For beginners to advanced developers, the Intel® AI Developer Program teaches about AI, how to make deep learning faster on Intel® hardware, and how to advance research. Learn from courses, connect with experts, and use the latest tools.
Step 1: Learn AI
Start with this large collection of courses, special resources for students and professors, and a library of research papers, webinars, and tutorials.
Written by experts, these courses cover the basics of machine learning and extend to advanced theory. Each course includes homework and example code to teach you how to build AI applications.
Gain practical knowledge of supervised learning algorithms, key machine learning concepts, and more. (12 weeks)
Learn the basics of deep learning, the fundamentals of neural, convolutional, and recurrent network architectures, and more. (12 weeks)
Access this extensive library of content written by developers, industry experts, and student ambassadors.
Topics include machine learning, developing AI software with Intel® hardware and tools, and the latest frameworks and libraries.
Read about AI innovations that use Intel® technology and how the technology is used to advance research and application development.
Step 2: Explore Frameworks
Use the most popular software frameworks to develop machine learning applications now optimized for Intel® hardware to provide greater speed and accuracy.
This open-source software library from Google* is equipped with optimizations for Intel® CPUs to increase speed.
Use this Python-based, Intel-optimized scientific computing package for deep learning training and inference workloads.