AI · · 3 min read
Howard and AWS bring AI educators and students together
A two-day symposium at Howard University and Amazon headquarters examined AI teaching, research, governance and workforce preparation.
More than 400 students, faculty members and leaders from historically Black colleges and universities, community colleges and research universities took part in a two-day symposium focused on the future of artificial intelligence education.
Howard University hosted the opening day on September 21, while the programme continued on September 22 at Amazon’s headquarters in Arlington, Virginia. The event was organised through a collaboration between Howard and Amazon Web Services’ Machine Learning University, known as AWS MLU.
The gathering brought educators, researchers and industry representatives together for workshops, presentations and networking. According to reporting by the Howard University publication The Dig, its programme was designed to connect participants with teaching resources, research opportunities and perspectives on the skills needed in an AI-driven economy.
Three tracks for different roles
The first day at Howard began with a keynote plenary before participants divided into three tracks based on their roles.
Students joined the Amazon Cloud Connect Experience, which included opportunities to explore Amazon’s cloud-related work. Faculty members took part in the Educators Consortium, where curriculum development was a central focus. The Transformation Alliance brought together chief information officers and executive administrators to discuss AI governance and the relationship between education and workforce needs.
The day also included student demonstrations of applications, time to explore Howard’s historic campus and an evening networking session. The format placed students, educators and institutional decision-makers in separate but connected settings, allowing the symposium to address classroom instruction, campus leadership and career preparation at once.
Howard Provost and Chief Academic Officer Anthony Wutoh said the university’s work with AWS reflected its interest in ethical AI, fair access to technology and applications that produce meaningful social benefits. The university described technology as part of its wider academic and social-justice mission.
Jerome Johnson II, AWS director of professional services for the US Federal, Aerospace and Defense sector and executive sponsor of the AWS-MLU Educators Consortium, said the collaboration could help connect advanced AI resources with institutions developing future talent. He described the symposium as a “launchpad” for cooperation among students, educators and industry leaders.
Amazon sessions and student research
The second day moved the programme to Amazon’s Arlington headquarters, where participants received an introduction to parts of the company’s ecosystem. Sessions covered Career Choice, the AWS Developer Experience, BEN-Tech and internship opportunities.
Students and faculty presented posters during the day, followed by an Innovation Table Luncheon. Participants could also choose tours of Amazon’s AI Experience Center, AWS Skills Center and headquarters.
The combination of workshops, poster presentations, career sessions and tours gave the event a practical emphasis. Rather than limiting the discussion to the theory of machine learning, the programme linked education with cloud tools, internships, research communication and potential employment pathways.
Expanding access to AI education
AWS Machine Learning University is Amazon’s education initiative for machine learning and artificial intelligence. Its Educator Enablement Program works with HBCUs, community colleges and minority-serving institutions by providing faculty training, curriculum materials, hands-on workshops and opportunities for research collaboration.
The initiative’s stated aim is to make AI education more widely available and support a diverse, skilled workforce. That focus is significant for the institutions represented at the symposium, which included both predominantly undergraduate settings and research universities with different academic resources and workforce priorities.
Howard University, founded in 1867, is a private research university with 14 schools and colleges. It offers more than 140 undergraduate, graduate and professional programmes. The university says it produces more African American on-campus PhD recipients than any other university in the United States.
By hosting the opening day and participating in the AWS MLU partnership, Howard positioned itself as a convening point for conversations about how AI should be taught, researched and governed. The symposium also showed how an industry-university relationship can bring together people responsible for curriculum, institutional policy and student career development.
The event’s organisers presented the collaboration as part of a broader effort to prepare students for emerging technology fields while encouraging institutions to consider questions of ethics, access and public impact alongside technical training.