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AI

Edge AI Unleashed: Where AI & ML Matters Most

Group Training + View more dates & times

                 
Overview

Boost your AI and ML expertise with our dynamic 3-day workshop, designed for innovators and tech leaders. Master Nvidia’s edge AI tools through practical labs in partnership with Eviden and the Center for Applied AI at UMBC Training Centers, sponsored by Nvidia.

Learn AI model creation with Nemo, inference optimization with TensorRT, and system design with Metropolis, all on Nvidia Jetsons to propel yourself into real-world edge AI applications.

Duration

3 days

Who Should Take This Course

Audience

AI and ML enthusiasts, data scientists, R&D innovators, and business leaders seeking to explore the extensive capabilities of Nvidia technologies. This course is ideal for those ready to tackle current challenges and propel their organizations toward industry-leading AI innovations.

Schedule
Course Outline

Day 1: Embark on your AI adventure

•Learn the concepts behind AI, ML, DL & LLMs
•Explore Nvidia AI and ML ecosystems, and get hands-on with Nemo and TensorRT

Day 2: Get Hands-On with Nvidia Jetson

•Deploy Nvidia Jetson
•Implement Nemo AI services on Jetson, leveraging TensorRT for peak efficiency

Day 3: Deploy a Metropolis pipeline

•Implement AI services using Metropolis
•Construct and deploy a Metropolis using real world use cases

FAQs
Is there a discount available for current students?

UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.

What is the cancellation and refund policy?

Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.

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