Building AI Infrastructure from GPUs, Power, Networking, to cooling
Equip yourself with the knowledge and skills to effectively oversee and manage AI infrastructure initiatives within your organizations.
Building AI Infrastructure from GPUs, Power, Networking, to cooling Course Overview
Artificial Intelligence has rapidly evolved from a futuristic concept into the definitive infrastructure challenge of the modern enterprise. AI Infrastructure for Leadership is a two-day, intensive course designed to bridge the critical gap between executive strategy and the complex engineering reality of deploying AI at scale. To make informed decisions, leaders must first demystify the "black box" of the technology itself. This curriculum begins by grounding participants in the fundamental pillars of Data Science and Machine Learning, moving beyond the buzzwords to explore the mechanics of Generative AI, the evolution of the Transformer model, and the distinct differences between Deep Learning and traditional Neural Networks. By understanding the core learning paradigms and the intricacies of Natural Language Processing (NLP) pipelines, management and architectural teams will gain the necessary vocabulary to evaluate model integrity and align technical capabilities with business objectives.
However, the success of an AI initiative is rarely determined by code alone; it is defined by the hardware that powers it. The second half of this course shifts focus to the physical and logistical demands of the AI ecosystem. We dive deep into the specific infrastructure requirements that separate standard IT operations from high-performance AI computing, including the pivotal role of GPUs, the cost-value analysis of modern Tensorcore architectures versus CPUs, and the often-overlooked constraints of power and cooling in high-density environments. Participants will examine the massive storage throughput required to feed hungry models, the network design principles necessary to prevent bottlenecks at scale, and the complex trade-offs between Public Cloud flexibility and On-Premises control. By the end of this course, leaders will be equipped with a holistic view of the AI stack—from the environmental impact of training large models to the emerging trends defining the future of Edge AI—empowering them to build infrastructure that is not only powerful but sustainable and strategic.
Review this course online at https://www.alta3.com/courses/ai-leadership