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By the end of this course, students will have practical knowledge of:
The course is structured around eight modules of lectures and exercises. Each module requires one hour to complete.
This class introduces the basics of AI:
This class reviews how Intel hardware is used for AI. Topics include:
This class teaches about deep learning frameworks and provides:
This class explains the end-to-end AI training workflow. Topics include:
This class introduces the challenges of AI inference at the edge. Topics include:
This class introduces how to use Windows Machine Learning to accelerate AI development. Topics include:
This class introduces the Intel® Distribution of OpenVINO™ toolkit and how to use it to run inference on the edge. Learn about:
Complete this course with a review of the previous topics, including: