Important: You must have a .edu email address to register for this course.
A Partnership with NVIDIA Deep Learning Institute: We are a University Ambassador for Portland State University and NVIDIA through their Deep Learning Institute. This session of our bootcamp series is provided free to university students and faculty from any local institution.
A Partnership with NVIDIA Deep Learning Institute: We are a University Ambassador for Portland State University and NVIDIA through their Deep Learning Institute. This session of our bootcamp series is provided free to university students and faculty from any local institution.
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. Attendance is not required at the event but we will be helping students get set up on their computers with NVIDIA resources.
Who Should Enroll?
- University students and faculty from any Oregon institution seeking to expand their knowledge in multimodal AI and robotics integration. Important - You can only register with a .edu email address.
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 Algorithm Development. The course will also each online content developed by NVIDIA instructors.
- Class Size: Limited to 20 university 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
- AI DevOps engineers
- AI strategists
- Applied data research engineers
- Applied data scientists
- Applied deep learning research scientists
- Cloud solution architects
- Data scientists
- Deep learning performance engineers
- Generative AI specialists
- Large language model (LLM) specialists and researchers
- Machine learning engineers
- Senior researchers
- Software engineers
- Solutions architects
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
Scheduling and cost information:
- 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
- Cost: $125 payable to NVIDIA (additional discount code provided)
- Location: Online Proctored
