AIPTDEst. 1995
Instructor

Josh Alpert

United States patent holder in AI-powered gaming, Principal Software Engineer at Algo Works, and an instructor at Stanford University's Technology Training Program.


Josh Alpert is a Principal Software Engineer and applied AI leader with over twelve years of experience building large-scale platforms at the intersection of media, consumer technology, and artificial intelligence.

A graduate of the University of California's Computer Science and Engineering program, Josh brings both rigorous technical depth and exceptional product instincts to every endeavor. He is a named co-inventor on a United States patent in AI-powered gaming; a recognition that reflects not only his engineering capability but his capacity for original creative thinking in emerging technology.

As Principal Software Engineer at Algo Works, Josh operates at the frontier of applied AI, driving the architecture and development of the IntelliCopilot platform. His career includes architecting and leading the engineering of multi-million-user platforms for some of the most prominent names in American media, among them theusfl.com, the National Football League's summer league property, and fox.com, serving Fox Networks and Fox Sports. These engagements demonstrate a consistent record of delivering reliable, high-performance systems at scale.

Beyond his industry work, Josh is a distinguished instructor in Stanford University's Technology Program, where he designs and leads professional workshops on the leading frontier AI platforms; including Claude, ChatGPT, Gemini, and NotebookLM. His curriculum spans both platform literacy and applied practice: prototyping with Claude Artifacts, building specialized AI assistants with Claude Projects, AI-assisted coding, and the integration of generative AI into next-generation presentations.

Based in the Los Angeles metropolitan area, Josh brings a practitioner's perspective to his teaching, translating real-world engineering experience into accessible, immediately applicable instruction. His fluency across rapidly evolving AI models and his ability to adapt as the landscape shifts make him a rare voice in both the classroom and the industry: equally at home writing production code and shaping how professionals learn to work with the technologies transforming their fields.