
AI LAB
GitHub Issue Triage Agent
Build a project on a GitHub issue triage agent that auto-labels bugs, features, and security risks by priority
Verified Certificate on Successful Completion

What is in it for you?
LLM tokens included
A metered token budget is bundled in, call real models from your code with no API key or extra cost.
AI mentor on tap
Stuck? An in-IDE AI mentor gives hints and debugging help, without handing you the answer.
Instant grading
Submit and get an objective, rubric-based verdict in seconds, pass, or actionable feedback.
Verified certificate
Pass and earn a shareable, verifiable certificate you can add to your LinkedIn profile.
Zero-setup cloud IDE
A ready sandbox with the libraries pre-installed, start building in the browser instantly.
Retry until you pass
Iterate as many times as your budget allows; a fail keeps the lab open to try again.
Grab your slot before the offer expires
Start solving today!
Basic Info
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Project Statement
Business Problem
A growing open-source project or SaaS team receives 400+ GitHub issues a month, and manually reading, categorizing, and prioritizing each one eats 15–20 engineering hours weekly. Critical security reports and data-loss bugs often sit in the same unsorted backlog as dark-mode requests, delaying urgent fixes by days.
AI Solution
You build an LLM agent that ingests each incoming issue and outputs a single, structured label pairing a type (bug, feature, question, security) with a priority (P1–P3). The core challenge is prompt engineering: constraining the model to emit exactly the format automation needs — no explanations, no hedging — so the labels can flow straight into a workflow.
Potential Impact
Automated triage can cut manual sorting from ~18 hours a week to near-zero and surface P1 security and outage issues within minutes instead of days. Teams gain consistent, deterministic labeling that improves backlog hygiene and slashes mean-time-to-triage by an estimated 90%.
Skills that you will build
Solve a real AI-engineering problem that builds in-demand skills and a portfolio-ready, verified certificate.
AI Lab Pre-requisites
Comfortable reading and editing basic Python
Familiarity with what an LLM prompt is
Target Roles
AI Engineer
LLM Application Developer
Agent Engineer
AI Automation Engineer
Combo Offers
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for successfully completing the 'GitHub Issue Triage Agent' project
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for successfully completing the 'GitHub Issue Triage Agent' project

Frequently asked questions
Are LLM tokens included?
Yes. Each lab runs with a metered LLM budget included, so you can iterate on your prompts without any separate API setup or cost.
Do I need prior AI experience?
No AI background is required. If you can read and edit basic Python and understand what a prompt is, you're ready to start.
What will I earn?
A verified, shareable credential that proves you built a working LLM triage agent and mastered structured-output prompting.
Is this a course with videos or live classes?
No. This is a single hands-on lab — one focused problem you solve in a cloud IDE with an AI mentor available for hints.
How is my work checked?
An auto-grader evaluates your agent's output against a set of real-world issue examples, so you get instant, objective feedback.
How long does it take?
Most learners finish in about 45 minutes, though you can take as long as you need.
