Intel® Edge AI Certification training courses can be started and completed at no charge. To get officially certified and receive a badge, you must complete the assessment and review process, which costs $99 for one year. Follow up with an annual recertification course to update your skills and credentials.
Certification training includes:
Hands-on experience with edge AI tools and platforms, including the Intel® Distribution of OpenVINO™ toolkit and Intel® DevCloud for the Edge
Use cases that detect safety gear, prevent retail losses, identify manufacturing defects, and solve other real-world problems with the combined application of computer vision deep-learning inference.
Development of your own edge AI solutions portfolio, drawing on libraries and APIs for TensorFlow*, PyTorch*, Open Neural Network Exchange (ONNX*), and other public models, running on your choice of Intel® DevCloud for the Edge hardware clusters.
During the “Intel Accelerated” webcast, Intel’s technology leaders revealed one of the most detailed process and packaging technology roadmaps the company has provided. The event on July 26, 2021, showcased a series of foundational innovations that will power products through 2025 and beyond. As part of the presentations, Intel announced RibbonFET, its first new transistor architecture in more than a decade, and PowerVia, an industry-first new backside power delivery method. (Credit: Intel Corporation)
Modern workloads are diverse—and so are architectures. No single architecture is best for every workload. Maximizing performance takes a mix of scalar, vector, matrix, and spatial architectures deployed in CPU, GPU, FPGA, and other future accelerators. Heterogeneity adds complexity that can be difficult to debug. This article introduces the new features of Intel® Inspector that support the analysis of code that’s offloaded to accelerators.
5G is so much more than just delivering better broadband. It’s also about enabling service providers to deliver all sorts of vertical market, specific applications to unlock and unleash the potential across a wide variety of industries. And with that, we expect the network to truly be transformed, be very flexible, be very server-like, and utilize all sorts of cloud technologies to unleash the potential of all these wide variety of use cases.
This video will demonstrate how to configure your Graphics Trace Analyzer view so that the layout best suits your use case, by altering track colors, adding or removing tracks, and reorganizing track positions.
This video will demonstrate how to open and explore a trace captured from a graphics application, while highlighting user interface features in Graphics Trace Analyzer to pinpoint CPU and GPU activity based on the captured and visualized on timeline tracks different platform and hardware metrics and performance events
Graphics Trace Analyzer Deep Dive | Part 1 | Configure and Capture a Trace | Intel Software
This video will demonstrate fundamental trace capture capabilities in Graphics Monitor that will aid in the configuration of a variety of performance data available for graphics application analysis trace files in Graphics Trace Analyzer.