Important: You must have a school email address to register for this course.
A Partnership with NVIDIA Deep Learning Institute: We are a University Ambassador for NVIDIA through their Deep Learning Institute. This session of our bootcamp series is provided free to students and faculty from local institutions.
A Partnership with NVIDIA Deep Learning Institute: We are a University Ambassador for NVIDIA through their Deep Learning Institute. This session of our bootcamp series is provided free to students and faculty from local institutions.
Outline
- Credential Overview: NVIDIA-Certified Associate Generative AI Multimodal
- Setting up your free access to select paid NVIDIA online courses focused on this credential
- Discount codes for exam fees and scheduling your exam (online proctor) with NVIDIA.
- Exam overview by Rose City Robotics co-founder and CTO, Joseph Cole PhD (Certified NVIDIA Generative AI Multimodal)
Prepare for the NVIDIA-Certified Associate: Generative AI Multimodal credential with free resources provided by NVIDIA.
We will be hosting a Live In-Person meetup at Portland State University on May 22nd, registration details are available inside the course. Attendance is not required at the event, but we will be helping students get set up on their computers with NVIDIA resources and Dr. Cole will review some study and exam tips. This session will be recorded and posted in the course if you are unable to attend in person.
Who Should Enroll?
- Important - high school and college students only at this time (or faculty).
- High school and college students and faculty from any Oregon institution seeking to expand their knowledge in multimodal AI and robotics integration.
- Active students and faculty in STEM, Engineering, Business, Computer Science, and Mathematics (not exclusive).
What You’ll Learn:
- Fundamentals of generative AI and multimodal learning.
- Best practices for designing and implementing AI systems using text, image, and audio data.
- Exam preparation strategies, including job task analysis and study resources.
Training Format:
- Mode: Online & in Person at PSU Campus
- Instructor: Joseph Cole has a PhD in Applied Physics and 20+ years of experience in Machine Learning algorithms and computer vision development, working at companies like Applied Materials and Northrop Grumman.
- Students are also able to access paid online content developed by NVIDIA instructors.
- Class Size: Limited to 20 students and faculty.
Why Enroll?
- Access hundreds of dollars of paid NVIDIA training resources for free.
- Increase your chances of passing the NVIDIA certification exam.
- Add a valuable, respected credential to your resume and develop the tools needed to launch your career.
Career Paths
- Robotics
- AI DevOps engineers
- AI strategists
- Physical AI engineers
- Applied deep learning research scientists
- Cloud solution architects
- Deep learning performance engineers
- Generative AI specialists
- Machine learning engineers
Prerequisites:
- A basic understanding of AI and machine learning concepts.
- Familiarity with Python and deep learning frameworks.
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
