AI Superpower Cohort 3

Research and Evaluation Manager

Chuanyan Zhu

Product managers who drive strategy, development, and launch of products.

Startup founders building new businesses, from MVP to scale.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Building autonomous AI agent systems that take actions, use tools, and orchestrate multi-step workflows.

Building prototypes and MVPs to test ideas quickly before committing to full development.

Model Context Protocol — building tool integrations and server connections for AI agents.

Building and deploying autonomous AI agents across messaging platforms using the OpenClaw open-source framework.

Using AI tools like Cursor, Replit, and Lovable to build and ship functional software without a traditional engineering background.

The Conductor's Playbook: the six moves you'll own by the end. The tools change every few months; these are what you keep.

18 AI Products · 50,000+ Students

Apple

Nathan Wang

Founder of a one-person company | 18 products in 18 weeks | PhD, ex-Apple & Meta

Ship a Real AI Agent Product in 4 Weeks, No Engineers Needed

<h3>Why I enrolled</h3>
<p class="p2-tall">I have a few ideas. Because my boss didn’t sponsor my study, I will test an OPC idea that hopefully can become a new source of income. I will take the opportunity to find the sweat spot where both AI and I can maximise our unique strengths to produce something meaningful and valuable.</p>
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    <h3>A breakthrough moment</h3><p class="p2-tall">During the process, I took away not only how to work with AI but also basic agent engineering principles and skills. I heard about context, harness, and loop engineering before. The course design guided me to see how they were used in my project. There are more to learn and to do to optimise the product before its formally launch. </p>

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<h3>What I’ll apply</h3>
<p class="p2-tall">An AI product can do the most tedious tasks for many education practitioners </p>
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Certificate

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