Ship complete products with AI agents
Take an idea to a working, deployed full-stack application using Claude Code and OpenAI Codex as your engineering team.
Training by Amzu · Online course
A hands-on training in secure, production-ready, enterprise-grade full-stack development with AI coding agents — covering Claude Code and OpenAI Codex from first prompt to paying customers.
What you take away
Most AI coding material stops at the prototype. This training is about everything after: the engineering, security, and operational discipline that turns agent-written code into software you can put in front of customers.
Take an idea to a working, deployed full-stack application using Claude Code and OpenAI Codex as your engineering team.
Apply the security, testing, and review disciplines that separate a demo from software a business can depend on.
Deploy, monitor, fix, upgrade, and monetise what you build — the whole lifecycle, not just the first commit.
The curriculum
From your first structured prompt to monitoring, upgrades, and revenue. Each module pairs concepts with hands-on work in Claude Code and OpenAI Codex.
How Claude Code and OpenAI Codex actually work — context, planning, tool use, and the workflows that make agents reliable rather than lucky.
Selecting languages, frameworks, and data layers that agents work well with — and that your future team can maintain.
Specifications, version control, testing strategy, and the habits that keep AI-generated codebases coherent as they grow.
Authentication, secrets, dependency hygiene, and OWASP-aligned practices — built in from the first prompt, not bolted on.
Shipping to the cloud and to platforms like Vercel and Railway — choosing the right home for each project, with CI/CD that agents can drive.
Continuous monitoring, incident response, dependency upgrades, and using agents to maintain software — the part most courses skip.
Payments, subscriptions, and pricing — turning a deployed application into a product people pay for.
A partially controlled build where you review every change, and a fully AI-led build where guardrails replace line-by-line review.
The complete session-by-session syllabus, project briefs, and tooling list are shared with the waiting list before the course opens.
What you'll build
The heart of the course. Full-stack web products with real authentication, data, payments, and deployment — the kind of application most businesses run on.
A focused look at building and shipping mobile apps with AI agents — where the workflow differs, and what changes for app-store delivery.
Two ways to work
The industry is split between AI-assisted engineering and fully autonomous delivery. One programme, two capstone projects — you'll practise both ways of working and learn when each one is the right call.
Agents propose; you decide. Every change passes through your review before it lands.
No line-by-line review. Agents plan, build, test, and ship — and your job becomes designing the guardrails they operate within.

Your instructor
CTO & Founding Director, Amzu · AI & Cloud Engineering
Venkatesh is the Chief Technology Officer and a Founding Director of Amzu, where he has architected the AI and cloud platforms behind the company's products — turning ambitious ideas into resilient, production-ready systems.
An AI, cybersecurity, and cloud strategy and development consultant for large financial services clients, he pairs deep engineering craft with a strategic view of how technology creates value. An alumnus of Saïd Business School at the University of Oxford, he works hands-on with AI coding agents every day — the same workflows this course teaches are the ones Amzu ships with.
Taught from practice
This isn't theory assembled from other people's blog posts. The workflows in this course are the ones behind Amzu's own enterprise platforms, internal agent systems, and a portfolio of published consumer apps.
Our enterprise vector-memory platform for RAG — deployed across GCP, AWS, Azure, Kubernetes, and air-gapped environments, with tamper-evident audit and layered guardrails.
Context-aware AI over organisational knowledge, with enterprise-grade security, auditability, and traceability built into every interaction.
AI agents with defined roles coordinating prospecting, outreach, and follow-up across Apollo, Resend, and Mailgun — running our own pipeline daily.
ZenWalk, HerFit, GrowHut's Verna, Dictaphone, and more — published on the App Store and operated in production with the same agent-driven practice.
The waiting list
This is a fully online, self-paced course — once it opens, you can start whenever suits you and learn at your own rhythm. Join the waiting list and you'll receive the full syllabus, launch date, and pricing before anyone else — with early access when the doors open.
We also arrange specific courses for enterprises — tailored to your team, your stack, and your schedule. Tick the enterprise option in the form and we'll be in touch.