AI Infrastructure and Operations Fundamentals
Interactive self-paced learning
$50 single course I $250 as part of Platinum membership
Course Duration 7 Hours
Artificial Intelligence, or AI, is transforming society in many ways. ​ From speech recognition to self-driving cars, to the immense possibilities offered by generative AI. AI technology provides enterprises with the compute power, tools, and algorithms their teams need to do their life’s work.​ Designed for enterprise professionals, this course provides invaluable insights into the evolving landscape of AI. Whether you're a seasoned professional or just beginning your journey into AI, this course is essential for staying ahead in today's rapidly evolving technological landscape.
We start the journey with an Introduction to AI where we cover AI basic concepts and principles.​ Then, we delve into data center and cloud infrastructure followed by AI operations.​
Introduction to AI: • AI use cases across different industries​ • The evolution of AI into machine learning, deep learning, and Generative AI, each phase unlocking new capabilities.​ • The emergence of generative AI applications, producing content like music, images, and videos.​ • How GPUs revolutionized AI?​ • The importance of a suitable software stack ensuring optimal performance and efficiency.​​ • The environments where AI workloads run - data centers or the cloud. ​ AI infrastructure: • Compute platforms, networking, and storage for AI.​ • How energy efficient computing practices helps data centers lower their carbon footprint and energy use.​ • How recommended design documents called reference architectures (RAs), can be used as a foundation for building best-of-breed designs. ​​ • Moving from an on-prem data center to cloud based solutions that offer a flexible and accessible alternative.​ ​ AI Operations:​ • Infrastructure management and monitoring​ • Cluster orchestration and job scheduling ​
Upon completion, you should be able to:  • Express how AI is transforming society. • Explain terminology and concepts related to AI. • Describe the evolution of GPU computing and its contribution to the AI revolution. • Evaluate the NVIDIA hardware and software solutions for AI. • Identify the data center infrastructure building blocks and their role in building an AI data center. • Recall AI in the data center operation tasks
• IT Professionals • System and Network Administrators • DevOps Engineers • Datacenter professionals 
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