Archives: Courses

This course provides a complete introduction on how to use the Intel® Movidius™ Neural Compute Stick (NCS) for low-power deep learning inference on edge devices. Topics covered include: How to install and use the Intel® … Read more

Bridging the gap between big data and AI, BigDL is a distributed deep learning framework built on Apache Spark*. This course takes you through the basics of AI to building professional systems using this easy-to-use … Read more

An FPGA provides an extremely low-latency, flexible architecture that provides deep learning acceleration in a power-efficient solution. Learn how to deploy a computer vision application on a CPU, and then accelerate the deep learning inference … Read more

This course teaches about time-series analysis and the methods used to predict, process, and recognize sequential data. Topics include: An introduction to time series and stationary data Applications such as data smoothing, autocorrelation, and AutoRegressive … Read more

This course provides an overview of computer vision on modern Intel® architecture. Topics include: Understanding how to use computer vision in industry Learning the main algorithms for image processing Exploring how machine learning is used … Read more

This course provides an overview of natural language processing (NLP) on modern Intel® architecture. Topics include: How to manipulate text for language models Text generation and topic modeling The basics of machine learning through more … Read more

This course provides an introduction to deep learning on modern Intel® architecture. Deep learning has gained significant attention in the industry by achieving state of the art results in computer vision and natural language processing. … Read more

TensorFlow* is a popular machine learning framework and open-source library for dataflow programming. In this course, you will learn about: The fundamentals of building models with TensorFlow* Machine learning basics like linear regression, loss functions, … Read more

This course is for developers, students, or industry professionals from other computer science and engineering fields who are curious about AI. Explore AI—what it’s used for and why—without the math that is involved with later … Read more

This course provides an overview of machine learning fundamentals on modern Intel® architecture. Topics covered include: Reviewing the types of problems that can be solved Understanding building blocks Learning the fundamentals of building models in … Read more