3 of 3 Evidence Stage

Focus: Turn your RAG prototype into a real AI system

What you cover:

Connecting retrieval with the LLM pipeline

Response generation, grounding, and guardrails

Building the user interface using Gradio

Deploying a working chatbot

Testing, evaluation, and improvements using LangSmith

Tracing runs and checking output quality

Improving reliability through practical evaluation workflows

Outcome:
Participants deploy a fully functional enterprise-style AI chatbot and learn how to evaluate, trace, and improve it like a real AI system.

Part of the Bootcamp get this free

https://nas.io/artificialintelligence/challenges/ai-accelerator-bootcamp

Prize

Jetbrains License Worth $1027

Scholarship worth $2000 (100% Scholarship)

1st Price Access to CAIO Program worth $1000

2nd Price Evaluation for AI & 80% scholarship for CAIO

3rd Prize Python Fast Track 60% Scholarship for CAIO