Intel Courses

Intel® Edge AI for IoT Developers

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70% of data being created is at the edge, and only half of that will go to the public cloud; the rest will be stored and processed at the edge, which requires a different kind of developer. Demand for professionals with the Edge AI skills will be immense, as the Edge Artificial Intelligence (AI) software market size is forecasted to grow from $355 Million in 2018, to $1,152 billion by 2023, at an Annual Growth Rate of 27%. In the Edge AI for IoT Developers Nanodegree program, you'll leverage the potential of edge computing and use the Intel OpenVINO toolkit to fast-track development of high-performance computer vision and deep learning inference applications. Your projects will be to deploy a People Counter at the edge, design a Smart Queuing System, and build a Computer Pointer Controller, and you will actually be able to virtually test performance on the hardware.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.

Intermediate Intel® Distribution of OpenVINO™ toolkit for Deep Learning Applications

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course is designed for application developers who wants to deploy computer vision inference workloads using the Intel® Distribution of OpenVINOTM toolkit. The course looks at computer vision neural network models from a variety of popular machine learning frameworks and covers writing a portable application capable of deploying inference on a range of compute devices. The course is targeted for application developers, and places focus on examples and discussion of the development workflow. As such, the discussions include not only the details about how to use the toolkit itself, but topics like how to take benchmarks to compare compute devices or what to do when you encounter issues. The course is made so that it serves as a how-to guide for developing a computer vision inference deployment with the toolkit. By the end of the course, students will have the skillset necessary to deploy their own computer vision application using the toolkit.

Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWelcome to the Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications course!This course provides easy access to the fundamental concepts of the Intel Distribution of OpenVINO toolkit. Throughout this course, you will be introduced to demos, showcasing the capabilities of this toolkit. With the skills you acquire from this course, you will be able to describe the value of tools and utilities provided in the Intel Distribution of OpenVINO toolkit, such as the model downloader, model optimizer and inference engine.Who this class is for:This course is intended for learners with no prior experience with computer vision, although previous knowledge is helpful. This course is ideal for anyone interested in learning more about core concepts of computer vision applications and the Intel Distribution of OpenVINO toolkit.Estimated Workload: You should expect to allocate about 3 hours to complete this course. Learner pre-requisites: No prior knowledge of computer vision is necessary, although previous experience is helpful.

Intel® Edge AI Fundamentals with OpenVINO™

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Stay at the cutting-edge of AI technology by gaining practical skills for deploying edge AI. Learn how to use the Intel® Distribution of the OpenVINO™ toolkit to deploy computer vision capabilities inside a range of edge applications. Leverage the potential of edge computing and use the Intel® Distribution of the OpenVINO™ toolkit to fast-track development of high-performance computer vision and deep learning inference applications.

Intel® Network Academy - Network Transformation 102

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWelcome to the Intel® Network Academy – a comprehensive training program on network transformation.In this program, we will be covering the topic areas of software defined infrastructure (SDI) network functions virtualization (NFV), software-defined networking (SDN) and beyond.Network Transformation 102 covers topics such as VNF Operations & Development, Cryptography, and Hyperscan technology, students will dive into the benefits of Intel hardware and software and explore how to accelerate compute-intensive operations with Intel® QuickAssist Technology (Intel® QAT). Students will also have a chance to learn more about open source standards including DPDK and FD.io.

Intel® Network Academy - Network Transformation 101

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeWelcome to the Intel® Network Academy – a comprehensive training program on network transformation.In this program, we will be covering the topic areas of software defined infrastructure (SDI) network functions virtualization (NFV), software-defined networking (SDN) and beyond. The Network Academy includes a broad collection of online content and technical training aimed to assist technical professionals in the network industry to improve their knowledge of key Intel® technologies, industry trends, and technical aspects of NFV deployments.After completing this training course, please find Network Transformation 102 offered by Intel® Network Academy to advance your technical expertise.

An Introduction to Practical Deep Learning

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeThis course provides an introduction to Deep Learning, a field that aims to harness the enormous amounts of data that we are surrounded by with artificial neural networks, allowing for the development of self-driving cars, speech interfaces, genomic sequence analysis and algorithmic trading. You will explore important concepts in Deep Learning, train deep networks using Intel Nervana Neon, apply Deep Learning to various applications and explore new and emerging Deep Learning topics.

OpenVINO Beginner: Building a Crossroad AI Camera

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Class Central TipsLearn How to Sign up to Coursera courses for free1600+ Coursera Courses That Are Still Completely FreeIn this 2-hour long project-based course, you will learn how to Build a Crossroad AI Camera:Learning Objective 1: By the end of Task 1, you will be able to explain the OpenVINO™ Toolkit Workflow and OpenVINO™ Toolkit ComponentsLearning Objective 2: By the end of Task 2, you will be able to operationalize models using the Model Downloader utilityLearning Objective 3: By the end of Task 3, you will be able to perform Model Preparation, Conversion and OptimizationLearning Objective 4: By the end of Task 4, you will be able to Running and Tuning InferenceLearning Objective 5: By the end of Task 5, you will be able to create visualization of Person Attributes and Person Re-identification (REID) information for each detected person in an Image/Video/Camera input.