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PATH (Pathways for AI Training and Hiring) is sponsored by Google. org (grant to MIT and collaborators). The PATH initiative, supported by a Google.
org grant, aims to scale effective, affordable, industry-aligned AI training for entry-level and current workers, with a focus on transforming community colleges into engines for an AI-enabled workforce.
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PATH: Pathways for AI Training and Hiring | MIT RAISE Research / Research Projects PATH: Pathways for AI Training and Hiring Led by MIT RAISE + Georgia State University and supported by Google, PATH is a national initiative that connects research universities, community colleges, industry, and government to expand practical, industry-aligned AI training and career pathways.
The model emphasizes collaborative, project-based learning—where students work in teams on real-world challenges sourced from industry partners. The initiative is building state-based hubs anchored by research universities and community colleges, working with regional employers to design curricula aligned with local workforce needs.
Already, more than 1,000 students in Georgia are enrolled in PATH courses, spanning AI foundations, data science, deep learning, and agentic AI systems. PATH is creating clearer pathways from AI learning to real job opportunities through industry-informed micro-credentials and shared workforce skills. Balasubramaniam Ramesh (GSU)
According to the current listing, eligibility includes: Research universities, community colleges, and industry partners collaborating on AI workforce development. Confirm the full requirements in the official notice before applying.
PATH (Pathways for AI Training and Hiring) is funded by Google.org (grant to MIT and collaborators). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
Nebius Research Grants Program is sponsored by Nebius. The Nebius research grants program provides researchers with free access to GPU cloud, AI models, and Tavily's agentic search engine, along with Nebius' expertise to accelerate discovery and deployment in AI. It supports academic or scientific projects with clear objectives, innovative use of GPUs for AI, machine learning, data analytics or HPC, and demonstrated feasibility and potential impact.
Google.org is offering up to $3 million per organization across two AI challenges — one for government innovation, one for scientific breakthroughs. Eligibility, strategy, and what wins.
Read articleThe Google.org AI for Government Innovation Challenge offers $1-3M grants with an April 3 deadline. But it is part of a larger shift: tech philanthropy is becoming the R&D lab for public sector innovation.
Read articleAs a generation of electricians, welders, and machinists retires with too few replacements, funders have poured more than a half-billion dollars into skilled-trades training — Lowe's $250M, BlackRock $100M, Google $50M, and more. It is one of the clearest philanthropic theses in 2026. Here is the funder landscape, why 'AI-proof' framing is driving it, and how a workforce nonprofit should position to win these grants.
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