Intel Courses & Certifications 2026

Certificate

Certificate Course on Developing Deep Learning Applications

The Certificate Course on Developing Deep Learning Applications is a self-paced 6 months course that is jointly developed, and also offered by the institutes' Intel Corporation, and ClouxLab. The candidates can start learning directly from the engineers of Intel, and the deep learning industry experts. With the syllabus of the course, one can learn how the developers can make use of the OpenVINO™ toolkit across industries

Certificate Course on Developing Deep Learning Applications training will be focused on developing different deep learning applications that can be used for demo stages, or learning stages of development of deep learning software. After the 2 certificates are offered the students will gain knowledge, and the expert skills for creating, and developing Computer Vision applications with the use of tools like Keras, OpenCV, Python, and Convolutional Neural Networks.

6 Months

₹ 4,999

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Certificate

Fundamentals of Parallelism on Intel Architecture

Fundamentals of Parallelism on Intel Architecture Certification Programme keeps candidates hooked with its engaging and informative course offerings. From forms of parallelism involved in modern Intel architecture processors to programming frameworks managing parallelism in an application, candidates will get first-hand knowledge of both simple and complex concepts surrounding the domain.

Learners will also work on many-core processors of today like Intel Xeon Phi architecture coupled with graded exercises for experimenting. The course is multipurpose where knowledge can be applied to data center workloads, HPC and even artificial intelligence. Most of all, learners will be able to deal efficiently with practicalities comprising task parallelism in shared memory with threads, data parallelism with vector instructions, memory architecture parallelism and optimized data containers, and parallelism in distributed memory with message passing.

Experts behind the drafting of the course material have ensured that the course takers, after taking this course, do not have to worry about handling acceleration of computational applications by orders of magnitude, since they will be taught how to keep their code future-proof and portable. Co-offered by Intel, experts have ensured to offer the right tools and peer expertise to learners so that they can succeed and learn to innovate.

5 Weeks

Intermediate

₹ Free

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Certificate

Introduction to OpenCL on FPGAs

Much like Nvidia’s CUDA programming, OpenCL is a standard for writing parallel programs, especially for heterogeneous systems. OpenCL instructions are also synthesised into the FPGL environment. The Introduction to OpenCL on FPGAs course will discuss the basics of OpenCL standards. You will also learn about the platform, programming models, execution, and memory that define the OpenCL specification.

Moreover, the Introduction to OpenCL on FPGAs training programme will also cover the syntax of the OpenCL language. The differences and similarities between CUDA and OpenCL will be highlighted as well. Lastly, the course will navigate through the applications of OpenCL language and its advantages.

Dennis Ejorh and Nikhil Venkatesh will be your course instructors. The Introduction to OpenCL on FPGAs online course content will be delivered through readings, video lectures, and hands-on practice exercises. Lastly, if you pay for the certificate option, you will also receive a completion certificate, which you can use to highlight your skills and improve your career prospects.

5 Weeks

Beginner

₹ Free

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Certificate

Intel® Network Academy - Network Transformation 102

The Intel® Network Academy - Network Transformation 102 programme is a comprehensive four-week training course on network transformation. In this programme, we will be covering the topics belonging to areas of network functions virtualisation (NFV), software-defined infrastructure (SDI), software-defined networking (SDN), and beyond.

Intel® Network Academy - Network Transformation 102 course also covers topics such as cryptography, hyper scan technology, and VNF operations & development. Moreover, you will also dive into the benefits of Intel software and hardware and discover how to accelerate compute-intensive processes using Intel® QuickAssist Technology (Intel® QAT).

Besides, the Intel® Network Academy - Network Transformation 102 training will also cover other open sources standards like DPDK and FD.io. The course material will be made available through video lectures mentored by expert faculty, along with practice exercises. By paying an additional fee, you can also get the completion certificate, which you can use to display your skills and land lucrative jobs.

3 Weeks

Beginner

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Certificate

Intel® Network Academy - Network Transformation 101

A descriptive manual for a fundamental redesign of a complete network, including the cloud, wide-area network, branches, data centers, remote user access, and network security infrastructure, is called network transformation. Intel® Network Academy - Network Transformation 101 online certification is created by Intel and is taught by Intel Network Academy which is offered by Coursera for individuals who want to develop their skills in network transformation and software networking operations.

Intel® Network Academy - Network Transformation 101 online course provides 2 weeks of digital resources that cover a range of the topic including software-defined infrastructure, network functions virtualization, software-defined WAN, network slicing, service provider transformation, software-defined networking, communication service provider, telco cloud, visual cloud, artificial intelligence, IoT licensing, IoT wireless technologies, radio access technology, cellular technology, and more. By the end of the Intel® Network Academy - Network Transformation 101 online classes, individuals will have acquired knowledge of key Intel technologies, industry trends, and technical aspects of NFV deployments.

2 Weeks

Beginner

₹ 2,699

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