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Master NVIDIA AI Infrastructure & Pass NCA-AIIO · LearnSpace
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Master NVIDIA AI Infrastructure & Pass NCA-AIIO

Курс от Packt
Средний≈ 7.9 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

Learn to master NVIDIA's AI infrastructure, from GPUs to ML workflows. Explore AI-centric data centers, the NVIDIA tech stack, and advanced tools like CUDA and NCCL. Prepare for the NCA-AIIO certification with practical, real-world examples to advance your skills in AI and machine learning. Mastering AI infrastructure is crucial for optimizing performance and scaling AI projects. This course covers the evolution of AI, its applications across industries, and the critical technologies behind NVIDIA’s AI stack. You’ll explore GPUs, DPUs, and network fabrics in AI-centric data centers, understanding how each component plays a role in creating efficient AI systems. Dive deep into NVIDIA hardware like the DGX platform, DGX SuperPOD, and core libraries such as CUDA and NCCL. Learn the importance of GPU virtualization techniques like vGPU and MIG, and compare key network technologies like InfiniBand and Ethernet. By the end of the course, you will have hands-on experience with NVIDIA’s tools for optimizing AI infrastructure. The course concludes by exploring AI workflows, model training, job scheduling, container orchestration, and ML Ops, with a focus on NVIDIA’s tools for managing machine learning operations. You’ll leave with the expertise to optimize AI systems and be fully prepared to pass the NCA-AIIO certification exam, a key credential for AI professionals. This course is ideal for professionals in AI infrastructure management, data center operations, machine learning, and AI system optimization. It's perfect for technical specialists eager to enhance their skills in GPU-accelerated AI technologies and ML Ops. A basic understanding of AI, machine learning, and data centers is helpful but not required, with a strong interest in NVIDIA technologies and GPU computing enhancing the learning experience. This course offers hands-on, project-based learning, allowing you to work with real-world AI infrastructure scenarios. You’ll explore NVIDIA’s hardware and software tools, mastering AI workflows and machine learning operations. With expert guidance, you’ll develop the skills needed to manage and optimize AI infrastructure, preparing you for the NCA-AIIO certification. This course is based on Master NVIDIA AI Infrastructure & Pass NCA-AIIO, by Ashish Prajapati. This Course is licensed and distributed by Packt. All rights reserved. Packt is one of the world's most prolific publishers of cutting-edge technical content. For over two decades we've made it our mission to curate and publish the knowledge of only the very best technical experts. We focus on real-world courses that help our customers get the job done, with coverage that extends across a wide range of established and cutting-edge technical topics. If you're an individual or an organisation that embraces learning by doing, Packt is the perfect fit for you.

Навыки, которые вы освоите

Artificial IntelligenceAI WorkflowsMachine LearningData CentersGenerative AINetwork InfrastructureModel TrainingData InfrastructureNetwork ArchitectureCloud DeploymentAI OrchestrationInfrastructure ArchitectureGenerative Model ArchitecturesMLOps (Machine Learning Operations)Hardware ArchitectureArtificial Intelligence and Machine Learning (AI/ML)Cloud InfrastructureKubernetesAI literacyModel Deployment

Программа курса

6 модулей · 84 учебных материалов

01Introduction2 материалов

Discovering the Foundations of AI Infrastructure

IntroductionВидеоUnderstanding NVIDIA AI Infrastructure OverviewDIALOGUE
02Certification Details4 материалов

Unlocking NVIDIA AI Certification Pathways

NVIDIA CertificationsВидео

Учитесь у экспертов

Packt - Course Instructors

Преподаватель курса

Master NVIDIA AI Infrastructure & Pass NCA-AIIO
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Обучение на Coursera

≈ 7.9 ч

6 модулей

Язык: Английский

Часть программы вашего университета
Topics Covered in CertificationВидео
Understanding NVIDIA Certification PathwaysDIALOGUE
Nvidia AI Infrastructure Certification PathwaysЗадание
03Module 1 – Fundamentals7 материалов

Unpacking AI: From Foundations to Real-World Impact

Drivers of AI EvolutionВидеоAI Use Cases Across IndustriesВидеоAI, ML, DL, Gen AIВидеоAnalogy for AI, ML, DL, Gen AIВидеоTransformer ModelВидеоExplaining AI Technologies to a StakeholderDIALOGUEFoundations of Artificial Intelligence and Its EvolutionЗадание
04Module 2 - Inside an AI-Centric Data Center15 материалов

Building the Backbone of AI: Data Center Infrastructure Explained

Inside an AI-Centric Data CenterВидеоPower Usage Effectiveness (PUE)ВидеоThe Compute PowerВидеоCPU and GPUВидеоCPU vs. GPU – Architectural DifferenceВидеоBeyond Moore's LawВидеоData Processing Unit (DPU)ВидеоNetwork Inside an AI-Centric Data CenterВидеоNetwork FabricВидеоEthernet vs. InfiniBandВидеоConverged Ethernet (CE)ВидеоStorage Inside an AI-Centric Data CenterВидеоCloud vs. On-PremВидеоUnderstanding CPU vs. GPU in AI WorkloadsDIALOGUEAI Infrastructure FundamentalsЗадание
05Module 3 - NVIDIA Technology Stack43 материалов

Unpacking the NVIDIA AI Infrastructure: From Hardware to Enterprise Solutions

NVIDIA: Powering AI GPU InnovationВидеоNVIDIA Technology StackВидеоLayer 1 – Physical LayerВидеоGPU on a Graphics CardВидеоDGX PlatformВидеоDGX SuperPODВидеоConnectXВидеоBlueField DPUsВидеоNVIDIA Reference ArchitecturesВидеоUnderstanding GPU CoresВидеоComparing GPU CoresВидеоNVIDIA DGX Platform – TimelineВидеоDGX Platform – Deployment OptionsВидеоDGX A100 vs. H100ВидеоLayer 2: Data Movement and I/O AccelerationВидеоNVLinkВидеоInfiniBandВидеоInfiniBand vs. EthernetВидеоDMA and RDMAВидеоGPUDirect RDMAВидеоGPUDirect StorageВидеоQuick ComparisonВидеоLayer 3: OS, Driver, and VirtualizationВидеоGPU DriversВидеоGPU VirtualizationВидеоvGPU vs. MIG – Part 1ВидеоvGPU vs. MIG – Part 2ВидеоLayer 4: Core LibrariesВидеоCompute Unified Device Architecture (CUDA)ВидеоInstalling CUDAВидеоNVIDIA Collective Communications Library (NCCL)ВидеоNVLink, NVSwitch, PCIe, RDMA vs. NCCLВидеоLayer 5: Monitoring and ManagementВидеоNVIDIA-SMIВидеоData Center GPU Manager (DCGM)ВидеоBase Command ManagerВидеоWhich One to Use?ВидеоLayer 6: Applications & Vertical SolutionsВидеоSummaryВидеоNVIDIA AI EnterpriseВидеоNVIDIA AI FactoryВидеоDesigning an AI Infrastructure SolutionDIALOGUENvidia Data Center Technologies and MonitoringЗадание
06Module 4 - AI Workflows13 материалов

Mastering AI Workflows and ML Infrastructure

AI WorkflowsВидеоML FrameworksВидеоThe NVIDIA DifferentiatorВидеоModel Training vs. Model InferenceВидеоJob Scheduling vs. Container OrchestrationВидеоSlurm vs. KubernetesВидеоNVIDIA IntegrationВидеоML Ops – AnalogyВидеоWhy ML Ops?ВидеоNVIDIA Tools Supporting ML OpsВидеоExploring AI Workflow ComponentsDIALOGUEAI Infrastructure and MLOps FoundationsЗаданиеThe Master NVIDIA AI Infrastructure & Pass NCA-AIIO Final AssessmentЗадание