Download and Learn Intel® Edge AI for IoT Developers Udacity Nanodegree Course 2022 for free with google drive download link.

Lead the development of cutting-edge Edge AI applications for the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision & deep learning inference applications.

In collaboration with

Intel

What You’ll Learn in Intel® Edge AI for IoT Developers Nanodegree


Intel® Edge AI for IoT Developers

Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications, and run pre-trained deep learning models for computer vision on-premise. You will identify key hardware specifications of various hardware types (CPU, VPU, FPGA, and Integrated GPU), and utilize the Intel® DevCloud for the Edge to test model performance on the various hardware types. Finally, you will use software tools to optimize deep learning models to improve performance of Edge AI systems.

Lead the development of cutting-edge Edge AI applications that are the future of the Internet of Things. Leverage the Intel® Distribution of OpenVINO™ Toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

3 months to complete

Intel® Edge AI for IoT Developers Nanodegree Intro Video:

Prerequisite Knowledge

This program requires intermediate knowledge of Python, and experience with Deep Learning, Command Line, and OpenCV.

To succeed in this program, students should have the following:

  • Intermediate knowledge of programming in Python
  • Experience with training and deploying deep learning models
  • Familiarity with different DL layers and architectures (CNN based)
  • Familiarity with the command line (bash terminal)
  • Experience using OpenCV

Edge AI Fundamentals with OpenVINO™

Leverage a pre-trained model for computer vision inferencing. You will convert pre-trained models into the framework agnostic intermediate representation with the Model Optimizer, and perform efficient inference on deep learning models through the hardware-agnostic Inference Engine. Finally, you will deploy an app on the edge, including sending information through MQTT, and analyze model performance and use cases

Project – Deploy a People Counter at the Edge

Investigate different pre-trained models for person detection, and detect the number of people in the frame, and the time spent there.

Hardware for Computer Vision & Deep Learning Application Deployment

Grow your expertise in choosing the right hardware. Identify key hardware specifications of various hardware types (CPU, VPU, FPGA, and Integrated GPU). Utilize the Intel® DevCloud for the Edge to test model performance and deploy power-efficient deep neural network inference on on the various hardware types. Finally, you will distribute workload on available compute devices in order to improve model performance.

Project – Design a Smart Queuing System

Build custom queuing systems for the retail, manufacturing and transportation sectors and use the Intel® DevCloud for the Edge to test your solutions performance.

Optimization Techniques and Tools for Computer Vision & Deep Learning Applications

Learn how to optimize your model and application code to reduce inference time when running your model at the edge. Use different software optimization techniques to improve the inference time of your model. Calculate how computationally expensive your model is. Use the DL Workbench to optimize your model and benchmark the performance of your model. Use a VTune amplifier to find and fix hotspots in your application code. Finally, package your application code and data so that it can be easily deployed to multiple devices.

Project – Build a Computer Pointer Controller

Use models available in the OpenVINO™ toolkit to control your computer pointer using your eye gaze.

The Edge AI market is forecasted to grow from $355 million in 2018 to $1.15 billion by 2023, at 27% annually.

All our programs include:

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

Career services

You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

Flexible learning program

Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

❗❗ Important Must Read ❗❗

Regarding Google Drive, we are only accepting 100 file requests per day because Google has banned our Drive account from publicly sharing larger files. Additionally, some websites are using our files without giving us credit. So we’ve made the course material / file private; you can request it, but it’s first come, first served. We are currently receiving over 6000+ file requests per day.

Now we have all updated Udacity Courses up to June 8, 2022 – new courses, totaling 78 Nanodegree Courses with full Materials (Note: We are the only website on the internet to have all the Updated Udacity Course).

We are no longer offering Dedicated Drives to new users.

Use This Password to Extract file: “udacitycourses.com“

We have Shared Mediafire / Mega.nz download link for Some Courses updated on 2019 in our Telegram Channel and More info about Dedicated Drive and for Support:
https://t.me/udact

Intel® Edge AI for IoT Developers Nanodegree Free Download Link: