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Nathan Wang

Nathan Wang

3K Subscribers

Founder, Ipsion AI & Soul AI · ex-Meta AI/AR, ex-Apple · 50,000+ students

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Nathan Wang will teach you to build AI agents that hold a job

I build AI agents that hold a job, and I teach teams to do the same.

At Ipsion AI I built AgentOS and ClawBot, which lets you hire AI agents like employees and run a one-person company. Ipsion runs on it: growth, engineering, research and publishing are staffed by agents.

Before that, four years at Meta as a Staff TPM owning the embedded and user OS for the AI/AR glasses, and four years at Apple as a Senior TPM on iPhone, Watch and AirPods. Before Apple, semiconductor engineering and a US patent. PhD in engineering.

I have taught 50,000+ students: 17 AI courses on Udemy across 50+ countries, a 24-lesson agent course for LinkedIn Learning, and live cohorts here on Maven. Many write no code at all. What I teach is how to brief an agent crew, judge what it builds, and ship something real.

Previously at
Apple
Meta

Alumni reviews

Helen

Live cohort
Research and Evaluation Manager · University of Salford

Ship a Real AI Product with a Self-Improving Agent, No Engineers Needed

What I gained from this course went far beyond my initial learning goals. I started with the simple objective of building a prototype demo, but now I have actually begun turning the product into a real business. Without Nathan’s well-designed curriculum, timely feedback, and inspiring guidance, it would have been impossible for me to get this far. From a professional educational evaluator’s perspective, Nathan’s course isn't perfect; there is room to improve regarding scaffolding for learners who lack web application product development experience. However, the excellent tutor-learner interactions in live lessons and on the Maven platform more than compensated for that. I took away some great insights that I believe professors in higher education institutions could truly benefit from.

Leon

Live cohort
College Student · Carnegie Mellon University

Ship a Real AI Product with a Self-Improving Agent, No Engineers Needed

This is a great course and helped me gain a better perspective on the future of AI and how to start my own endeavors with the help of AI agents. The instruction was helpful and insightful, contributing greatly to my understanding and the development of my own project.

Sowmya

Live cohort
Product Manager · Stealth

Ship a Real AI Product with a Self-Improving Agent, No Engineers Needed

This course was great to get a systems-level understanding of Agentic AI tech. Using the details in the course, I was able to build a working end-to-end solution using LangChain agent, Flutter SDK(Frontend), FastAPI(backend), Firebase(backend) and the code was containerized using Docker and hosted on GCP. I also had the main site registered on Lovable with GoDaddy domains and developed sharable URL to my app!!. I had only used LLMs for chat before and this course showed me how to build a working end-to-end AgenticAI app through vibe coding!. In the final version, my app had 9000 lines of AI-generated code developed over a week!. Highly recommend this class!!

Keith

Live cohort
Retiree · KDI

Ship a Real AI Product with a Self-Improving Agent, No Engineers Needed

Nate is a great instructor! I learned a lot in the course. It taught me the basics and since I have moved on to an openclaw like environment. Nate puts a lot of time and effort into making sure the student succeeds. If you are new to the field, you will benefit a lot from this course.

Yuxin

Live cohort
Full time NSF · Singapore armed forces

Ship a Real AI Product with a Self-Improving Agent, No Engineers Needed

The course is easy to follow even if your not a software engineer. The end result gives full control, even if the MVP is not perfect you can always add more in over time as feedback comes in. I highly recommend this course. The teacher Nathan Wang gave very good advice that help me an non software engineer get through this course with ease and come out with a working website.