Introduction to AI in the Data Center

Course Cover

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Course Features

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Duration

5 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Teaching Type

Self Paced

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Video Content

5 hours

Course Description

Welcome to the introduction to AI in the Data Center Course! As you are aware, Artificial Intelligence, or AI is changing the world in a variety of ways. In everything from speech recognition, to better control of supply chains, AI technologies provide businesses with computing capabilities and tools that their teams require to complete their job. What exactly is AI function in the Data Center? What software and hardware infrastructure is required? These are just a few issues this course will help you to answer. This course will provide the basics of terms and concepts to help you begin your journey towards AI as well as GPU processing in the data centre. Learn about the following: * AI and AI applications, Machine Learning, Deep Learning and the way that training and inference occur within the Deep Learning Workflow. The background and the architecture of GPUs and their differences from CPUs, as well as how they're changing the face of AI. * Frameworks for deep learning, AI software stacks, as well as the considerations to consider when deploying AI applications in a data center on the prem or in the cloud using a hybrid model or in a multi-cloud system. * requirements to run Multi-system AI clusters , and considerations for planning infrastructure, which include networking, servers, storage, as well as tools for managing clusters, surveillance, and orchestration. The course forms part of material used to prepare to earn the NVIDIA Certified Associate - "AI in the Data Center" certification. This certification will elevate your knowledge up to the next step and help your professional growth. Who is the best candidate for this course? IT professionals * Network and System Administrators * DevOps * Data Center Professionals No prior knowledge required. This is an introduction for AI as well as GPU processing in the data centers. To learn more about NVIDIA's certification program, visit: https://academy.nvidia.com/en/nvidia-certified-associate-data-center/ So let's get started!

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

No prerequisites required

What You Will Learn

What is AI and AI use cases, Machine Learning, Deep Leaning, and how training and inference happen in a Deep Learning Workflow

T​he​ history and architecture of GPUs,how they differ from CPUs, and how they are revolutionizing AI​

B​ecome familiar with deep learning frameworks, AI software stack, and considerations when deploying AI workloads on a data center on prem or cloud

R​equirements for multi-system AI clusters and considerations for infrustructure planning, including servers, networking, storage and tools

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