Track 03 · Working Developers & Engineering Leaders

AI Engineer: Ship Faster With AI.

Your virtual developer — ship faster with AI at every stage of the build. For working developers who want to use AI to compress the entire development cycle — from system design to production deployment.

Duration

9 modules + Demo Day · 60 min each

Format

Cohort-based · Flexible Delivery

Prerequisite

Python or JavaScript experience

Built For You

Who This Track Is For

Developers

Backend, full-stack, or mobile engineers who write code every day and want AI embedded in every step — from reading a codebase to shipping a pull request.

BackendFull-StackMobile

Testers & QA Engineers

Software testers and QA engineers who want to write smarter test suites, automate more coverage, and debug with AI as a genuine co-pilot.

QAAutomationTesting

Engineering Leads

Tech leads and engineering managers who set the standards, review AI-assisted code, and define how their teams adopt AI — responsibly and at scale.

LeadershipArchitectureStandards

Curriculum

What You'll Learn

Nine hands-on modules plus a Demo Day that take you from AI-assisted coding fundamentals to deploying a production capstone project.

Module 01

How AI Changes the Way Engineers Work

Understand where AI fits in the development cycle: planning, coding, review, testing, deployment.

Module 02

Claude Code: Your Virtual Developer in the Terminal

Master Claude Code: context management, task framing, and continuous improvement loops.

Module 03

Prompting for Developers

System prompt techniques, context management, and chain-of-thought for code tasks.

Module 04

Working in a Real Codebase

Use AI to read, understand, and extend existing codebases — no need to read every file from scratch.

Module 05

AI for System Design

Decompose complex features into architecture and task lists with AI — before writing a single line of code.

Module 06

Bootstrapping a Large Project

Scaffold a full-stack app from scratch using Claude Code: backend + frontend running in 45 minutes.

Module 07

From Ticket to Pull Request With AI

Take a feature through the full pipeline: requirement → design → code → review → merge-ready.

Module 08

Testing & Debugging With AI

Write complete test suites and debug with AI; find and fix at least 3 real bugs from tests.

Module 09

Production: Deploy, Performance, Security

Deploy your capstone, run performance checks, and conduct a security audit — all AI-assisted.

Demo Day

Present your deployed capstone project to the group; audience interacts with the live application.

Your Stack

Your Engineering Stack

Claude Code

Cursor

Git/GitHub

VS Code

Terminal

CI/CD Tools

Proof

From Fullstack to AI Engineer

Graduate Story

Shipping Features 5× Faster

"As a Technical PM, I bridge product and engineering daily. AI Engineer gave me the tools to prototype faster, review code with AI assistance, and compress the cycle from ticket to production — my team's velocity jumped within weeks."

Frank Dinh, Technical Product Manager at Got It, Inc.

5×

Faster shipping

30%

Team velocity increase

Production features shipped

After Graduation

What you walk away with.

A deployed capstone project, a production-grade portfolio, and the skills to lead AI engineering at your company.

ZTO Labs AI Engineer Certificate

Credential that signals production-grade AI engineering capability to employers and clients — issued by a team of Claude Certified Architects.

Capstone Project

A full-stack application built and deployed with AI-assisted development — from system design to production, portfolio-ready.

Engineering Community

Lifetime access to the developer alumni network, code reviews, and advanced track discounts.

Ready to ship AI-powered features?

Book a free consultation and get a personalized recommendation based on your goals and experience.