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