Drake State Community & Technical College is participating in the AWS–Machine Learning University Educators Consortium and Transformation Alliance. The college is one of 14 historically Black institutions working to broaden access to artificial intelligence and machine learning education in Alabama.

The meeting culminated in the formation of the Alliance for AI and Machine Learning, a groundbreaking initiative co-led by Dr. Calvin Briggs of the Southern STEM Center and Dr. Majed Dweik of Alabama A&M University. This new alliance will serve as a catalyst for integrating AI across educational institutions and strengthening the state’s talent pipeline.

“Industry-aligned AI and machine learning teaching and research are essential to preparing the workforce of the future and ensuring that innovation benefits everyone,” said Margie Vela, Senior Program Manager-Machine Learning University, AWS. “We’re proud to support our education partners across the Southern Region as they lead the way in advancing inclusive innovation that connects learning, research, and real-world impact.” PR2

“Drake State is committed to ensuring that our students are not only prepared for today’s workforce but are equipped to lead in tomorrow’s innovation economy. Through this partnership with AWS and the Machine Learning University Educators Consortium and Transformation Alliance, we are opening doors to cutting-edge AI and machine learning education that will empower our students to create solutions for real-world challenges and drive inclusive progress across Alabama and beyond,” said Lydia Owens, Business, Computer Science, and Engineering Technologies Division Chair, Drake State Community College.

This initiative aims to support a more inclusive tech talent pipeline while contributing to Alabama’s growing presence in machine learning education and research. By expanding AI and machine learning opportunities for students at historically Black colleges and universities, the program provides training that can help shape how these technologies are developed and applied. Participants may go on to create algorithms, design AI tools that address community needs, or pursue careers in the broader technology sector, contributing to ongoing developments in the field.