Good news! Intel Edge Insights for Industrial & IOT Online Courses now available at CSDN!

Intel has been investing a lot of resources and efforts in the field of IOT for quite a long time by launching a series of complete industrial solutions, winning recognition from many prestigious IOT companies.

To further accelerate the development of industrial AI, and better help and promote learning and exchanges between industry developers and experts, we are now proud to launch a series of Intel Edge Insights & IOT online courses at CSDN. This course is full of substantial content that builds the OpenVINO™ toolkit and software designed specifically for industrial edge computing, which are indispensable for customers’ industrial system solutions. Indeed, this course will explain in depth the principle and operation of edge computing software.

It not only allows you to understand Intel’s market strategy on industrial edge computing platforms, but to have a deep understanding of Intel’s edge insights software’s vision module and master the edge insights software’s remote management technology. In addition, there will be online lecturers who will demonstrate practical applications of edge insights in the industrial field.

Besides, as Intel has won the Best Developer Tool Award for its OpenVINO™ toolkit and, in order to introduce this development toolkit to more people, this course will begin with the basic concepts of AI by introducing relevant knowledge of AI and visual applications, and by helping you quickly understand basic concepts of the OpenVINO™ toolkit and application scenarios. The whole course includes video processing, knowledge related to deep learning, inference acceleration of AI applications, and a demo of the OpenVINO™ toolkit. This course will help you quickly master the basic knowledge of computer vision and related concepts of the OpenVINO™ toolkit.

In addition, Intel AI DevCloud, a platform for training machine learning and deep learning models, will be available for the first time as a live course. The platform, composed of server clusters powered by Intel Xeon Scalable processors, provides a series of frameworks and tools for free, including TensorFlow, caffe, Keras, Theano, and Intel distribution for Python. As an ideal choice for entry-level users, Intel DevCloud helps developers quickly learn how to train machine learning and deep learning models. Anyway, as GPUs are expensive while Devcloud is free to use.

Welcome to download the OpenVINO™ development toolkit. Learning while operating allows you to get a better course experience:  https://t.csdnimg.cn/poAu

Time Topic Experts
April 23

Overview of the Intel Edge Insights for Industrial

The target market, technical architecture, main functions, customer value, and application cases of the Edge Insights for Industrial

Bi Xiaoliang Intel Edge Insights for Industrial Solution Architect
Liu Jun  Machine Vision Industry Expert, Intel IOT China Industrial Solutions Team
May 13

Intel Industrial Edge Control Platform: Demonstration of the Real-Time Linux Operating System Driven By Xenomai 3.1

Introduce basic concepts of the Xenomai real-time system, and the relationship between the Xenomai real-time kernel and the Linux kernel; how to compile and build a real-time operating system based on Xenomai 3.1 and Linux 4.19.x versions from scratch; the most basic real-time testing method; how to build Ethercat servo motor application based on “igh ethercat master” software library

Meng Xiangfu Senior Application Engineer, Intel IOT Division Developer Empowerment Team
June 10

Intel Edge Insights for Industrial Vision Module

How to use the functional modules provided by the Edge Insights for Industrial to quickly build video and image processing solutions.

Zhang Fan Senior Application Engineer, Intel IOT Division Developer Empowerment Team
Bi XiaoliangIntel Edge Insights for Industrial Solution Architect
July 10

Intel Edge Insights for Industrial Remote Management

Introduce the Turtle Creek functional module of the Edge Insights for Industrial to realize remote device management through Things board and Azure.

Zhang FanSenior Application Engineer, Intel IOT Division Developer Empowerment Team
Bi XiaoliangIntel Edge Insights for Industrial Solution Architect
August 6

Introduction to the Intel Edge Insights for Industrial New Module

Edge Insights for Industrial continues to provide industrial customers with new general-purpose functional components. With forward compatibility, it provides more functions and optimized performance. This course will bring you new feature experience from an updated version of the platform.

Yao YuSenior Application Engineer, Intel IOT Division Developer Empowerment Team
Bi XiaoliangIntel Edge Insights for Industrial Solution Architect
September 9

Intel Industrial Edge Control Platform: Introduction to ARCN Virtual Machine Manager and Industrial Application Practices

Overview of flexible and lightweight Hypervisor-ARCN virtual machine manager; show the advantages of ACRN in embedded platforms from architecture to industrial application scenarios.

Build ACRN-based applications step by step, and choose the workload consolidation that suits you according to the actual scenario to maximize the effectiveness of ACRN

Cao JianboSenior Application Engineer, Intel IOT Division Developer Empowerment Team
Zhang DaoSenior Application Engineer, Intel IOT Division Developer Empowerment Team
October 14

Intel Industrial Edge Control Platform: Build a Time-Effective Network Test Bed Based On Preemptive Real-Time Linux

The Ethernet-based time-effective network is a major feature of Industry 4.0. Intel® provides users with a complete set of time-effective network solutions. This course uses a simple example to show you how to use Intel® platforms to build an Ethernet-based time-effective network and verify its performance.

Gong XiaoyanSenior Application Engineer, Intel IOT Division Developer Empowerment Team
November 19

Intel Edge Computing Cloud Development Platform

Based on the edge-oriented Intel ®Devcloud development platform, you can freely prototype and test AI workloads to implement computer vision solutions based on Intel hardware platforms. You can use the OpenVINO distribution version and the combination CPU, GPU, VPU and FPGA to test the performance of the model.

 

Introduction to the Intel OpenVINO and case sharing

It is a detailed introduction on how to use the OpenVINO toolkit to accelerate deep learning reasoning and how to quickly deploy Intel software tools for deep learning, and on each tool’s features. In addition to theoretical teaching videos, there are a lot of practical demonstrations for sharing.

Yin ChanjunSenior Application Engineer, Intel IOT Division Developer Empowerment Team
Zhou ZhaojingSenior Application Engineer, Intel IOT Division Developer Empowerment Team
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If you have any question about this course, you may click the [Ask Intel] button on the right to raise your question. We will select a few good questions for lecturers to give replies. If your question is selected, you will get a gift.

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    Click here to download the OpenVINO™ development toolkit
    Learning while operating allows you to get a better course experience

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