Скачать Инфраструктура ИИ NVIDIA и подготовка к NCA-AIIO [Udemy] [Ashish Prajapati]

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Складчина: Инфраструктура ИИ NVIDIA и подготовка к NCA-AIIO [Udemy] [Ashish Prajapati]



Master NVIDIA AI Infrastructure & Pass NCA-AIIO
Язык: английский


Курс по основам AI-инфраструктуры на базе решений NVIDIA и подготовке к сертификации NVIDIA Certified Associate: AI Infrastructure & Operations (NCA-AIIO).

Подойдет начинающим специалистам, IT-специалистам, системным администраторам и DevOps-инженерам, которым нужно разобраться в устройстве современной AI-инфраструктуры: от роли GPU и архитектуры дата-центра до программного стека NVIDIA, мониторинга, сетевого взаимодействия и AI-workflows.

Что будет в курсе:

основы AI, ML, DL и GenAI;
устройство AI-ориентированного дата-центра;
различия CPU, GPU и DPU;
сети и хранение данных в AI-инфраструктуре;
стек NVIDIA: DGX, BlueField, ConnectX, NVLink, InfiniBand, CUDA, NCCL, DCGM, NVIDIA-SMI и др.;
виртуализация GPU, vGPU и MIG;
AI-workflows, MLOps, Slurm и Kubernetes;
подготовка к экзамену NCA-AIIO.

Формат курса:

6 разделов
72 лекции
4 ч 40 мин видео



Содержание курса
6 разделов • 72 лекции • Общая продолжительность 4 ч 40 мин

Введение
1 лекция • 2 мин

Детали сертификации
2 лекции • 5 мин

Модуль 1 - Основы
5 лекций • 16 мин

Модуль 2 - Внутри центра обработки данных на базе ИИ
13 лекций • 1 ч 1 мин

Модуль 3 - Технологический стек NVIDIA
41 лекция • 2 ч 34 мин

Модуль 4 - Рабочие процессы ИИ
10 лекций • 44 мин



Требования:
Специальный опыт в AI-инфраструктуре не требуется. Базовое понимание IT, оборудования и сетей будет полезно, но не обязательно.

Для кого курс:
Для IT-специалистов, начинающих инженеров, системных администраторов, DevOps-специалистов и всех, кто готовится к сертификации NVIDIA NCA-AIIO.

Спойлер: На языке оригинала:
Master NVIDIA AI Infrastructure & Pass NCA-AIIO

Your Guide to Understanding NVIDIA-Powered AI Infrastructure - From Fundamentals to Certification Success

Bestseller

What you'll learn

Comprehend GPU Architecture and Use Cases - Learn about GPU architecture and its role in accelerating AI workloads across various industries.

Navigate NVIDIA Software Suite – Learn CUDA, GPU cores, DGX, NVLink, InfiniBand, DCGM, GPUDirect, and key tools for AI data center operations.

Prepare for NVIDIA NCA-AIIO Certification - Gain the knowledge and skills needed to successfully pass the NVIDIA AI Infrastructure Operations Associate exam.

Comprehend GPU Architecture and Use Cases Learn about GPU architecture and its role in accelerating AI workloads across various industries.

Course content

6 sections • 72 lectures • 4h 40m total length

Introduction
1 lecture • 2min

Certification Details
2 lectures • 5min

Module 1 - Fundamentals
5 lectures • 16min

Module 2 - Inside an AI centric Data Center
13 lectures • 1hr 1min

Module 3 - NVIDIA Technology Stack
41 lectures • 2hr 34min

Module 4 - AI Workflows
10 lectures • 44min

Module 1
Drivers of AI evolution
AI use cases across industries
AI, ML, DL, Gen AI
Analogy for AI, ML, DL, Gen AI
Transformer Model

Module 2 - Inside an AI centric Data Center
Inside an AI centric Data Center
Power Usage Effectiveness (PUE)
The Compute Power
CPU and GPU
CPU vs. GPU - Architectural difference
Beyond Moore's law
Data Processing Unit (DPU)
Network inside an AI centric Data Center
Network fabric
Ethernet vs. InfiniBand
Converged Ethernet (CE)
Storage inside an AI centric Data Center
Cloud vs. On-Prem

Module 3 - NVIDIA Technology Stack
NVIDIA: Powering AI GPU Innovation
NVIDIA Technology Stack
Layer 1 - Physical Layer
GPU on a Graphic Card
DGX Platform
DGX SuperPOD
ConnectX
BlueField DPUs
NVIDIA Reference Architectures
Understanding GPU Cores
Comparing GPU Cores
NVIDIA DGX Platform - Timeline
DGX Platform - Deployment Options
DGX A100 vs H100
Layer 2: Data Movement and I/O Acceleration
NVLink
InfiniBand
InfiniBand vs. Ethernet
DMA and RDMA
GPUDirect RDMA
GPUDirect Storage
Quick Comparison
Layer 3: OS, Driver and Virtualization
GPU Drivers
GPU Virtualization
vGPU vs. MIG - Part 1
vGPU vs. MIG - Part 2
Layer 4: Core Libraries
Compute Unified Device Architecture (CUDA)
Installing CUDA
NVIDIA Collective Communications Library (NCCL)
NVLink, NVSwitch, PCIe, RDMA vs. NCCL
Layer 5: Monitoring and Management
NVIDIA-SMI
Data Center GPU Manager (DCGM)
Base Command Manager
Which one to use?
Layer 6: Applications & Vertical Solutions
Summary
NVIDIA AI Enterprise:
NVIDIA AI Factory

Module 4 - AI Workflows
AI Workflows
ML Frameworks
The NVIDIA differentiator
Model Training vs. Model Inference
Job Scheduling vs. Container Orchestration
Slurm vs Kubernetes
NVIDIA Integration
ML Ops - Analogy
Why ML Ops?
NVIDIA Tools supporting ML Ops

Requirements

No prior AI infrastructure experience is required; this course is suitable for beginners. Basic understanding of IT concepts, data centers, or enterprise computing is helpful but not mandatory.

Familiarity with general IT hardware and networking concepts is useful.

Description

Embark on a transformative journey into the world of AI infrastructure with this comprehensive course designed to prepare you for the NVIDIA Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification. Whether you're an IT professional, system administrator, or DevOps engineer, this course equips you with the foundational knowledge and practical skills needed to manage and optimize AI workloads in data center environments.

What You'll Learn:

AI Fundamentals: Understand the core concepts of Artificial Intelligence, Machine Learning, and Deep Learning, and their applications in modern computing.

NVIDIA Hardware & Software: Gain proficiency in NVIDIA's GPU architectures, including A100, H100, and B200, and explore essential software tools like CUDA, DCGM, and NGC Catalog.

Infrastructure Design: Learn about data center components, networking technologies such as NVLink and InfiniBand, and how to design scalable AI infrastructure.

AI Operations: Master the deployment, monitoring, and optimization of AI workloads in a enterprise data center, utilizing tools like DCGM, Slurm and Kubernetes.

Exam Preparation: Prepare thoroughly for the NCA-AIIO exam with detailed study guides, practice questions, and real-world scenarios. Gain a clear understanding of the exam objectives, learn tips to maximize your performance, and build confidence to pass the certification on your first attempt, validating your expertise in AI infrastructure operations.

Who this course is for:

This course is for IT professionals, beginners, and anyone preparing for the NVIDIA NCA-AIIO certification. Learn AI infrastructure, NVIDIA GPUs, software, and data center operations from the ground up.
Автор: Ashish Prajapati

Цена ~1500 руб. (14,99 €)




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