Course Overview

This course is based on the InfiniBand specification and covers both theoretical and practical aspects. It is designed to meet the needs of anyone who installs, configures, manages, troubleshoots, or monitors InfiniBand fabrics. This course is delivered through a series of interactive units, videos, knowledge checks and on-line learning resources that provide a comprehensive learning experience.

After completing this course of training, you will be able to:

  • Understand the core concepts of InfiniBand technology
  • Describe the InfiniBand architecture and its layers
  • Manage and monitor InfiniBand fabrics
  • Utilize InfiniBand drivers and tools effectively
  • Implement and troubleshoot InfiniBand topologies

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  • Network administrators
  • network architects
  • IT managers
  • technicians who work or intend to work in an InfiniBand environment

Pre-requisites of NCP-IB course:

Pre-requisites of NCP-IB course:

Learning objective of the NCP-GENM Certification Training

  • InfiniBand Architecture Overview
  • InfiniBand Switches and Routers
  • InfiniBand Fabric Configuration
  • InfiniBand Network Interface Cards (NICs)
  • Performance Optimization
  • InfiniBand Troubleshooting
  • InfiniBand Security
  • Integration with Other Technologies
  • InfiniBand Fabric Management Tools
  • InfiniBand Software Stacks
  • RDMA and Remote Memory Access (RMA)

Why choose CloudThat as your training partner for NVIDIA Courses?

  • We have well-trained, experienced, and certified Subject matter experts and instructors to conduct these trainings.
  • The course guides students through specific tasks and real-world challenges to help them understand the relevance, power, and usefulness of Microsoft Word.

Course Outline Download Course Outline

  • Overview of InfiniBand technology
  • Key features and use cases

  • Layers of InfiniBand architecture
  • Role of each layer

  • Management concepts and functions
  • Fabric initialization and monitoring

  • Common InfiniBand drivers
  • Utilities and tools for management and diagnostics

  • Processes during fabric initialization
  • Monitoring techniques

  • Main InfiniBand topologies
  • Routing engines and considerations

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Course ID: 24781

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FAQs on NVIDIA – Certified Professional: InfiniBand (NCP-IB)

NVIDIA offers a range of courses through its Deep Learning Institute (DLI), designed to help individuals and organizations gain skills in cutting-edge technologies like AI, data science, accelerated computing, and more. These courses are available in various formats, including self-paced online training and instructor-led workshops

Yes, NVIDIA does offer some free courses through its Deep Learning Institute (DLI). These include introductory courses on topics like CUDA programming and generative AI. However, many of their more advanced or specialized courses require payment. You can explore their free course offerings from the NVIDIA website. Let me know if you'd like help finding a specific course!

Yes, NVIDIA courses often require specific software and tools, depending on the course topic.

The prior knowledge required for NVIDIA courses depends on the specific course you're interested in. Here are some general guidelines: Beginner-Level Courses: These often require little to no prior knowledge. For example, introductory courses on CUDA programming or generative AI are designed for newcomers. Intermediate and Advanced Courses: These may require familiarity with programming languages like Python or C++, basic knowledge of machine learning or deep learning concepts, and experience with tools like TensorFlow or PyTorch. Specialized Topics: Courses on AI infrastructure, GPU computing, or advanced networking might require a background in IT, data science, or related fields.

Core Concepts: Learn intelligent bot fundamentals, NLP, and conversational AI frameworks. NVIDIA Tools: Familiarize yourself with NVIDIA tools like CUDA, Triton, and NeMo for bot development. Key Topics: Focus on machine learning basics, NLP techniques, AI ethics, and performance optimization. Online Courses: Explore specialized training for chatbot development via Udemy and NVIDIA's certification resources. Practice: Build and test bots using real-world scenarios and frameworks. Exam Details: Study the exam blueprint; it's a 60-minute test with 50-60 multiple-choice questions.

Yes, many NVIDIA courses include evaluations or certifications that require payment. For example, some self-paced courses offer certificates of competency, which are available for a fee. However, there are also free courses that do not include evaluations or certifications

After clearing the NCA-IB assessment, you'll receive a digital badge and an optional certificate that validate your expertise in intelligent bot development and conversational AI. This certification is valid for two years, and you can renew it by retaking the exam. The certification showcases your skills in building and optimizing intelligent bots, making you a strong candidate for roles like chatbot developer, AI engineer, or conversational AI specialist. It can also open doors to advanced certifications and specialized projects in the field of conversational AI.

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