10 people enrolled last week.
Is this you?
Chatting endlessly with an “AI intern” instead of designing the context with clear principles.
Blaming “hallucinations” when the real issue is poor orchestration.
Trying to run an entire project from a single, overloaded chat window.
Treating AI like witchcraft and prompt spells instead of engineering.
AI gets better every day. But when it’s time to ship something serious, you don’t yet have a reliable way to make AI show up for you.
The problem isn’t AI. It’s how you’re using it.
This course exists for that exact gap.
AI is a new computiung paradigm. To use it well, you have to:
Unlearn old patterns
Install new mindsets and habits
Build a meta-learning system that can carry your career for the next 20 years
That's hard, and we take it seriously.
This course is designed to teach you how to fish. On top of lessons and projects, we built two unique tools:
A build platform that consolidates key APIs and lets you deploy your projects with one command—so you can build fast, not fight boilerplate.
A lifetime community where you can share projects, ask questions, and get unstuck long after the course ends.
The end of our course is the beginning of your learning, and we will be with you.
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
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 productivity.
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.
3 live sessions • 89 lessons • 5 projects
Jan
11
Jan
18
Jan
19

Understand the hidden business and technical motivations behind the push for a unified protocol in the LLM ecosystem.
Gain practical insights into making informed choices about MCP adoption based on real-world trade-offs.
Discover scenarios where adopting MCP could slow you down rather than accelerate your development.
Live sessions
3 hrs / week
Sun, Jan 11
12:00 AM—2:00 AM (UTC)
Sun, Jan 18
12:00 AM—1:30 AM (UTC)
Mon, Jan 19
12:00 AM—2:00 AM (UTC)
Projects
10 hrs / week
Async content
20 hrs / week
Save 25% until Monday
$1,999
USD