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Membership plans

Common questions

An Applied AI Engineer doesn’t just “chat” with AI; they build the systems, databases, and
logic flows that make AI work for businesses. This course takes you from “Low-Code”
(Microsoft Copilot) to “Pro-Code” (LangGraph), ensuring you can architect, secure, and
deploy autonomous AI agents in real-world environments.

Information is free, but transformation requires mentorship. While we utilize
industry-standard resources as our “textbooks,” your fee covers the professional-grade Lab Scenarios, personalized code reviews, weekly mentorship sessions, and 4 weeks of supervised Work Experience. We don’t just teach you the syntax; we teach you how to survive a real AI engineering job.

No. This course is designed for “Technical Problem Solvers.” While the latter half of the course involves Python (LangGraph), we provide the bridge you need to transition from low-code tools to pro-code development. If you are comfortable with logic and basic data concepts, you can succeed here.

LangGraph is the cutting edge of AI development. It allows you to build agents that can
“think” in cycles, correct their own mistakes, and remember users over long periods.
Mastering LangGraph puts you in the top 5% of AI developers globally.

How does the 4-week Work Experience work?

In the final month, you stop being a "student" and start acting as a "Consultant." You will be assigned a complex, multi-layered business brief. You will work in sprints, attend "stand-up"meetings with your mentor (acting as your Senior Engineer), and deliver a full-stack AI solution that meets professional standards.
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Logistics & Careers

Expect to spend approximately 15–20 hours per week. This includes roughly 5–7 hours of core content and 10–13 hours of hands-on lab work, project building, and mentorship sessions.
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