Claude Code & AI Builder Lab
A Manifold AI Learning Original
Claude Code, Cursor, Python, MCP & Agents — learned by building.
A premium 8-week Builder Lab for working professionals. Self-paced weekly modules you go through at your own depth, paired with a live Weekly Build Room with Nachiketh. Lifetime portal access and module updates as the AI builder ecosystem evolves — Claude Code, Cursor, Python foundations, MCP, agents, sub-agents, and practical AI app creation, without the tool hype.
A complete 8-week builder path with lifetime access. Designed for serious working professionals.
Every week brings a new tool, a new framework, a new acronym. Claude Code. Cursor. MCP. Skills. Sub-agents. RAG. The noise isn't a knowledge gap — it's a path problem.
Every video covers a different tool. You can name them. You cannot yet sequence them into one builder workflow you'd trust.
Twenty bookmarks. Six half-started repos. Zero deployed apps. You learn enough to know what's possible — but never close the loop.
You've written some Python, but not enough to feel safe shipping. The gap between "I can read it" and "I can build with it" stalls you.
You can explain what MCP is. You can't yet design one workflow that uses it. That gap costs you in interviews, on Slack, and at work.
This is not another random AI tools course. This is a guided 8-week path where every week gives you something real — not a video to watch, a thing to ship.
No long lecture pile-ups. No tool tourism. Each week delivers one clear concept, one tool you practice with, one output you own, one proof you can share, and one next-level realisation about how serious AI systems actually work.
You will build a small AI-powered app for a real use case and deploy it on a beginner-friendly path. Not a screen-recording. A live link.
You'll pick a project track, build it across the 8 weeks, and deploy it to a public link. First, you will get the confidence of seeing your app live. Then we will show you how to think about the next level: reliability, safety, quality, and scale.
Each week has its own pain frame, its own concept set, its own output, and its own dopamine moment. By Week 8 you have shipped — and reviewed — a real AI app.
Eight weeks. Eight artefacts you can show. Drop them into your GitHub, your LinkedIn featured posts, your resume bullets, or your portfolio — in the order they were built.
Every tool is introduced through the builder workflow. The goal is not tool collection — it is knowing exactly where each one earns its place.
Read both lists. If you're on the left, this Lab is built for you. If you're on the right, a different path will serve you better.
The certificate is awarded on real submissions — the deployed app, the README, and the Next-Level AI App Checklist. Not for showing up.
The certificate is issued after you complete the practical builder journey. We don't hand it out for attendance — we award it for shipping.
To earn the certificate, submit:
One enrolment. Premium self-paced modules, a live Weekly Build Room with Nachiketh, lifetime portal access, and all future updates. Two tiers — the early price is a thank-you to early enrolees and closes when the standard window opens.
8 premium self-paced modules · live Weekly Build Room with Nachiketh · deployed AI app · certificate on submission · lifetime portal access & updates.
Direct answers to what comes up most often before joining.
The Lab is designed for serious working professionals, so it is built around two premium delivery layers:
1. Self-paced weekly modules — produced like a premium course, available the moment you join. Study at the depth and pace your week allows. No fixed daily attendance.
2. A live Weekly Build Room with Nachiketh — every week, a working session where we take questions, review projects, and build alongside you. This is direct senior-engineer time, not a recorded video.
You also get lifetime portal access, every Build Room recording, and all future module refreshes and updates as the AI builder ecosystem evolves. You buy the Lab once. You keep learning from it as the field changes.
No. Claude Code is one important part, but the course also covers Cursor, Python foundations, MCP-style thinking, agents and sub-agents, prompting workflows, and final app deployment. Think of Claude Code as the highlight tool, not the whole curriculum.
You can start with free or limited plans where available. Paid plans may make the experience smoother, but the course focuses on practical workflows and alternatives. We will not pretend the paid plans don't exist.
No. Week 3 covers just-enough Python for AI builders. You should have basic comfort with computers and a willingness to write small scripts. If you've never written a single Python function, start with Python fundamentals first.
Yes. In the final module, you will build and deploy a small AI-powered app for a practical use case — with a public link you can share. That link is your proof of work.
It will be a shareable, live AI app you can demo — a real builder milestone. After you ship it, Week 8 walks you through the next-level questions serious builders ask: reliability, safety, quality, cost, and scale. You'll leave knowing exactly what to work on next.
No. It is a practical Lab. It may help you understand concepts useful for certification-style learning, but it is not an official certification. The certificate you earn here is a completion certificate reflecting a real builder journey.
Yes. Every module video and every Build Room recording is stored in your Manifold AI Learning portal with lifetime access. You also receive module refreshes as Claude Code, Cursor, MCP and the agent ecosystem evolve — so the Lab continues to be useful long after you finish the 8-week journey.
The Lab is designed for serious working professionals, so every Build Room is recorded and posted to your portal. Live attendance gives you the fastest senior-engineer feedback, but the path is built so a missed week never blocks your project. Your progress is yours to drive.
Not for absolute zero-programming beginners. Some basic comfort with code or scripts is expected. If you've used a terminal, written even a tiny Python script, or done some coding before, this is built for you. If you haven't — do a foundational programming primer first, then come back.
You'll receive a next-learning-path guide based on your goals — whether that's interview explanation, system design, code review, RAG, evals, certification preparation, or deeper production AI engineering. There's no upsell pressure: the Lab stands complete by itself, and the next step is yours to choose.
If you are tired of collecting AI tools, this Builder Lab gives you a guided path to understand, build, deploy, and review your first AI-powered app — without the noise.
Join the AI Builder Lab →