Practice Projects

01

Sandboxes

02

Lab Type : Nuvepro’s Sandboxes

Tools Delivered : Chrome, Git, Eclipse IDE, JFrog Plugin, Docker Desktop, VS Code, Python (pywin32), Java, Jenkins, SonarQube, Terraform, Maven, Pulumi CLI, Snyk, Node.js, Azure CLI, Azure PowerShell

Customer Segment : Enterprise Learning & Corporate Upskilling Platform

Lab Type : Nuvepro’s Sandboxes

Tools Delivered : AWS Account Lab + Azure Account Lab

Customer Segment : Tier-1 Global IT Services, Consulting & Business Solutions Company

Lab Type : Nuvepro’s Practice Projects

Problem Statement : Build and deploy a fully serverless, enterprise-grade Customer Support AI Agent on AWS that integrates Retrieval-Augmented Generation (RAG) patterns and API-driven actions to intelligently handle multi-intent queries in real-world scenarios. This hands-on practice project provides guided, step-by-step labs using AWS Bedrock, the Strands SDK, and other essential AWS services, enabling learners to configure the agent’s knowledge base, orchestrate intelligent workflows, and implement secure serverless architecture. By completion, participants gain practical experience creating a fully functional AI support agent, ready for deployment in enterprise environments.

Customer Segment : Tier-1 IT Services & Enterprise Technology Services Company