NCA-AIIO - Prep Course - AI Infra & Ops Associate

Descripción

Embark on a transformative journey into the world of AI infrastructure with this comprehensive course designed to prepare you for the 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. • GPU Hardware & Software: Gain proficiency in 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

Lo que aprenderás

• Comprehend GPU Architecture and Use Cases - Learn about GPU architecture and its role in accelerating AI workloads across various industries.
• Prepare for NCA-AIIO Certification - Gain the knowledge and skills needed to successfully pass the AI Infrastructure Operations Associate exam.
• Navigate GPU Software Suite – Learn CUDA, GPU cores, DGX, NVLink, InfiniBand, DCGM, GPUDirect, and key tools for AI data center operations.
• Comprehend GPU Architecture and Use Cases Learn about GPU architecture and its role in accelerating AI workloads across various industries.

Requisitos

• 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.