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will.i.am Launches AI Course at ASU Hollywood Studio

By Artūras Malašauskas Apr 30, 2026 4 min read Share:
Tech entrepreneur and musician will.i.am will teach a 15-week course on agentic AI at Arizona State University's Hollywood location, beginning spring 2026.

The intersection of entertainment and artificial intelligence education just got a high-profile instructor. will.i.am, the Black Eyed Peas frontman turned tech entrepreneur, announced a formal partnership with Arizona State University to design and teach a new course titled "The Agentic Self."

The 15-week class is scheduled for spring 2026 and will be taught from will.i.am's Hollywood studio. Some students will attend in person while others join remotely from ASU campuses in Los Angeles, Arizona, or online. The course represents a significant pivot in how universities are approaching AI literacy, moving beyond abstract theory into practical application.

According to the official ASU announcement, will.i.am will be appointed a professor of practice in The GAME School, ASU's unit focused on increasing digital fluency for the next generation of learners. The musician brings more than a decade of hands-on AI development work to the classroom, along with advisory experience at Fortune 100 companies.

The course concept addresses a specific anxiety in the AI era: job displacement. "The Agentic Self represents a solution to AI replacing human jobs," will.i.am stated during the announcement. Students will learn foundational AI knowledge applicable across disciplines while building an AI universal learning companion they can fine-tune and retain throughout their careers.

This isn't just a lecture series. The physical reality of the course matters. Students will work in a Hollywood studio environment, not a traditional lecture hall. They'll interact with AI tools through will.i.am's FYI.AI creative productivity platform, which is being adapted into EDU.FYI specifically for educational use. The platform leverages NVIDIA technology to give students hands-on experience creating and collaborating with AI agents.

Richard Kerris, vice president of media and entertainment at NVIDIA, noted the collaboration creates "a foundation for the next generation of leaders to develop the skills to create and work with AI agents in ways that are empathetic, ethical and empowering." The emphasis on empathy and ethics is notable given the industry's current trajectory toward pure optimization.

ASU President Michael Crow framed the partnership as part of the university's broader innovation strategy. "Our graduates must be ready for the powerful shift in jobs toward AI," Crow said. The university has been named the most innovative by U.S. News & World Report for 11 consecutive years, and this course fits that positioning.

The announcement came during the U.N. General Assembly in New York City, where will.i.am and ASU officials also discussed AI upskilling at an "AI for Good" event. will.i.am serves as a goodwill ambassador for the United Nations' International Telecommunication Union. ASU became the first university partner-member of the ITU's AI Skills Coalition, joining founding members like Amazon Web Services and Microsoft.

Frederic Werner, chief of strategic engagement for the International Telecommunication Union, highlighted ASU's scale: "With more than 200,000 learners served annually, ASU has scaled cutting-edge training in artificial intelligence, engineering and digital skills through innovative platforms and collaborations."

The course structure reflects the current state of AI education. Rather than teaching students to use AI as a black box, they'll learn to build and customize AI agents. This distinction matters. Using a pre-built chatbot is one thing; understanding how to train, fine-tune, and deploy an agent for specific tasks is another skill entirely (and frankly, the one that will actually matter in five years).

ASU's Herberger Institute for Design and the Arts already offers multiple AI-related courses, including "AI in Music Production" and "Creating Games with Artificial Intelligence." The will.i.am course adds a celebrity-adjacent dimension that could attract students who might not otherwise enroll in technical AI coursework. The Hollywood location itself serves as a recruitment tool.

There's also a business angle here. will.i.am's i.am Angel Foundation empowers 15,000 Los Angeles area high school students with STEM skills. The course could serve as a pipeline for that foundation's work, creating a feedback loop between entertainment industry education and broader community outreach.

The timing aligns with broader industry shifts. As AI technologies mature in 2026, the focus is moving from general-purpose models to specialized applications. The course's emphasis on building custom AI agents reflects this trend. Students won't just learn what AI can do; they'll learn how to make AI do specific things for specific purposes.

Whether this model scales beyond ASU remains uncertain. The Hollywood studio location creates logistical constraints. Not every university has access to a celebrity's production space. The EDU.FYI platform could be more widely adopted, but that depends on NVIDIA's willingness to license the technology broadly.

The real test comes in spring 2026. Enrollment numbers, student outcomes, and whether the AI companions students build actually prove useful in their careers will determine if this is a replicable model or a one-off celebrity endorsement. The technology works. The question is whether the educational framework does too.

For now, the course represents a convergence of entertainment, education, and AI that few institutions could replicate. Whether it changes how universities teach AI or simply adds another line to will.i.am's resume depends on what happens when the first students walk through that Hollywood studio door.

Arturas Malas Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn
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