Build with AI: Supercharge Daily Productivity and Master Timeless Principles

Yuzheng Sun, PhD

Prev. Evangelist @ Statsig (Acq. by OpenAI), AI Director @ Tencent; Meta/Amazon

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

This course is popular

9 people enrolled last week.

The most effective way to master AI is to build with it.

As an ambitious professional, you use AI tools, follow the news, and see the potential. Yet, you feel a gap between your current ad-hoc usage and what's truly possible.

You see impressive demos but lack a clear path to apply them to your work.
The constant stream of new models and guides is overwhelming, making it hard to distinguish signal from noise.
You see a massive career opportunity but aren't sure how to capture it.

If this resonates, our course is for you. It is built on our core thesis: the most effective way to master AI is to build with it. That's why, as two PhDs, we emphasize application, not theory. We show you how to create practical solutions for real problems, and connect them to timeless engineering principles.

This intense, hands-on process transforms not only your skills but your habits and mindset, preparing you to keep succeeding in the age of AI.

Our method is proven: we have guided thousands of students (including employees from OpenAI, Meta, and Google) across 10 successful cohorts to master this shift, earning 4.9/5 ratings in the process. We iterate this course with every cohort, and give you access to lifetime updates and Q&A.

What you’ll learn

We show you what's possible with AI, then take you there.

Build a Q&A bot over your own documents (e.g., Confluence, internal wikis) using methods beyond RAG
Create automated workflows, like generating weekly summary reports from Jira tickets or processing inbound emails
Evaluate, debug, and systematically improve the output of LLMs in a systematic way

Understand the core mechanics of LLMs (e.g., context windows, attention) to confidently assess new models and tools
Develop a first-principles approach to prompt engineering, moving beyond simple templates to gain deeper understanding
Identify and design systems to mitigate inherent AI limitations like hallucination and reasoning failures

Identify and scope high-value AI opportunities within your own business workflow to maximize impact
Lead an AI project from an idea to a working prototype, ready for stakeholder review and feedback
Clearly articulate the capabilities, costs, and limitations of a proposed GenAI solution to stakeholders

Learn directly from Yuzheng & Yan

Yuzheng Sun, PhD

Prev. Evangelist @ Statsig (Acq. by OpenAI), AI Director @ Tencent; Meta/Amazon

Founder of Superlinear Academy. Prev. Statsig, Tencent, Meta, Amazon

Yan Wang, PhD

Applied Scientist @ Samsara | Olympic Torchbearer | Ex Pinterest/Microsoft | Ex Tech blogger with 100k+ subscribers

Who this course is for

Software Engineers & Developers
Ready to build reliable, scalable AI systems integrated into production workflows.
Technical Product Managers & Strategists
Seeking the hands-on knowledge to scope, architect, and guide AI initiatives with confidence.
Data Professionals & Automation Experts
Who want to transform proof-of-concept scripts into durable applications that multiply productivi

What's included

Live sessions

Learn directly from Yuzheng Sun, PhD & Yan Wang, PhD in a real-time, interactive format.

4 Hours of Live, Framework-Focused Sessions

Your learning is anchored by live sessions designed to give you a durable mental framework. We distill the most critical information on how AI works, teach you how to learn effectively, and provide concrete principles to guide you from your first line of code to a functional application.

Hands-On Projects & Live Office Hours

Solidify your knowledge through hands-on projects relevant to your daily work. In our office hours, we provide personalized guidance to unblock you, using cutting-edge tools like Cursor and Claude Code to build solutions live and demonstrate advanced problem-solving.

Extensive Library of Original Reference Materials

Your learning is supported by a 200+ page library of original materials, continuously updated to stay current. This detailed guide is designed to give you concrete answers and guidance when you encounter specific problems weeks or months after the course.

Lifetime Access to a Private AI Builders Network

Your enrollment includes lifetime access to our private network of over 5,000 professional AI builders. Share technical solutions, discuss new research, and advance your career alongside other serious practitioners in a dedicated Q&A community.

Certificate of completion

Share your new skills with your employer or on LinkedIn.

Maven Guarantee

This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.