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Coursera

Intel® Technical Pro – Principles of AI Software & Ecosystem

Intel via Coursera

Overview

In the era of AI everywhere, businesses are reimagining every aspect of their operations, from finance to compliance, to see how AI can augment and automate workflows. Intel is helping businesses think differently about their enterprise AI strategies from the client to the edge to the cloud, helping customers maximize the value of their investments, reduce total cost of ownership (TCO), and get to market faster with enterprise-ready solutions. From this curriculum, you will learn how to expedite AI development using open standards and harness data to drive business transformation. Explore a wide range of security solutions within the broad Intel AI ecosystem to ensure data integrity and protection. Delve into the breadth of Intel's AI-based products with a deep focus on Intel’s AI software stack, toolkits, and Intel Developer Cloud for ease of AI solution deployments.e.g. This is primarily aimed at first- and second-year undergraduates interested in engineering or science, along with high school students and professionals with an interest in programming.

Syllabus

  • Intel Bringing AI Everywhere
    • What does AI Everywhere mean? What product should I consider for what applications or AI development stage? Learn all this and get sales guidance around AI from client to edge and cloud.
  • The Intel AI Software Value
    • oneAPI AI ToolKit, IPEX, OpenVINO™ - Learn the basics of positioning Intel AI Softwar
  • Introduction to Intel Gaudi AI Accelerators
    • This module will provide a foundational overview of Intel® Gaudi® AI accelerators, ensuring that everyone can grasp the core concepts including MLPerf results.
  • Getting Started and Model Migration with Intel Gaudi AI Accelerators
    • This module will guide users through the initial steps of using Intel® Gaudi® AI accelerators and address model migration, making it accessible to a wide audience.
  • Deep Learning Training and Inference with PyTorch on Intel® Gaudi® AI Accelerators
    • Intel® Gaudi® AI Accelerator is our AI-specific training and inference solution covering the largest foundational models and is competitive with Nvidia H100. The primary objective of this course is to provide comprehensive education to experienced deep learning engineers and data scientists who possess prior expertise in PyTorch and DeepSpeed. Throughout this course, participants will gain insights into the numerous advantages and exceptional capabilities offered by the Intel Gaudi AI accelerator for PyTorch training and inference workloads.
  • Edge AI Enabled by OpenVINO Toolkit
    • Learn how you can build computer vision models with Intel® Geti™ platform and deploy with OpenVINO™ toolkit using cross-platform solutions. OpenVINO toolkit has seen 111% YOY increase in downloads... learn why. It's a toolkit that is easy to use when implementing compression and optimization techniques for your deep learning inferencing needs. Most recently, in the 2023.1 release, the toolkit has expanded to support more LLM models, making Gen AI workloads more accessible on client and edge. Learn how customers can benefit from this great toolkit.
  • Navigating AI Software Optimizations for Intel Xeon Scalable Processors
    • Learn where to find and how to deploy Intel's open-source AI software optimizations for 4th and 5th Gen Intel® Xeon® Scalable processors to ensure you're maximizing AI performance on the systems that are running your business.
  • How Deep Learning AI Models Augment and Accelerate HPC Simulations on Intel Xeon CPU Max Series
    • We are witnessing the convergence and use of Artificial Intelligence (AI) in High-Performance Computing (HPC) due to the availability of large amounts of data and the rapid development and use of AI frameworks and models. This convergence has begun to reshape the landscape of scientific computing, enabling scientists to address problems in ways that were not possible before. A large number of HPC workloads are governed by the laws of physics, medical science, material science, etc. For example, take fluid flow using numerical methods for partial differential equations.
  • Taking AI on Intel Xeon Processors Into the Solutions Space
    • You have likely heard that AI runs well on Intel® Xeon® processors. Customers are looking to deploy AI on the general computing systems they already have, but they need solutions that they can deploy within their time, resource, and expertise constraints. Learn about AI reference solutions that are optimized on Intel Xeon CPUs based on both the infrastructure and software stacks that are predominantly used by enterprise customers.
  • Leading the AI Pc Era and Accelerating the AI ISV Ecosystem
    • Ushering in the AI PC era takes leadership products at scale coupled with a broad software ecosystem to deliver the best AI experiences. Come immerse yourself in the AI PC journey. Learn about the Intel® products, ISV partners, and how Intel is leading this new era of client computing.
  • Congratulations
    • Congratulations on completing this course.

Taught by

Jennifer James

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