NVIDIA-Certified Associate: Generative AI Certification Prep - Free EDU Edition

Prepare for the NVIDIA-Certified Associate: Generative AI Multimodal credential with free resources provided by NVIDIA

Instructor

Joseph Cole

PhD, Applied Physics

Free

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About the Course

This free, NVIDIA-backed course is open exclusively to high school and college students and faculty. It provides hands-on preparation for the prestigious NVIDIA-Certified Associate: Generative AI Multimodal credential.

​A Partnership with the NVIDIA Deep Learning Institute

Rose City Robotics is a University Ambassador for NVIDIA through their Deep Learning Institute. This session of our bootcamp series is offered at no cost to students and faculty from Oregon institutions.

​Outline

  • Credential Overview: NVIDIA-Certified Associate Generative AI Multimodal
    Free Access: Learn how to activate select paid NVIDIA online courses tied to the certification
    Exam Support: Receive discount codes for exam fees and schedule your online proctored exam
    Live Overview: Certification walkthrough and exam strategies from Rose City Robotics Co-Founder & CTO Dr. Joseph Cole, PhD (Certified NVIDIA Multimodal Instructor)

Who Should Enroll

  • Current high school or college students (or faculty) from PNW-based institutions
  • Students or faculty in STEM, Engineering, Computer Science, Business, or Mathematics programs

What You’ll Learn

  • Core concepts in generative AI and multimodal learning
    Best practices for using text, image, and audio in AI system design
    Certification preparation, including job task analysis, study strategies, and insider tips

Why Enroll

  • Access hundreds of dollars’ worth of NVIDIA training for free
  • Boost your chances of passing the NVIDIA certification exam
  • Add a highly respected credential to your resume and launch your AI career with confidence

Potential Career Paths

  • Robotics engineer
  • AI DevOps engineer
  • Generative AI specialist
  • Applied deep learning scientist
  • Cloud solution architect
  • AI strategist
  • Machine learning engineer
  • Physical AI engineer
  • Deep learning performance engineer

Prerequisites

  • Basic knowledge of AI and machine learning concepts
  • Familiarity with Python and Linux (or ability to learn quickly)
  • Motivation to learn and develop your skillset - this is self-driven learning

NVIDIA Certification Exam Details


Topics covered in the exam include:
  • Core machine learning and AI knowledge
  • Data analysis and visualization
  • Experimentation
  • Multimodal data
  • Performance optimization
  • Software development and engineering
  • Trustworthy AI

Exam Scheduling and cost information (the exam is optional):
  • Scheduling: We'll help you register and schedule your exam directly with NVIDIA at a time and date of your choosing
  • Exam Duration: 1 hour
  • Number of Questions: 50-60 multiple-choice questions
  • Exam Cost: $125 payable to NVIDIA (optional - additional discount code provided)
  • Location: Online Proctored

Instructor

  • Joseph Cole

    PhD, Applied Physics

    Joseph earned his PhD in applied physics from Rice University and a graduate certificate in applied statistics from Portland State. He is a retired Major with the US Army Reserves and has over 20 years of experience developing computer vision and machine learning algorithms at companies like

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Course Syllabus

1. Resources to Help Pass the Generative AI Multimodal Exam

  • Registration Information (complete to get your NVIDIA promo code)
  • Details on how to redeem the NVIDIA promo code
  • Intro: Generative AI Explained
  • Generative AI Multimodal Exam Study Guide
  • Free Resources Recommended for Review
  • Getting Started with Deep Learning
  • Introduction to Transformer-Based Natural Language Processing
  • Generative AI with Diffusion Models
  • Links to Embedded Course Resources
  • Practice Exam: Introduction to Generative AI
  • Practice Exam: Introduction to Multimodal Modals
  • Practice Exam: Vision Transformer and CLIP
  • Practice Exam: PerceiverIO and More Generalized Multimodal Models
  • Resource - free cursor subscription for verified students

2. Community Discussion & Office Hours

  • GitHub Discussion and Discord Invites
  • Coming Soon - office hours

3. After the Course

  • Survey: Course Evaluation
  • Certificate of Completion

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