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

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.

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.