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AI-INFRA 100: AI Infrastructure

AI-INFRA 100: AI Infrastructure is a foundational course designed to help professionals understand the infrastructure, computing, networking, storage, cloud, and operational considerations required to support modern AI workloads. The course covers essential AI concepts, GPU and CPU computing, AI software ecosystems, multi-GPU systems, networking, storage, energy-efficient computing, reference architectures, cloud-based AI deployments, infrastructure management, monitoring, cluster orchestration, job scheduling, and MLOps concepts.
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Course Description

Key Takeaways
  • Understand fundamental AI, machine learning, deep learning, and generative AI concepts.
  • Understand GPU and CPU requirements for AI workloads.
  • Explore infrastructure considerations for multi-system AI clusters.
  • Understand networking and storage requirements for AI workloads.
  • Explore AI deployment across on-premises, cloud, hybrid, and multi-cloud environments.
  • Understand AI infrastructure monitoring, management, orchestration, and job scheduling.
  • Learn the role of MLOps in continuous delivery and automation of AI workloads.
Course Outline

Module 1: Introduction to AI

  • AI Transformation Across Industries
  • Introduction to Artificial Intelligence
  • Generative AI: Overview
  • Generating Images Using Generative AI
  • Beyond Generative AI
  • Accelerating AI with GPUs
  • AI Software Ecosystems
  • Data Center and Cloud Computing

Module 2: AI Infrastructure

  • Data Center Platform
  • GPUs and CPUs for AI
  • Multi-GPU Systems
  • Introduction to DPUs
  • Networking for AI
  • InfiniBand and Ethernet
  • NVIDIA Networking Portfolio
  • Storage for AI
  • Energy Efficient Computing
  • Reference Architectures
  • AI in the Cloud Unit Overview
  • Introduction to AI in the Cloud
  • AI Use Cases in the Cloud
  • AI in the Cloud Considerations
  • Supported Cloud Service Providers and Consumption Models
  • NVIDIA Solutions in the Cloud

Module 3: AI Operations

  • AI Data Center Management and Monitoring
  • Orchestration, MLOps, and Job Scheduling

Module 4: Course Completion Quiz

  • Course Completion Quiz
Duration

2 Days

Exam Details

Certification: NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO)

Duration: 60 minutes

Format: Online, remotely proctored

Questions: 50 multiple-choice questions

Who should attend
  • IT Professionals
  • System Administrators
  • Network Administrators
  • DevOps Engineers
  • Data Center Professionals
Prerequisites

No prerequisites

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Our instructors

Mohammad Gufran Network Binary

MOHAMMED GUFRAN

17 years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation

AKMAL YAZDANI

18+ years of Experience
Azure & AWS services |Managing and Implementing Windows servers

MUHAMMAD MUSAB

4+ Years of Experience
Cisco Technologies | Cisco and HPE ARUBA Technologies | Routing and Switching

RANIA GABRIEL GEORGE HAKIM

25+ years of Experience
Enterprise Networking | Network Security | Software Defined Networking & Automation
Microsoft Instructor and Windows Network Specialist

MOHD FARAZ HARMIS

25+ years of Experience
Managing and Implementing Microsoft Azure cloud | Active Directory

SHAHEEN AKHTAR

17 years of Experience
TCP | and UDP protocols, along | with expertise in firewalls such as Palo Alto

KUDDOOS ALI

14+ years of Experience
Experienced Network Engineer proficient in AFC | Aruba Central | Aruba CX switches

AAMIR MASOOD

6 years of Experience
AWS Compute | AWS Storage | AWS Database | AWS Management
Faizan Ahmad IT Advisor

FAIZAN AHMAD

7 years of Experience
Software support Issue Resolution | User assistance | Microsoft Active Directory
cisco Instructor in Dubai Saad shah

SAAD SHAH

10 years of Experience
Cisco Technologies | Routing and Swtiching | Data Center | Security

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FAQs

What is AI-INFRA 100: AI Infrastructure?

AI-INFRA 100 is a foundational AI infrastructure course covering AI concepts, GPU and CPU computing, data center infrastructure, networking, storage, cloud deployment, and AI operations. Koenig Solutions currently lists the course as a 16-hour training program.

Does AI-INFRA 100 prepare learners for an NVIDIA certification?

Yes. The course aligns with NVIDIA's AI Infrastructure and Operations Fundamentals learning path, which is preparation material for the NVIDIA-Certified Associate: AI Infrastructure and Operations (NCA-AIIO) certification.

What topics are covered in AI Infrastructure training?

The course covers AI fundamentals, GPU and CPU computing, multi-GPU systems, DPUs, AI networking, InfiniBand and Ethernet, storage, energy-efficient computing, reference architectures, cloud AI deployments, infrastructure monitoring, orchestration, MLOps, and job scheduling.

Who can take AI-INFRA 100?

The course is suitable for IT professionals, system and network administrators, DevOps engineers, and data center professionals. NVIDIA states that no prior experience is required for its corresponding fundamentals course.

What is the NCA-AIIO certification exam format?

The NVIDIA-Certified Associate: AI Infrastructure and Operations exam is an online, remotely proctored assessment containing 50 questions with a 60-minute time limit. The certification is valid for two years from issuance.

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