AlbanyCanCode and KingstonCanCode Announce Largest-Ever Summer Offering of Coding Courses

For Release: Immediate – Day, April 19th, 2020

With rising interest and heightened importance amid the rapid growth of the digital economy,
three popular classes will cater to learners of all ages seeking to transition to a software-sector career

Albany and Kingston, NY – AlbanyCanCode and KingstonCanCode, part of a nonprofit organization creating a new generation of software coders, are responding to the growing digital economy by offering their most ambitious summer schedule of coding courses. Driven by increased interest and the heightened importance of computer skills, three classes will be offered to enable individuals of all ages and backgrounds to gain the software development skills necessary to succeed in tech careers.

The courses include Front-End Web Development, presented in partnership with SUNY Ulster, and Python for Data Analytics and JavaScript Fundamentals, both offered in partnership with Capital Region BOCES. All classes will continue to be provided remotely, featuring hands-on, real-time instruction together with presentations from software-sector mentors in the Capital Region and Hudson Valley.

“The future is incredibly bright in the software industry, and our goal is to ensure that anyone in our community who is motivated to learn new skills and launch a high-tech career has the pathway to do so,” said Annmarie Lanesey, Founder and CEO of AlbanyCanCode and KingstonCanCode. “As our regional economy recovers and charts a path forward, we are more committed than ever to providing high-quality education, engagement, and opportunities for anyone seeking to be involved in the software industry.”

The Front-End Web Development course, which teaches technical skills necessary for user interface (UI) development and wire framing, will be held Tuesdays and Thursdays. This course represents a perfect starting point for individuals who have basic computer skills and wish to take their first steps into the field of software development.

Classes in JavaScript Fundamentals, the dominant scripting tool for front-end web development, will be held Mondays and Wednesdays. This course is intended for those who have taken Front-End Web Development in the past, or have had experience in coding, and wish to begin learning some of the most popular tools being used for web-based software today.

The Python for Data Analytics course will be held Tuesdays and Thursdays. In this course, students will learn the foundation of Python, with an additional focus on using the popular programming language for collecting, analyzing, and visualizing data.

All courses will begin during the week of June 14th and will run for 12 weeks, with classes from 5:45 to 8:45 p.m. Registration for Front-End Web Development can be found here*, registration for Python for Data Analytics can be found here*, and registration for JavaScript Fundamentals can be found here*.

At this time, AlbanyCanCode and KingstonCanCode are the only officially recognized CanCode programs. The organization is currently fielding inquiries from additional regions interested in offering programs in their communities.

* Note links are no longer available.


About AlbanyCanCode and KingstonCanCode
AlbanyCanCode is a 501(c)(3) founded in 2016, followed by KingstonCanCode in 2019, to develop non-traditional talent and advocate for a vibrant, inclusive tech talent pipeline in upstate New York. Operating on a stakeholder engagement model, the organization designs and delivers workforce training courses and hands-on K12 coding programs in alignment with the needs of employers, educators, talent and the community in general. The overall mission is to shift mindset about who can work in technology; to remove cultural and economic barriers to joining the tech workforce; and to establish and promote pathways to tech careers throughout the region. Learn more at www.albanycancode.org and kingston.cancode.org.

Steve Janack
Principal, The Janack Group
(518) 810-8050 | steve@thejanackgroup.com