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

Working Developers
Experienced engineers looking to master AI integration and stay ahead of the curve in AI-first development.
BackendFull-Stack
Engineering Leads
Tech leads and architects building AI strategies for their teams and organizations.
ArchitectureStrategy
Backend/Full-Stack Engineers
Build scalable backend systems, APIs, and microservices powered by AI.
APIsSystems
Dev Teams
Engineering teams starting their AI journey and needing to upskill quickly.
TeamsUpskilling
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

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.
Faster shipping
30%
Team velocity increase
3
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.

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.