All Courses

Retrieval-Augmented Generation (RAG) is a powerful approach that enhances the reasoning capabilities of language models by combining them with an external knowledge retriever. In the provided DevOps agent implementation, RAG is used to allow the system to answer complex DevOps-related questions using both internal documents and external knowledge sources. Specifically, internal PDF files containing DevOps policies are first parsed, chunked, and embedded using OpenAI embeddings. These are then indexed in a FAISS vector store, which acts as the retriever. When a user submits a query, the retriever fetches the most relevant document chunks, which are then passed to the GPT-3.5 model for final answer generation—this is the "retrieval + generation" mechanism in action. The agent also intelligently decides when to use additional tools like DuckDuckGo, Wikipedia, or Arxiv if the internal documentation is insufficient, making the entire setup a robust example of agentic RAG, where retrieval is dynamically integrated into an agent that can reason about which tools or sources to leverage for the best response.

Objective

Scenario

Tools & Activities:

Outcome

The installed tools are as follows:

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

Apache Hadoop on Cent OS

Having different AWS assessments. Give it a try!!

AWS Certified DevOps Engineer

AWS Solution Architect Associate Certification

AZ 040 Automating Administration with PowerShell

This setup is for Demo purpose

AZ 800

AZ 801

Azure 801 

Azure 800 Administering Windows Server Hybrid Core Infrastructure

AZ 800t00

Azure 800t00

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

Azure Administrator Assessments

This course contains all azure 104 projects and assessments

This course contains all azure 104 projects and assessments

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

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

Azure Cloud Engineer Guided Labs

Azure Cognitive Search

Azure computer Vision

Azure Data Engineering 

Azure Data Engineering Certification ‎DP 203

Azure Databricks

Azure Devops Training

Azure Devops AZ 400

Azure DP 300

Azure Fundamentals

Azure Fundamentals AZ 104

Azure Fundamentals Training

Azure Migration

Azure Migration Operation

Azure Misconfigured Assessment Projects

Azure Skill Bundle

This Course contains the assessments for az 305

Azure Stack HCI

Blockchain is a system of recording information in a way that makes it difficult or impossible to change, hack, or cheat the system. A blockchain is essentially a digital ledger of transactions that is duplicated and distributed across the entire network of computer systems on the blockchain.

Penetration Testing 

Multiple assessments in programming with Core Java.

Cyber Security Administrator

Cyber Security Developer

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.

Databricks Tiger Analytics Assessment

Datascience for AI & ML lab constitutes a user created on Jupyter cluster 

Serverless computing is a cloud computing model that enables developers to create and deploy applications without the need to manage servers or infrastructure. One widely used implementation of serverless computing is through AWS Lambda, a compute service provided by Amazon Web Services (AWS). By using AWS Lambda, developers can execute code without the need to provision or maintain servers, only pay for the compute time used by the application, and automatically scale the application based on incoming requests.

When building a serverless application, some of the commonly utilized AWS services include AWS Lambda, AWS DynamoDB, AWS API Gateway, AWS SNS, and AWS SQS.

This guided project has the following topics

Prerequisites

1. Familiarity with basics of AWS Services
2. Knowledge about Python Programming using BOTO3

Learning Objectives

By completing this Guided Project, you will learn about

1. Developing a serverless application.
2. Using AWS Serverless Application Model to build and deploy the project.
3. Create a Lambda function and store data in the DynamoDB.
4. Configure S3 bucket data upload event as a trigger to the Lambda function.
5. Publish the event as SNS Topic
6. Configure SNS Topic as trigger to Lambda Function.
7. Error Handling in Lambda Functions.

Skill Tags

1. AWS Serverless Application
2. AWS Python Developer
3. AWS SAM

Scenario

Employee Appraisal Management Application

A company aims to create a web application that can manage employee information and publish their score/ratings. To meet their requirements, they plan to utilize AWS services.

To assist the company, we'll develop REST APIs using AWS Lambda to manage employee data in AWS DynamoDB. The employee score (JSON File) will be uploaded to an AWS S3 Bucket. Once uploaded, we'll calculate the employee grade and publish it to AWS SNS Topic. Additionally, an AWS Lambda function will update the employee information in DynamoDB with their grades when the grade is published. The application should have a robust error handling strategy to ensure that the application remains functional at all times.

Azure Fundamentals | Azure Administrator | Azure Solution Architect | Azure Security Engineer

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

Dot Net, Angular, Node JS Full Stack Software Development Playground Lab.

DotNet Application Assessments for Zensar

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

GCP Associate Cloud Engineer | GCP Professional Cloud Developer

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.

This is Java Full Stack Development lab with the following applications and tools installed

1. MYSQL
2. Chrome
3. Java 11 Zulu
4. Maven
5. Jenkins
6. Postman
7. Git
8. Gitlab CE
9. Vscode
10. EclipseIde2019

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 contains all GCP Labs.

GCP Cloud Engineer

Unlocking AI's Diverse Potential: A Suite of Apps, Each Leveraging the Strengths of ChatGPT, LLaMA, Anthropic, CoPilot, and Code Whisperer.