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LLM-Powered FAQ Chatbot for 40-Person SaaS Scale-up

FreeVerified credential2 weeksAdvanced

Overview

What this challenge is about.

You build a RAG pipeline for a B2B SaaS scale-up, answer 50 test questions with 70%+ accuracy, and earn a verifiable certificate.

The scenario

TaskFlow is a project management SaaS company based in Lisbon, with 40 employees. They have a comprehensive knowledge base but lack an automated way to handle common support queries, especially during the shift to enterprise clients.

CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced

The Brief

What you'll do, and what you'll demonstrate.

How can TaskFlow leverage LLMs to automatically answer customer FAQs and reduce support workload?

Earning criteria — what you'll demonstrate

  • Understand and implement retrieval-augmented generation (RAG) architecture
  • Use embeddings and vector databases for document retrieval
  • Integrate with an LLM API (e.g., OpenAI) to generate answers
  • Evaluate chatbot performance using metrics like accuracy and relevance

Program Fit

Where this fits in your program.

Sharpens the same skills your degree expects you to demonstrate.

Text Analytics and Natural Language Processing

Master · Data

Strong alignment

This challenge maps to Text Analytics and Natural Language Processing at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.

One more thing

You can put a credential on your CV by Friday.