Intel® is best known for its manufacturing of microchips; however, the company is also a major player in advanced technology for computer vision, network transformation, OpenCL on FPGAs, and deep learning.
In this video, Introduction to Virtual RAN – Intel® Network Academy – Network Transformation 101, you can get an overview of the Virtual Radio Access Network (vRAN) system. It covers the industry momentum to enable vRAN for the network transformational journey and how the access functions are virtualized.
6 Best Intel Training Courses:
- 1. Intel® Network Academy – Network Transformation 101 →
- 2. Introduction to Intel® Distribution of OpenVINO™ toolkit for Computer Vision Applications →
- 3. Intel® Network Academy – Network Transformation 102 →
- 4. An Introduction to Practical Deep Learning →
- 5. Introduction to OpenCL on FPGAs →
- 6. An Introduction to Practical Deep Learning →
Price: $39 one-time fee with a certificate. Free access is offered to the full course for those not desiring a certificate.
Duration: 18 study hours (Students can go as fast as they like. The normal pace is three to four hours per week for about five weeks).
Course Description: This is the first part of a two-part course. The course covers the topics of software-defined infrastructure (SDI), network functions virtualization (NFV), and software-defined networking (SDN).
What certificate will you get: After completing the coursework, students who pay for the course get a shareable certificate in Intel® Basic Network Transformation.
You will learn:
- How to use Software-Defined Networking.
- How to work with the Internet Of Things (IOT).
- Network architecture.
- Network function virtualization.
“Before I took this course, I was not aware of how deeply Intel® is involved in network dynamics. Connecting the virtual network functionality with IoT devices is something I am very interested in learning more about.” Matt H.
Best for: This course is the first part of two courses on network transformation. It is designed for networking professionals who have some previous knowledge of networking concepts and are interested in the technical aspects of network functions virtualization (NFV).
Price: $39 one-time fee to get a certificate. Audit-only mode offers free access to course materials but not quizzes and no certificate is issued for completion.
Duration: 3 study hours (nine videos, four readings, and nine quizzes).
Course Description: Students get an introduction to the Intel® Distribution of OpenVINO™ toolkit by viewing demos that showcase this toolkit’s usefulness. Students work with tools and utilities that include the model downloader, inference engine, and the model optimizer.
What certificate will you get: After completing the course, students get a shareable certificate for learning about the OpenVINO™ toolkit.
You will learn:
- Foundation knowledge of the OpenVINO™ toolkit.
- Phases of inference flow.
- Foundation knowledge of deep learning as applied to computer vision technology.
- Intel® hardware optimization techniques for data processing acceleration.
- Students learn about computer vision using OpenVINO™, Python programming, and C++.
“This course helped me get started with OpenVINO as a toolset to work with computer vision projects. It was easy to understand and fast to complete the course for a certificate. I hope my boss gives me a raise because of my certification.” Samuel K.
Best for: This course is for beginner students with no previous computer vision knowledge.
Price: $39 one-time fee with a certificate. Free access is available to the full course without a certificate.
Duration: 10 study hours (Students can go as fast as they like. The normal pace is three to four hours per week for about three weeks).
What certificate will you get: After completing this course, you will get a certificate in Intel® Network Transformation.
You will learn:
- Unit testing.
- PVNF operations and development.
- Hyperscan technology.
- How to speed up computational operations with Intel® QuickAssist Technology.
“This is course helped me quickly get up to speed with the current industry trends driven by Intel and the upcoming technology. I appreciated learning about DPDK and FD.io open source standards.” Wayne S. B.
Price: $49 one-time fee with a certificate for completion. Free access to course materials through an audit-only mode is available without the quizzes and no certificate for completion.
Duration: 17 work-study hours with 13 videos, eight readings, and four quizzes designed for a regular pace of four weeks to complete.
Course Description: This course provides an introduction to the field of Deep Learning that uses data mining of Big Data with artificial intelligence (AI) programming. The applications of the technology covered by this course include the development of autonomous vehicles, speech-recognition interfaces, genomic sequencing, and stock-trading algorithms. The course is in English with subtitles in Arabic, Chinese, French, German, Italian, Korean, Portuguese, Russian, Spanish, Turkish, and Vietnamese.
What certificate you will get: Students who complete this course receive a certificate in Practical Deep Learning.
You will learn:
- Foundational concepts of deep learning.
- How artificial neural networks function.
- How to train networks using Intel® Nervana Neon.
- How to apply Deep Learning to many other applications.
- Innovative and emerging trends in Deep Learning.
“The three instructors who combined their efforts to make this course really know their stuff. The field of Deep Learning is very exciting to me and I enjoyed taking this course very much.” John Ba F.
Best for: This course is for programming professionals and engineers who are encouraged to participate in the Intel® Developer Zone. The Intel® Developer Zone offers software tools and how-to guides for cross-platform application development. It provides information about computational platforms, programming code examples, and peer-to-peer expertise to help innovative developers succeed.
Price: $39 one-time fee with a certificate. Full-course free access is offered also but without the certificate.
Duration: 16 study hours (Students can learn at any speed they wish. A normal pace is three to four hours per week for four to five weeks).
Course Description: Students taking this course learn about OpenCL™ and using it in the FPGA environment by synthesizing it into the logic routines. The benefits of using the Intel® FPGA OpenCL solution are demonstrated. OpenCL™ is trademarked by Apple Inc. It is a standard for coding parallel programs in heterogeneous deployments.
What certificate you will get: Students who complete this course get a shareable certificate in OpenCL™ on FPGAs.
You will learn:
- Heterogeneous parallel computing.
- How to use OpenCL with platform and host-side software.
- How to execute OpenCL kernels.
- How to work with NDRange kernels and write an OpenCL program.
“I did not need to get a certificate because I am already employed as a network programmer; however, I was able to audit this course for free to improve my job skills and was delighted with the no-cost full-access to all the materials thanks to Intel.” Stussy GH.
Price: $69 one-time fee. Auditing the course materials is possible for free but without access to the graded portions and no certificate issued for completing the coursework.
Duration: 5 study hours (total 82 minutes), one reading, and two quizzes.
Course Description: This is an intermediate course for application developers who want to deploy computer vision inference projects using the Intel® OpenVINO™ toolkit. The course is in English with subtitles in French, Portuguese, Russian, and Spanish.
What certificate you will get: Upon completing this course, you will get a certificate in Deep Learning using the Intel® OpenVINO™ toolkit.
You will learn:
- Useful examples and discussions about development workflows.
- How to use the Intel® OpenVINO™ toolkit to take benchmarks and compare devices.
- How to develop a computer vision inference installation using the toolkit.
- How to deploy computer vision applications.
“This was a nice course to take after the basic course. It offered more practical uses of the OpenVINO toolkit and examples of how to use it.” William L.
Best for: This course is the follow-on course, after the basic one (reviewed above) for application developers who want to continue improving the use of the OpenVINO™ toolkit.
It is an exciting time to be involved in software development and network deployment because the rate of change is accelerating. A terrific way to stay up-to-date regarding industry developments is to take these official Intel® courses offered on Coursera. There is a lifelong learning process for those in this field. Engineers, programmers, network specialists, and technologists benefit from continually participating in ongoing education.
From my experience, Intel® is quite good at supporting developers. I encourage students to connect with other like-minded engineers and developers through the Intel® Developer Zone. There are communities of developers who participate in forums to discuss developments in the Internet of Things (IoT), artificial intelligence (AI), virtual reality (VR), augmented reality (AR), machine learning, persistent memory, game development, and so much more.
Enjoy taking these courses, and if you choose to participate in the Intel® Developer Zone, I look forward to seeing you there.