Sandboxes
4
Practice Projects
1
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Three-Node Machine Environment with Chrome
Customer Segment : A leading higher EdTech platform providing online upskilling programs.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : AWS Account Labs
Customer Segment : A Premier Technical Interview Preparation Platform for Software Engineers and Tech Professionals.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Full-Stack Development Environment with Java 17 & 21, VS Code, Docker, Kubectl, Minikube, IntelliJ IDE (with Copilot), Maven, PostgreSQL, Jenkins, Redis, Git, Multipass, and PlantUML
Customer Segment : A leading higher EdTech platform providing online upskilling programs.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : AWS Account Labs
Customer Segment : A Global EdTech and Workforce Upskilling Organization.
Lab Type: Nuvepro’s Practice Projects
Problem Statement: Enable developers to effectively utilize Generative AI by mastering prompt engineering techniques to generate accurate, relevant, and context-aware outputs, while addressing challenges related to model behavior, response optimization, and real-world applicability.
Additionally, design and develop an AI-powered application using Amazon Q that allows seamless interaction with enterprise data, automates workflows, and generates actionable insights through natural language. The solution should integrate with enterprise systems such as AWS S3, support the creation of custom AI applications (Q Apps), and ensure secure, controlled access to sensitive data, thereby enhancing productivity and decision-making in enterprise environments.
Customer Segment : A Global IT Services and Consulting Organization focused on cloud and digital transformation skilling.