Intel is famous for developing microprocessors found in most personal computers in the world.
The multinational technology company is the world’s largest earner of semiconductor chips used in most of the world’s electronic devices.
Intel microprocessors are supplied and used by many large technology companies, including Dell, HP and Lenovo. Intel also makes graphics chips, flash memory, motherboard chipsets and other computer equipment.
In recent years, Intel has invested heavily in the world of artificial intelligence, including the 2019 2 billion acquisition of AI chipmaker Habana Labs in December 2019.
Free courses offered by Intel
Intel® Developer Zone provides platform and technology insights, code patterns and tools and practical information to enable cross-platform application development to help developers be innovative and successful.
Join the Internet of Things, AI, VR, Persistent Memory and Game Development communities.
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How do I get a course?
These courses are offered from the Coursera platform, they are courses that you can get for free in certain conditions.
The first option is to select “Free Certificate Free Course”This way you will be able to access and complete the course content, but you will not be able to get a certificate of completion approved by the platform.
The second option is to choose “Audit Course”, With this option you will be able to access the video content of the course, but you will not be able to take the exam or get a certificate of completion. If you do not see the option to audit the course, you should check the bottom using scroll (in the form of a link).
Options vary by course, but with one of the two you will be able to access the content for free.
As if that weren’t enough, some courses have the option of financial aid, through which you can request support and become a borrower of a paid course.
You can view the following courses:
Intel® Network Academy – Network Transformation 101
In this program, we will cover Software Defined Infrastructure (SDI), Network Functions Virtualization (NFV), Software Defined Networking (SDN) and much more.
The Network Academy includes an extensive collection of online content and technical training aimed at helping technical professionals in the networking industry improve their knowledge of key Intel® technologies, industry trends and technical aspects of NFV implementation.
Data platforms, cloud networking and AI in the cloud
The purpose of the Data Platform course is to establish a strong foundation and working knowledge of data fundamentals, including data mechanics, databases and other basics of data processing.
This course will study specific components of data management, including relational classification of data, data lifecycles and basic databases, and data processing and analysis.
Intel® Network Academy – Network Transformation 102
In this program, we will cover Software Defined Infrastructure (SDI), Network Functions Virtualization (NFV), Software Defined Networking (SDN) and much more.
Network Transformation 102 covers topics such as VNF development and operations, cryptography, and hyperscan technology.
Students will also have the opportunity to learn more about open source standards with DPDK and FD.io.
Cloud essentials and uses
The cloud essential part of this course will help students identify all the critical aspects of cloud architecture. At the end of the course, they will show a good understanding of cloud technology and be able to define the main XaaS offerings. In addition, the key cloud usage model will be addressed.
Using the cloud component of this course helps to identify the critical business needs of the enterprise and the cloud ecosystem for application development and deployment.
Cloud technology and services
The Cloud Technology course aims to educate students on important products and technologies such as computing, storage and networking that make up the “cloud”. In addition, students will learn the basics of other technologies such as containers, media and telemetry.
The Cloud Services module explores the services available in the cloud environment. Students who complete this module will be able to describe the components of cloud services, including VPCs, networking, and cloud security. In addition, this module includes a discussion of key players in cloud supply lines and cloud channels.
Fundamentals of Parallelism on Intel Architecture
We will learn multithreaded vectorization with OpenMPMemory TrafficClusters and MPI
Introduction to practical in-depth education
This course introduces in-depth learning, an area aimed at enabling the use of large amounts of data around us, including artificial neural networks, self-driving cars, voice interfaces, genome sequence analysis and developing algorithmic trading.
You will explore key concepts in deep learning, train deep networks using Intel Nervana Neon, apply deep learning to a variety of applications, and explore new and emerging deep learning topics.
Intel introduces Intel® distribution of OpenVINO ™ toolkit for computer vision applications
Intel® distribution of OpenVINO ™ toolkit for machine vision applications
Introduction to OpenCL on FPGAs
OpenCL आहे is a standard for writing parallel programs for heterogeneous systems, such as the NVidia * CUDA programming language.
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