.

As organizations face an explosion of AI-generated data and decision-making tasks, many find that legacy compute, networking, and storage in traditional data centers (DCs) quickly become bottlenecks. With global AI infrastructure investment exceeding $1 trillion, modern AI workloads demand powerful GPU-based systems that deliver predictable performance, scale across distributed architectures, and securely manage business-critical data. This workshop explores the infrastructure foundations required to support reliable, scalable, and secure AI applications in today's enterprise environments.

Learning Outcomes   
By the end of the workshop, participants will be able to:

• Describe how AI-centered data centers (AI Factories) differ from legacy data centers, including their compute, storage, networking, and hardware/software components.
• Explain the new AI-driven workloads generated by users and compare them with traditional data center workloads.
• Demonstrate the ability to effectively compare and analyze various user workloads in AI-powered data center environments.

Topics Include

• AI factories vs. legacy data centers
• AI-driven Workload Characteristics
• Scalable GPU infrastructure
• Data management and security for AI
• Workload analysis and benchmarking

Skills Needed:

Students should have a fundamental understanding of computers, networks, and storage, along with basic knowledge about AI and how it is used in everyday life.