AI for Work💻 Technical CourseLearnAspire Certified

Non-Coder to AI Developer: Build Real IT Automation Tools with Cursor and Claude

Stop Waiting on Developers. Build Your Own IT Tools.

Use Cursor and Claude 3.5 Sonnet to generate, run, and iterate on a working Python ticket triage script — without memorising a single line of syntax.

Beginner11h6 modules18 exercises24 quiz Qs✓ Verified Apr 2026
🔥 Launch Price — 63% off. Limited time.
₹2,999₹7,999

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  • 6 modules of content
  • 18 practical exercises
  • 24 quiz questions
  • Capstone project
  • LearnAspire certificate

Learning Outcomes

What you'll learn

You will be able to open Cursor, write a plain-English prompt describing a ticket triage task, and generate a working Python script against a 50-row ServiceNow-style CSV — without touching or memorising any of the generated code
You will be able to set up a Python virtual environment for your project by prompting Cursor to generate the exact terminal commands, and run those commands step-by-step so your script has everything it needs to execute
You will be able to read a full terminal error traceback, identify the one line that describes the actual problem, and compose a plain-English prompt that gets Cursor to fix it — without understanding what the error means technically
You will be able to evaluate whether a generated script's output CSV is correct by comparing it against your own manual triage judgement on five known tickets, and prompt Cursor to adjust the classification logic when it disagrees with your domain knowledge
You will be able to publish your completed triage script to a GitHub Gist with a plain-English README that documents the prompts you used, the constraints you discovered, and the problem the script solves — producing a shareable artifact you can reference in a 1:1 with your manager or a job application

The day after you finish

The day after completing this course, you will open your Downloads folder, drop Monday morning's ServiceNow CSV export into your project folder, run your triage script from the terminal with a single command, and hand your team a formatted priority report CSV before the 9 a.m. standup — without asking a developer for anything.

Who this is for

  • Primary: Mid-career IT Operations Manager, Help Desk Lead, or IT Coordinator with 5–8 years of hands-on IT experience who has never written code and wants to automate repetitive workflow tasks using AI tools
  • Secondary: Business Analyst or IT Project Coordinator who regularly exports data from Jira or ServiceNow and manually reformats it into reports — and wants to stop doing that by hand
  • Tertiary: IT Director or VP of Operations who manages a team of the above roles and wants to understand what AI-assisted tooling can realistically produce so they can set accurate expectations and evaluate team capability

Prerequisites

  • Comfortable opening and navigating files and folders on macOS or Windows — you do not need to know what a terminal is yet, it is introduced and defined in Module 1
  • Have exported at least one CSV file from any system (ServiceNow, Jira, Excel) — you know what a CSV is from opening it in Excel, nothing more is assumed
  • No Python knowledge, no coding background, and no prior experience with Cursor or Claude is required or assumed at any point in this course

Curriculum

6 modules · full breakdown

🪄 Part of: Non-Coder to AI Builder Path

Step 1 — Build Your First Tool
Step 2 — Prompt Engineering
Step 3 — AI Tools Fluency
Step 4 — AI Strategy
Next in path: Step 2 — Prompt Engineering
🏆

Capstone Project

Hartwell Ticket Triage Engine: A Fully Prompted, Documented, Deployable Python Script

Learners build the complete ticket triage script from scratch using only plain-English prompts in Cursor — no manual code editing. The script reads Hartwell Medical Group's 50-row ServiceNow-style CSV, classifies each ticket into Critical / High / Medium / Low urgency using an AI-generated classification function, outputs a formatted priority report CSV, and handles the three most common failure modes (missing column, bad encoding, empty description field) that were encountered and fixed during the course. The learner then writes a plain-English README in Cursor documenting every prompt used to build the script, every error encountered and how it was fixed, and a one-paragraph explanation of what the script does — and publishes the script plus README as a GitHub Gist.

What you'll deliver

A GitHub Gist containing: (1) triage_script.py — the complete working Python 3.12 script generated via Cursor prompts, tested against the course's 50-row Hartwell CSV and producing a verified output file; (2) README.md — a plain-English document written by the learner in Cursor that lists every prompt used to generate and fix the script, describes the four urgency categories and the logic behind them, and explains how to run the script on a new CSV export; (3) hartwell_triage_output.csv — the actual output file produced by the learner's local script run, submitted as proof of execution