The right track for every role.

Choose your path based on your role, experience level, and career goals. Each track is designed with real professionals in mind.

Track 01

AI Practitioner

For Non-Technical Professionals

  • AI assistant for daily work
  • Delegate tasks to AI the right way
  • Build a sustainable AI workflow
  • 7 modules + Demo Day
Learn More
Track 02

AI Pro

For Non-Developers Building AI

  • Build your own AI agent — no code
  • Connect agents to real data
  • Deploy and run agents 24/7
  • 8 modules + Demo Day
Learn More
Track 03

AI Engineer

For Working Developers

  • Ship faster with AI-assisted coding
  • Master Claude Code & Cursor
  • From ticket to PR with AI
  • 9 modules + Demo Day
Learn More
The ZTO 7-Step Learner Framework

Seven steps. One outcome: Applied AI.

No matter your track — this is how every ZTO learner moves from idea to impact. A repeatable process you'll use long after the program ends.

Step 01 — Clarify Your Objective
01
Understand

Clarify Your Objective

Start every AI task by defining exactly what you want to achieve. The clearer your objective, the better your AI output. This is the most important step — and the one most people skip.

What you'll have

A clear, measurable goal for your AI task

Step 02 — Map Your Workflows
02
Discover

Map Your Workflows

Audit the tasks you do regularly and identify where AI can have the biggest impact. Not every task is worth automating — focus on high-frequency, high-effort activities that compound over time.

What you'll have

A prioritised list of AI opportunities in your role

Step 03 — Design Your Solution
03
Plan

Design Your Solution

Before building anything, design your AI approach. Define the inputs, expected outputs, and success criteria. Planning before building saves you from rebuilding.

What you'll have

A clear plan: inputs, outputs, and success criteria

Step 04 — Build Your First Version
04
Create

Build Your First Version

Using the tools in your track, create your first working AI solution — prompt workflow, no-code automation, or production feature. Imperfect and working beats perfect and unstarted.

What you'll have

A working first version of your AI solution

Step 05 — Test Against Reality
05
Validate

Test Against Reality

Run your solution against real tasks and real data. Expect gaps — finding them now is the whole point. Document what works and what doesn't before you rely on it daily.

What you'll have

A validated workflow with a documented improvement list

Step 06 — Put It Into Practice
06
Deploy

Put It Into Practice

Deploy your AI workflow, automation, or feature into your actual work. The program ends, but the habit begins here. Commit to using your solution for at least two weeks after the program.

What you'll have

An AI solution running in your daily work

Step 07 — Measure Your Impact
07
Improve

Measure Your Impact

Quantify what changed — time saved, errors reduced, outputs improved. Use this data to decide what to build next and to demonstrate AI value to your team and organisation.

What you'll have

An impact report you can share and build on

Not sure which track is right for you?

We'll figure it out together. Book a free consultation with our team and get a personalized recommendation based on your goals and experience.