Dallas ISD students help set Guinness World Record for largest AI programming lesson

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Dallas ISD students helped set a Guinness World Record title for the largest Artificial Intelligence programming lesson hosted by Capital One.

The high school students enrolled in Dallas ISD NAF Academies joined students from other school districts and volunteers from Capital One and Major League Hacking on April 17 to learn the fundamentals of Python coding language. The group then set the world record during Capital One Basic TrAIning: Bot Camp.

“Capital One created the Basic TrAIning curriculum in partnership with Major League Hacking to give students cutting edge resources in AI, software development and problem solving, and to introduce them to opportunities in STEAM fields during a critical period in their education,” said Arjun Dugal, CTO, Financial Services at Capital One. “We’re thankful for all of the students and volunteers who came out today to help us set the GUINNESS WORLD RECORDS title and show the world how fun and rewarding AI programming can be.”

Dallas ISD students help set a Guinness World Record

During the event, each student learned to build a Markov Chain Bot that learned to communicate like their favorite celebrity. They were then able to simulate a conversation with the celebrity through the bot. Dallas Cowboys tight end Jason Witten made a surprise appearance and spoke to students on the importance of STEAM in their future career paths.

“I am so impressed by the students and their hard work today in learning new skills in emerging tech, pushing the boundaries of their education outside the classroom,” said Witten. “Trainings like these help students become better problem solvers, innovators and leaders.”

The Basic TrAining: Bot Camp event launched Capital One’s initiative, in partnership with Major League Hacking, to reach 10,000 students in three years with the Basic TrAIning curriculum. The free curriculum teaches students the basic building blocks to the Python coding language through bleeding-edge educational practices, such as peer-led instruction and project-based learning, along with relatable real-world use cases of AI and machine learning.

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