Intel® Edge AI Fundamentals with OpenVINO™

  • 0.0
Approx. 1 month

Brief Introduction

Computer vision and AI at the edge are becoming instrumental in powering everything from factory assembly lines and retail inventory management to hospital urgent care medical imaging equipment like X-ray and CAT scans. This program will teach fluency in some of the most cutting-edge technologies. The course will introduce students to the Intel® Distribution of OpenVINO™ Toolkit, which allows developers to deploy pre-trained deep learning models through a high-level C++ or Python inference engin

Course Summary

The Intel Edge AI Fundamentals with OpenVINO course teaches learners how to use Intel's OpenVINO toolkit to deploy computer vision models on edge devices.

Key Learning Points

  • Learn how to optimize computer vision models for edge devices
  • Gain experience deploying models on Intel hardware
  • Develop skills in using the OpenVINO toolkit

Job Positions & Salaries of people who have taken this course might have

    • USA: $110,000
    • USA: USD
    • India: ₹2,500,000
    • India: INR
    • Spain: €35,000
    • Spain: EUR
    • USA: $110,000
    • USA: USD
    • India: ₹2,500,000
    • India: INR
    • Spain: €35,000
    • Spain: EUR

    • USA: $95,000
    • USA: USD
    • India: ₹2,000,000
    • India: INR
    • Spain: €30,000
    • Spain: EUR
    • USA: $110,000
    • USA: USD
    • India: ₹2,500,000
    • India: INR
    • Spain: €35,000
    • Spain: EUR

    • USA: $95,000
    • USA: USD
    • India: ₹2,000,000
    • India: INR
    • Spain: €30,000
    • Spain: EUR

    • USA: $120,000
    • USA: USD
    • India: ₹2,800,000
    • India: INR
    • Spain: €40,000
    • Spain: EUR

Related Topics for further study


Learning Outcomes

  • Deploy computer vision models on edge devices using OpenVINO
  • Optimize models for edge computing
  • Develop skills in using Intel hardware for AI applications

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of computer vision and deep learning
  • Familiarity with Python programming language

Course Difficulty Level

Intermediate

Course Format

  • Self-paced
  • Online
  • Video-based
  • Project-oriented

Similar Courses

  • TensorFlow for Deep Learning
  • Applied AI

Related Education Paths


Notable People in This Field

  • AI Researcher and Educator
  • Professor of Computer Science, NYU

Related Books

Description

Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel Distribution of OpenVINO toolkit to deploy computer vision capabilities inside a range of edge applications.

Requirements

  • Basic Python experience. Basic familiarity with computer vision and AI model creation. See the Technology Requirements for using Udacity.

Knowledge

  • Instructor videosLearn by doing exercisesTaught by industry professionals

Outline

  • lesson 1 Leveraging Pre-Trained Models Leverage a pre-trained model for computer vision inferencing lesson 2 The Model Optimizer Convert pre-trained models into the framework-agnostic intermediate representation with the Model Optimizer lesson 3 The Inference Engine Perform efficient inference on deep learning models through the hardware-agnostic Inference Engine lesson 4 Deploying an Edge App Deploy an app on the edge including sending information through MQTT and analyze model performance and use cases

Summary of User Reviews

Learn the fundamentals of Intel Edge AI with OpenVINO in this comprehensive Udacity course. Students praise the hands-on approach and practical application of the material.

Key Aspect Users Liked About This Course

Hands-on approach to learning

Pros from User Reviews

  • Practical application of material
  • Clear and concise explanations
  • Great for beginners in AI and Edge Computing
  • Good balance of theory and practice
  • In-depth coverage of OpenVINO toolkit

Cons from User Reviews

  • Some technical issues with course materials
  • Course content may be too basic for advanced users
  • Lack of interaction with instructors
  • Limited depth in some topics
  • No certificate of completion offered
Free
Available now
Approx. 1 month
Michael Virgo
Udacity

Instructor

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