The Pink Panther team developed a conversational AI training platform that walks new faculty through Canvas onboarding with a structured, sequential learning experience that replaces scattered static documents and videos. Built on a serverless AWS architecture, the system uses AWS Lambda (serverless compute) to orchestrate the training workflow and Amazon DynamoDB (NoSQL database) to track faculty profiles, progress through each Canvas training module, and completion status in real time. The platform ingests existing training content—how-to documents, instructor-created videos, and college website resources—and stores them in Amazon Bedrock Knowledge Bases (managed RAG) so that the AI assistant can answer faculty questions with grounded, cited responses from Hartnell College’s approved materials rather than generating unverified information. Faculty members move through a stage-gated path where each module presents interactive learning activities including flashcards, quizzes, and matching exercises, with an on-demand AI assistant (“Panther”) available to provide contextual guidance when instructors get stuck on a Canvas task, replacing the fragmented stack of links and resources that previously required one-on-one phone support from the LMS administrator. Training coordinators see a live progress dashboard that surfaces which faculty are on track and which are blocked, giving visibility into completion rates and enabling proactive intervention for those who need help. The solution reduces the time cost of assembling and sequencing onboarding materials for each new hire and cuts down high-volume “I’m stuck on a step” support requests by delivering in-context guidance exactly when faculty need it, improving the new-instructor experience and reducing the support load on college staff.