Skill Validation Assessments

The installed tools are as follows:

• Anaconda 2023
• Python 3.11.4
• Jupyter Notebook 3.6.3
• PySpark 3.4.1

Azure Administrator Assessments

Azure computer Vision

Azure DP 300

Azure Migration

Azure Misconfigured Assessment Projects

Engaging students in real-world cybersecurity challenges, enhancing their problem-solving and decision-making skills

Migrate a web app workload preconfigured in a VM setup running on AWS to GCP using Lift & Shift technique.  

Tools

• Chrome
  
• LibreOffice 7.3
  
• Gedit
  
• VirtualBox 6.1.32

Having different AWS assessments. Give it a try!!

This setup is for Demo purpose

Azure 801 

Having different Azure Assessments. Go on and try it out!!

Azure Data Engineering 

Azure Databricks

Azure Devops Training

Azure Devops AZ 400

Azure Fundamentals Training

Azure Stack HCI

Microsoft 365 Assessments

Virtual Machine Ubuntu

In this course you will find hands-on lab for azure certification, includes AZ-900, AZ-104 and AZ-305

In this course you will find hands-on lab for azure certification, includes AZ-900, AZ-104 and AZ-305

Cyber Security Administrator

Cyber Security Developer

 CyberSecurity Demo

This comprehensive program covers a range of topics in Data Science and Generative AI. It begins with Core Python Programming Subjective and MCQ Assessments, ensuring a solid foundation in Python, the primary language for data science. Next, learners take a Data Science Fundamentals MCQ Preassessment to gauge their understanding of essential data science concepts and techniques.

Guided Project activities follow, focusing on Data Preprocessing and Exploratory Data Analysis (EDA) to develop skills in handling and analyzing data. Learners then transition to Guided Project activities for Machine Learning, where they learn to build and evaluate predictive models using popular frameworks like Scikit-Learn and TensorFlow.

The program further advances with Guided Project activities centered on Generative AI, where learners explore techniques like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) to create models that generate new data. Subjective assessments on Machine Learning and Generative AI evaluate the learners' knowledge after completing the guided projects.

Machine Learning using KNN, Random Forest and Decision Tree Algorithm

ML using Python with Scikit-learn and MNIST dataset

Machine Learning using Decision Tree Algorithm

Machine Learning using Linear Regression Model Algorithm

Databricks Tiger Analytics Assessment

Check you skills in working with Docker Image, Network and Container.

Available Software

DotNet Application Assessments for Zensar

Imocha Dotnet Console Assessments 

Multiple assessments in programming with Core Java.

This comprehensive project covers a range of topics in Java Spring Boot React JS FSD. It begins with Core Java Subjective and MCQ Assessments, ensuring a solid foundation in Java programming. Next, learners take a Spring Boot Framework MCQ Preassessment to gauge their understanding of Spring Boot. Guided Project activities follow, focusing on Java Spring Boot JPA for developing robust backend APIs.

Learners then transition to Guided Project activities for React JS frontend development, learning to create responsive interfaces that consume the backend APIs. React Frontend & Java Spring Boot backend subjective assessments evaluate the learners' knowledge after completing the guided projects.

The course culminates in a Capstone project, where learners showcase their skills in both backend and frontend development. This final project includes Backend and Frontend development subjective assessments, providing a comprehensive evaluation of the student's FinTech development capabilities 

This assessment is to measure the programming skills on Java, MySQL and Spring Boot framework involving JPA and other tools. The candidate will have to build different set of REST APIs using Java Spring Boot framework according to the API contract given under each REST API service.

React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.

With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.

React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.

With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.

MERN Stack Assessment

React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.

With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.

React is a popular JavaScript library for building user interfaces. Its component-based architecture, virtual DOM rendering, and declarative programming style make it efficient and scalable.

With React, developers can create reusable UI components, optimize performance through virtual DOM updates, and describe UI behavior based on state changes. It seamlessly integrates with other libraries and frameworks, offers a wide ecosystem of tools, and has a vibrant community support. React is widely adopted for its flexibility, efficiency, and ability to create interactive and dynamic user interfaces in web and mobile applications.

Selenium automation assessment lab.

Selenium automation assessment lab.

The MS SQL Assessment is to check your skill in writing MS SQL queries for different use cases or problem statements. The problem statements are given in a web portal in the lab, having MS SQL Database. You can execute the queries that you write on MS Server Management Studio available in the lab, check the results and paste the query in the web portal under respective questions. Submit the assessment once you write all answers. The auto evaluation will be completed in a minute following which you can see the results. 

On completing answering all questions, the candidate can submit the assessment. Once submitted, the evaluation process starts, and the candidate can see the evaluation in-progress in the assessment page. Once the evaluation has completed, if any failures, the candidate can click on Continue Attempt, then can go back to the lab, and edit the answers submitted earlier and submit the assessment again – provided, reattempt is allowed and there is enough time remaining.

The MS SQL Assessment will check your proficiency in writing MS SQL queries. The questions are statements are given in a web portal in the lab, having MS SQL Database. The lab has MS Server Management Studio, in which you can write the queries, execute it, check the results and paste the query in the web portal under respective question. 

Submit the assessment once you write all answers to the questions asked in the portal. Once submitted, the auto evaluation starts and it will be completed in two minutes following which you can see the evaluation results. 

The MS SQL Assessment is to check your skill in writing MS SQL queries for different use cases or problem statements. The problem statements are given in a web portal in the lab, having MS SQL Database. You can execute the queries that you write on MS Server Management Studio available in the lab, check the results and paste the query in the web portal under respective questions. Submit the assessment once you write all answers. The auto evaluation will be completed in a minute following which you can see the results. 

On completing answering all questions, the candidate can submit the assessment. Once submitted, the evaluation process starts, and the candidate can see the evaluation in-progress in the assessment page. Once the evaluation has completed, if any failures, the candidate can click on Continue Attempt, then can go back to the lab, and edit the answers submitted earlier and submit the assessment again – provided, reattempt is allowed and there is enough time remaining.