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
Duncan Miller, co-founder of Rose City Robotics, is a University Ambassador for NVIDIA through the Deep Learning Institute and Portland State University. This session of our bootcamp series is offered at no cost to all university students and faculty.
Free Access to NVIDIA Curriculum Includes
- Intro: Generative AI Explained
- Getting Started with Deep Learning
- Introduction to Transformer-Based Natural Language Processing
- Generative AI with Diffusion Models
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
- 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
