Practice Projects
1
Sandboxes
6
Lab Type : Nuvepro’s Practice Projects
Problem Statement: Build end-to-end data engineering capabilities using Python and Google Cloud Platform by designing and implementing data pipelines, handling batch and streaming data processing, and orchestrating workflows. The objective is to work with tools like Dataflow, Dataproc, Composer, Pub/Sub, BigQuery, and Vertex AI to develop production-grade data and ML pipelines, culminating in a real-world capstone project that integrates analytics, AI, and modern cloud data architectures.
Customer Segment : A Global IT Training and Certification Provider.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered: SRE Cloud Lab Environment
Customer Segment : A Global EdTech and Workforce Upskilling Organization.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : AWS ID with Java Microservices Lab
Customer Segment : A Global IT Services and Consulting Organization.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Azure Account Lab
Customer Segment : A Tier 1 Global IT Services and Consulting Organization.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Azure Account Lab
Customer Segment : A workforce upskilling accelerator providing corporate training and professional development solutions.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Big Data Lab Environment
Customer Segment : An EdTech platform focused on advanced tech upskilling and career acceleration.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Ubuntu Desktop Environment
Customer Segment : A workforce upskilling accelerator providing corporate training and professional development solutions.