About ACM Learning Center

The ACM Learning Center is a major part of ACM’s commitment to the lifelong learning and professional development of computing practitioners. Explore online books, courses, videos, and tutorials from top content publishers; ACM-produced keynote-style talks and deep technical dives on bleeding-edge topics from leading researchers and practitioners; and a variety of special member offers and other resources.

For ACM Professional and Student members, the Learning Center offers complimentary access (both desktop and mobile) to more than 55,000 e-learning assets across multiple platforms, including:

  • 50,000 online e-books, video courses and conference archives from Safari and O’Reilly,

  • More than 1,800 courses, 4,800 e-books, and thousands of “bite-sized” videos from Skillsoft and Books 24x7

  • More than 1,200 e-books from Elsevier’s ScienceDirect service, offering DRM-free downloads from publishers like Morgan Kaufmann and Syngress

Members and non-members alike enjoy access to ACM Learning Webinars, our popular series of webcasts presented by A.M. Turing and ACM Prize in Computing recipients, ACM Fellows, up-and-coming researchers, and accomplished practitioners.

In addition to many e-learning resources, ACM members are also eligible for special offers: exclusive tuition scholarships from online university partners, discounts on training toward popular vendor certifications, and more.
 

Learn about the volunteer committees that assist ACM with providing tools for lifelong learning for computing professionals and students.

Practitioners Board

Professional Development Committee

Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today. 

Why I Belong to ACM

Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.

ACM Case Studies

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.