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NVIDIA NIM For AI Beginners Course Overview

NVIDIA NIM For AI Beginners Course Overview

### Overview: NVIDIA NIM For AI Beginners

Koenig Solutions' NVIDIA NIM for AI Beginners course is a 5-day (40 hours) comprehensive training designed to introduce participants to the NVIDIA platform and its applications in Generative AI models. The course covers essential topics such as the NVIDIA Omniverse Cloud, NIM Architecture, and key features.

Participants will engage in hands-on labs using NVIDIA UI and SDKs to develop models, with free credits provided for practical application. The curriculum includes modules on Reasoning Language Models, Vision Language Models, Open Diffusion Models, and more.

Learning objectives include understanding AI workflows in cybersecurity, retail, medical imaging, and other industry domains. By the end of the course, participants will be capable of deploying and optimizing AI models for various real-world applications.

### Practical Applications:
- Deploy Generative AI models using NVIDIA tools.
- Integrate AI into workflows like OpenUSD, AI chatbots, and route optimization.
- Utilize AI in drug discovery, speech-to-text, and other specialized fields.

Join us to harness the power of **NVIDIA AI technology

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Course Prerequisites

Prerequisites for NVIDIA NIM For AI Beginners Course

To successfully undertake the NVIDIA NIM For AI Beginners course, students should have the following prerequisites:


  • Fundamentals of Python: Basic understanding and proficiency in Python programming.
  • Interest in Generative AI Models: A keen interest in applying generative AI models to real-world business case scenarios.

These essential prerequisites ensure that participants are well-prepared to engage with the course material and maximize their learning experience.


Target Audience for NVIDIA NIM For AI Beginners

NVIDIA NIM For AI Beginners offers a comprehensive 5-day course on employing Generative AI models for real-life business scenarios, targeting professionals keen on advancing their technical skills in AI applications.


  • Data Scientists
  • Machine Learning Engineers
  • AI Researchers
  • Software Developers
  • IT Professionals
  • Business Analysts
  • AI Consultants
  • Bioinformatics Specialists
  • Cybersecurity Experts
  • Retail Analysts
  • Healthcare Professionals
  • Research Scientists
  • Product Managers
  • Enterprise Solutions Architects
  • Robotics Engineers
  • Systems Engineers
  • Technical Project Managers
  • Technology Enthusiasts

This diverse set of professionals would benefit from learning NVIDIA NIM as they seek to deploy and optimize AI models within their respective fields.




Learning Objectives - What you will Learn in this NVIDIA NIM For AI Beginners?

Introduction

The NVIDIA NIM for AI Beginners course provides a comprehensive introduction to leveraging NVIDIA's artificial intelligence (AI) technologies for various business applications. In this 5-day course, participants will explore model deployment, deep dives into UI and SDK platforms, and real-world AI workflows.

Learning Objectives and Outcomes

  • Understand the NVIDIA Omniverse Cloud: Gain a foundational understanding of the NVIDIA platform and its architecture, features, and components.
  • Deploy Generative AI Models: Learn the step-by-step process of deploying generative AI models using NVIDIA NIM.
  • Explore Language and Vision Models: Delve into reasoning language LLMs, vision language models (VLM), and specialized foundation models.
  • Utilize NVIDIA Edify and Open Diffusion Models: Hands-on experience working with NVIDIA Edify and open diffusion models to generate embeddings for text retrieval and more.
  • Work with Audio and Translation Models: Gain practical knowledge in speech-to-text, text-to-speech, and translation models.
  • Integrate AI into Various Workflows: Learn to integrate generative AI into OpenUSD workflows, including animation, rendering, and simulation.
  • AI for Healthcare: Explore domain-specific applications such as drug discovery, medical

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