AI LAB
Loan Application Triage Agent
Build a project on a loan-application triage agent that auto-sorts approvals, reviews, and declines by policy
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
LendBridge, an SME lender, has underwriters manually pre-sorting 400+ loan applications every day. Inconsistent triage lets weak applications slip through and waste 3-4 hours of senior review time daily, while borderline cases get mishandled and decision quality varies by reviewer.
AI Solution
You'll build an LLM-powered agent that reads each application summary, applies LendBridge's underwriting thresholds in a strict evaluation order, and outputs exactly one decision with a one-line reason. The agent guards against missing data, follows a deterministic policy, and produces clean, parseable output instead of free-form prose.
Potential Impact
Consistent automated triage can clear routine auto-approvals and clear declines instantly, cutting manual pre-sorting effort by an estimated 60% and reclaiming 15+ underwriter hours per week. Faster, uniform decisions shorten loan turnaround and reduce policy-drift errors across the review team.
Skills that you will build
Solve a real AI-engineering problem that builds in-demand skills and a portfolio-ready, verified certificate.
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Prompt engineering for deterministic, policy-bound outputsEnforcing ordered rule evaluation in LLM agentsHandling missing or unknown input fields safelyStructured, machine-readable output formattingReducing hallucination and chatty responsesEncoding business rules into AI decision logicTesting agent outputs against edge casesAI Lab Pre-requisites
- Comfortable writing and running basic Python
- Familiarity with how LLM prompts and responses work
- Understanding of simple if/threshold logic
Target Roles
- AI Engineer
- LLM Application Developer
- Agent Engineer
- AI Solutions Architect
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Frequently asked questions
Are LLM tokens included?
Yes. Every lab runs on a metered LLM budget included in your workspace — no separate API key or billing needed.
What do I earn on completion?
A verified, shareable credential you can add to LinkedIn or your resume, proving you built a working policy-driven AI triage agent.
Do I need lending or finance experience?
No. The underwriting policy is fully specified in the lab; you focus on making the AI apply it consistently.
Will I need to reveal the solution anywhere?
No. You build and run your own agent in a locked-down cloud IDE, and an auto-grader validates your output.
What if I get stuck?
An AI mentor is available inside the lab to give hints and unblock you without handing over the answer.
How long does this lab take?
Most learners complete it in about 45-60 minutes, depending on prompt-engineering experience.