You've seen AI demos. Maybe you've even vibe-coded one. But shipping a real AI Agent — with auth, a database, and actual users? That's where everyone gets stuck. This 3-week sprint, condensed from a $9,800 private program, takes you from zero to a live, deployed AI Agent on your own domain.
On Lenny's Podcast, Marc Andreessen (a16z) noted AI is collapsing role silos, creating the "Super-empowered Individual" as the future of elite builders. His warning: move from writing syntax to orchestrating AI bots, using systems-level knowledge to evaluate and fix agents effectively.
Stop waiting for engineers. Build high-fidelity prototypes yourself to validate ideas and unblock your roadmap.
You know logic but hate the Web Stack. Use AI to bridge the gap and translate your rigor into shipping apps.
Stop paying agencies $20k. Escape the "No-Code" trap. Build, deploy, and own your production stack in 3 weeks.
Learn directly from Nathan in real-time, interactive format.
Go back to course content and recordings whenever you need to.
Stay accountable and share insights with like-minded professionals.
Share your new skills with your employer or on LinkedIn.
Pre-built prompts for memory extraction, agentic systems, and AI coding.
Complete codebase in production template. Clone and deploy immediately.
The exact blueprint to go from "vibe" to a live, production-ready agent in 7 days.
Full refund eligible up until the halfway point of the course.
4 live sessions · 41 lessons · 7 projects
Full lesson-by-lesson breakdown (all 41 lessons and 7 projects) is on the Maven course page.
2 hrs / week
2-hour weekly live build where we code together, review your progress, and unblock you. Short demos, guided implementation, and open Q&A.
2-4 hrs / week
Time you'll spend building your own AI production-ready app: following step-by-step tasks, wiring APIs and auth, fixing bugs, and polishing UX.
"I'm a Senior Machine Learning Engineer building GenAI applications and AI agents. I use Claude Code and Cursor daily - I thought I knew this space well. But Nathan's course completely shifted how I think about building AI products. It's not just about single agents - it's about designing agent operating systems where multiple agents share memory, learn over time, and grow with the user. Watching Nathan build 18 products in real-time and break down every architectural decision was unlike any course I've taken. It's such a pleasure to learn from someone who's actually doing this every day."
"I came into this with zero coding background—I was mostly 'vibe coding' and guessing my way through. I hit a few real hurdles, like wrestling with a login bug on a Sunday afternoon and dealing with data ambiguity (finding the right 'Bergen'!), but Nate's step-by-step logic and analogies made the technical mechanisms finally click. I went from feeling like a novice to actually building and deploying a functional weather intelligence platform that now automates data exports directly into our Azure Data Lake for demand planning. This course proved I don't need a CS degree to build serious, integrated tools for my job."
"I would say this course was great but not completely matching my needs about understanding how an LLM consumes context and how to improve that. But overall great experience!"
Turn spoken chaos into interview gold with AI. Speak your story, AI structures it into a perfect PAR narrative.
parfolio.app →Turn unpredictable weather into precise demand planning. Automates data exports directly into Azure Data Lake.
Live demo →Week 3 build. AI dedupes your authors and topics into one daily briefing.
curate.sowmyamahad.com →Built 15 AI Agents in 15 Weeks · Apple, Meta, LinkedIn
I've spent 15+ years at the intersection of AI, software, and hardware. As an educator, I've taught 50,000+ students across Udemy and LinkedIn Learning. As a builder, I've shipped 15 real AI products in 15 weeks. Earlier in my career I designed CPUs/GPUs and built production web and mobile apps, so I understand AI from silicon to shipped product.
What happens if I can't make a live session?
All sessions are recorded and you'll have lifetime access to the course materials. Learn at your own pace and revisit whenever needed.
I work full-time. What is the expected time commitment?
Around 4-6 hours per week, including live sessions and hands-on projects. You can adjust the pace with recorded sessions and flexible deadlines.
Do I need a coding or AI background to join?
No. We start from a clean template and use AI pair-programming tools (Antigravity/Gemini 3.0 Pro/Claude Opus 4.5) to guide you. Basic comfort with using a computer is enough.
Will I keep access to the code and templates after the course?
Yes. You'll keep full access to all starter repos, patterns, and the app you build. Reuse the template for future projects and continue with recordings and resources.
Why Claude Code + Antigravity / Gemini 3.0 Pro?
The industry shifted from chat to agents. Manager View lets you watch multiple agents build in parallel. Artifacts let you review plans, code and diffs. Gemini 3.0 Pro drives terminal, installs, tests, and debugs. Claude Opus 4.6 tops SWE-bench and designs systems.
What's the refund policy?
Backed by the Maven Guarantee. Full refund eligible up until the halfway point of the course.