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Crypto Assets and the Blockchain

Crypto Assets and the Blockchain

This course is designed for individuals with little to no knowledge about cryptocurrency and the blockchain. During the 10 hours of course material, students will be introduced to the following concepts: blockchain principles, the differences between various crypto assets and blockchain technologies, individual level procurement and utilization, and security best practices. Completion of this course prepares students for higher level studies on blockchain technology and the associated security protocols.

John Chain

Course Trainer

John Chain (Blockchain Expert, Founder and President of Chain Enterprises LLC, Nevada, USA)

Long before founding Chain Enterprises LLC in Nevada, USA, John had been tackling unique problems in technology. From as early as age 11, when he took over his family’s IBM XT computer, he experimented with a bulletin board based on Wildcat! BBS and dove into Slackware Linux from a CD in the back of a computer magazine. Soon after Phrack, Alt 2600, and DEFCON led to self-study in software development and offensive Cyber Security.

John recently retired in Colorado after spending 12 years as a Green Beret with the 10th Special Forces Group of the US Army. During his service he developed offensive and defensive cyber solutions, worked as a Department of Defense trainer alongside a penetration testing organization within the defense community, developed custom built solutions with single board computers and off the shelf electronics, and managed various exercises and events around the globe with multinational partners.

When Bitcoin surfaced in 2009, he did some research and dedicated several machines to mining. Although the old mining hardware has long since disappeared, his dedication to explore and develop within the blockchain space continues to grow. No longer content with simply mining, John focuses his tech energy on creating unique solutions with existing hardware. His latest project leverages GPU mining hardware to create cluster machine learning and distributed rendering solutions.