Coming soon NVIDIA Generative AI Certification Prep Boot Camp

Price: Free

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About the Course

Prepare for the NVIDIA-Certified Associate: Generative AI Multimodal credential with our hands-on, expert-led training program. This training is designed to equip participants with the foundational knowledge and practical skills needed to excel in the certification exam and apply generative AI techniques in real-world robotics applications.

Who Should Take This Training?

  • Portland State University Schools of Engineering, Business, Computer Science, and Mathematics (not exclusive).
  • AI and machine learning enthusiasts looking to gain a recognized credential.
  • Entrepreneurs, engineers, and researchers interested in generative AI and robotics applications.
  • PSU students and faculty seeking to expand their knowledge in multimodal AI and robotics integration. 

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.
  • Hands-on experience with key tools and frameworks used in generative AI and robotics.
  • Application of generative AI techniques to robotics and automation.
  • Exam preparation strategies, including practice questions and study resources.

Training Format:

  • Duration: 6-modules
  • Mode: Online & in Person at PSU Campus
  • Start Date: April 1st at the hands-on kickoff workshop. For students intending to continue through the full prep course boot camp, we will meet weekly through a mix of virtual and in-person events for 6 weeks.
  • Instructor: Joseph Cole has a PhD in Applied Physics and 20+ years of experience in Machine Learning Algorithm Development.
  • Class Size: Limited to 20 participants with priority to PSU students and faculty (all interested participants please join our waitlist and we will notify you when we have the next workshop - coming soon!).

Why Enroll?

  • Get expert guidance and hands-on experience with cutting-edge AI and robotics technologies.
  • Build a strong foundation in generative AI to apply in various robotics and automation industries.
  • Increase your chances of passing the NVIDIA certification exam.
  • Connect with a community of AI and robotics learners and professionals.
  • Add a valuable respected credential to your resume and develop the tools needed to launch your robotics startup.

Prerequisites:

  • Basic understanding of AI and machine learning concepts recommended.
  • Familiarity with Python and deep learning frameworks is helpful but not required.

Certification Exam Details:

  • 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
  • Location: Online Proctored

Instructor

  • Joseph Cole

    CTO / Cofounder Rose City Robotics

    Joseph earned his PhD in applied physics and has over 20 years of industry experience developing computer vision and machine learning algorithms.

    + read more

Join Waitlist

This course is under active development please click below to join the waitlist and we will email you when the course is available.

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Frequently asked questions

Is your training approved by NVIDIA?

Yes, our co-founder and CEO Duncan Miller is an NVIDIA University Ambassador and faculty member at Portland State University. We will be utilizing NVIDIA training materials, resources, courses and expertise intended for university students and faculty as a part of the NVIDIA University Ambassador program.

Will this course prepare me for the NVIDIA-Certified Associate Generative AI Multimodal Exam

Yes this course covers the NVIDIA-Certified Associate Generative AI Multimodal Job Task Analysis. It includes practice exams and is intended to help you pass the NVIDIA-Certified Associate Generative AI Multimodal Exam. Passing the exam requires a great deal of studying and preparation.

Do you offer team training or group discount

Yes, please contact us at groups@rosecityrobotics.com for information about team registrations.

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