Sandboxes
04
Skill Validation Assessments
01
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Maven, ChromaDB, Eclipse, Tomcat, Java 17, Java 21, STS, IntelliJ, Postman, VS Code, gVim
Customer Segment : A Global IT Services and Digital Engineering Company.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : OpenOffice, Foxit PDF Reader, Chrome, Smart Console R81.10 (Check Point Client)
Customer Segment : A Global IT Services, Consulting, and Business Process Services Company.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : AWS Account Lab
Customer Segment : A Technology Upskilling Platform Specializing in Advanced Software Engineering and Digital Skills Training.
Lab Type : Nuvepro’s Sandboxes
Tools Delivered : Java 1.8, GoLang 1.6, MySQL, MySQL Workbench, Postman, Monaco Editor, MongoDB, MongoDB Compass, VS Code (C/C++ Extension), C Shell, Git SCM, LibreOffice, Notepad++
Customer Segment : A Technology Skills Development and Professional Certification Training Provider.
Lab Type : Nuvepro’s Skill Validation Assessments
Tools Delivered : Evaluate learners’ practical capabilities in Data Science and Data Engineering across cloud platforms (AWS, Azure, and GCP) through scenario-based assessments that require configuring cloud resources, working with core cloud services, and implementing data processing and analytics workflows in real-world environments.
AWS Cloud Fundamentals Assessment
Evaluates the learner’s ability to configure and work with core AWS services and foundational cloud infrastructure components.
Azure Cloud Fundamentals Assessment
Tests practical understanding of Azure core services, authentication, and cloud resource configuration through scenario-based tasks.
GCP Cloud Fundamentals Assessment
Assesses knowledge of Google Cloud services and the ability to deploy and manage fundamental cloud resources.
Data Science Assessment – Option 1
Evaluates applied data science skills including data analysis, problem solving, and implementation using structured datasets.
Data Science Assessment – Option 2
Assesses analytical thinking and practical implementation of data science workflows through hands-on tasks.
Snowflake Assessment
Validates the learner’s ability to work with Snowflake for cloud data warehousing, data querying, and data management operations.
Python Machine Learning Assessment
Tests practical skills in building and implementing machine learning workflows using Python-based tools and libraries.
GCP Data Engineering Assessment – Option 1
Evaluates the ability to design and implement data engineering pipelines and workflows using Google Cloud services.
GCP Data Engineering Assessment – Option 2
Assesses hands-on capability in managing and processing large-scale datasets using GCP data engineering tools.
Customer Segment : A Global Professional Services and Consulting Firm.