MIT, in collaboration with Georgia State University and a growing network of academic institutions, has announced expanded work under PATH (Pathways to AI Training and Placement) – a multi-year initiative designed to increase effective, affordable, industry-aligned AI training for entry-level and current workers, with a specific focus on transforming community colleges into engines powering an AI-enabled workforce for the nation.
“In the age of AI, economic opportunity and mobility will depend on whether people can develop practical, industry-relevant AI skill sets and mindsets, not just familiarity with the tools,” says Cynthia Brazile, PATH’s principal investigator (PI) and professor of media arts and sciences at MIT. “This means combining practical, on-the-job-learning experiences with strong technical foundations and responsible design, along with the professional and human skills that employers are looking for.”
To make this possible, the initiative is creating state-based centers run by research universities and community colleges. Each hub works with regional employers to design courses that reflect the needs of local industry. The program also provides professional development for trainers and develops modular, open educational content that institutions can adapt and share.
“Artificial intelligence is shaping every sector of the economy, and the United States will need more people who understand how to build with these technologies and apply them responsibly,” says MIT President Sally Kornbluth. “Through PATH, MIT RAISE is harnessing our convening power to bring together community colleges, industry, research universities, and government to create human-centered AI pathways that lead to shared prosperity. When research universities contribute their expertise to expand access and economic mobility, we strengthen both the nation’s workforce and our collective capacity for innovation.”
Unlike many large-scale online training efforts, PATH emphasizes individual, collaborative learning. Students work in teams to solve real problems brought to them by industry colleagues. These projects reflect the challenges graduates face in the workplace, helping them develop judgment, communication, collaboration and ethical awareness, as well as the technical skills that employers increasingly value.
The initiative’s first two centers launched earlier this year in Massachusetts and Georgia.
“As the PI for the Georgia PATH Hub, we are very excited by the significant initial momentum, with more than 1,000 GSU students enrolled in PATH courses,” said Arun Rai, Regents Professor, Howard S. says Balasubramaniam Ramesh, Regents Professor and George E. Smith Eminent Scholar Chair at GSU, Starks Distinguished Chair and director of the Center for Digital Innovation at Georgia State University (GSU). “Our curriculum, co-designed with MIT RAISE and spanning AI foundations, data science, deep learning, and agentic AI systems, is now being shared with partner institutions including Georgia Gwinnett College, GSU Perimeter College, and Clark Atlanta University. By leveraging the University System of Georgia’s FinTech Academy to expand work-based learning opportunities, we are building a collaborative ecosystem that will rapidly expand the state’s AI workforce. “Advances the capabilities and builds solid, job-ready skills for our diverse student population.”
GSU President Brian Blake says, “Our collaboration with MIT reflects a shared commitment to strengthening the nation’s AI talent pipeline. Georgia State University brings a distinctive strength to this effort – the ability to prepare students of all backgrounds for AI-enabled careers at scale. By combining academic rigor with strong industry partnerships and work-based learning, we are translating advances in AI into practical skills and expanding access to opportunities in this transformative era.”
In Massachusetts, Quinsigamond Community College students are participating in Data Science in Action, a course that introduces AI-enabled data analysis and engineering. The class includes a practical Action Lab, modeled after the experiential learning programs at the MIT Sloan School of Management. David Birnbach, a lecturer at MIT Sloan, leads the design framework for Path Action Labs. Working with industry partners, students tackle real data challenges while building portfolio projects and professional connections.
Beyond individual courses, PATH is creating clear pathways for students to translate AI learning into real job opportunities. Through a shared set of industry-informed micro-credentials and workforce skills, students will gain the practical abilities that employers are really looking for, as well as the human skills needed to succeed on the job, such as communication, problem-solving and collaboration.
The MIT Skills Taxonomy team, led by Katerina Bagiati in collaboration with Professor Tom Malone of the MIT Sloan Center for Collective Intelligence, is mapping emerging skills and roles in AI in areas such as financial technology (fintech), information technology, and business operations, with plans to expand into areas such as health care, manufacturing, and creative media. The goal is to help students build skills that are relevant, recognized, and directly tied to growing career paths.
The initiative is supported by a grant to MIT from Google.org, which is helping MIT and its partners create a multi-state network for AI workforce development.
“MIT’s PATH initiative offers a blueprint for expanding opportunity in the age of AI,” says Shanika Hope, director of Google.org. “By connecting research universities, community colleges and industry partners, it helps turn innovation into real jobs and sustainable career pathways.”
PATH is led by Brazile, who has brought together a cross-MIT team with expertise in AI literacy, workforce pedagogy, teacher professional development, open education, research, and the future of work. Brazile is a professor and director of the MIT RAISE Initiative. Eric Klopfer, director of the STEP Lab and co-director of the MIT RAISE Initiative, serves as co-PI on this award. The GSU leadership team includes PIs Arun Rai and Balasubramaniam Ramesh.
