Instructor Led Training 36 Hours
Exercises & Project Work 30 Hours
May 30th Sat & Sun 5 PM IST (GMT +5:30) ENROLL NOW
June 2nd Tue to Fri 7 AM IST (GMT +5:30) ENROLL NOW
June 14th Sat & Sun 5 PM IST (GMT +5:30) ENROLL NOW
  • Instructor Led Training
  • AWS
  • Azure 104
  • Devops
  • Python Programing
  • Self Paced
  • Java
  • Tableau Desktop
  • Tableau Server

Course Syllabus

Section 1: Introduction
Introduction to Startups Details FREE 00:30:00
Introduction to entrepreneurial management Details 00:20:00
Section 2: The Ecosystem
Different types of entrepreneurship Details 00:30:00
Entrepreneurial Ecosystem and Legal Fundamentals Details 01:00:00
Section 3: Marketing Startups
Value proposition Details 00:40:00
Product development Details 00:25:00
Course Quiz 00:07:00

About Course

This Cloud and DevOps Architect program by Eduranz will give you enough insights about best way of configuring the infrastructure over cloud and building and hosting the applications on the Cloud itself. This training majorly deals in deploying the essesntial cloud models like SaaS, PaaS, and IaaS applications on AWS as well as Microsoft Azure. You will also work on mastering all the DevOps tools and their best practices for automating and improving the overall efficiency of a software development lifecycle. In this rigorous hours of training, you will also get to learn the most user-friendly, multi-paradigm and on-demand language, which is Python. In this training, we provide you 7 course with 26 industry-oriented projects which are curated by the industry professionals As a part of this training, you will also receive the training material in sync with Microsoft and Amazon Web Services.

Syllabus

 

AWS Solutions Architects Training

In this chapter, you will be first introduced to Cloud Computing, different models and its concepts, then we will move towards essential concepts in AWS as shown below:
• What is Cloud Computing?
• Different Cloud Computing Models
• What is AWS? And how is AWS a leader in the cloud market?
• Intro to AWS Management Console
• Quick intro to the essential AWS Services such as:
o Elastic Cloud Compute (EC2)
o AWS Simple Storage Service (S3)
o Virtual Private Cloud (VPC)
o Amazon Machine Image (AMI)
o Elastic Block Storage (EBS)
o Elastic Load Balance (ELB) and more
• Thorough understanding of AWS Architecture
• Understanding Public/Elastic IP’s and comparing them
• Launching, Initiating and Terminating and AWS EC2 Instance
• What is Auto-Scaling?
• Best Practices and Costs for AWS EC2 and understanding various backup services concepts in AWS

Lab- Exercise:
• Setting-up for AWS free-tier account
• Launching an EC2 Instance
• Creating an S3 bucket through console and AWS CLI
• Understanding the process of hosting a website
• Launching a Linux Virtual Machine using an AWS EC2 Instance

In this chapter, you will understand the essential concepts behind the object storage, where in you will identify when to use which service and topics like:
• AWS Storage
• In-depth of AWS S3 – Creation, Version Control, Security, Replication, Transfer, Acceleration
• Other concepts in S3 like, storage classes, life cycle policy, cost-optimization and more
• Create and Configure CloudFront with S3
• Understanding and working with Elastic Block Storage
• Amazon Glacier storage for persisting data backup and archiving
• Data importing and exporting using Amazon Snowball

Lab- Exercise:
• Host a Static Website on AWS S3
• Uploading images and documents to AWS S3 from a Website
• Replicate Data across regions
• Export and Import data from Glacier storage using lifecycle policy
• Access any static website using AWS CloudFront
• Elastic Block Storage (EBS) for block-level persistent storage volumes with S3 buckets
• Connect cloud-based storage with the on-premise software using AWS Storage Gateway

We will start this chapter by understanding the essential concepts behind Auto-Scaling and various topics as shown below:
• Auto-Scaling mechanism and its components
• Auto-Scaling Lifecycle and its policy
• Understanding Fault Tolerance in AWS
• Understanding Elastic load balancing and its types
• Comparison between Classic, Network and Application Load Balancer
• Accessing the Elastic Load Balancer
• Working with Route53 and various routing policies

Lab- Exercise:
• Creating a Classic and a Network load balancer
• Working with Application load balancer and Auto-Scaling
• Scaling policy in Auto-Scaling
• Understanding how to register a domain using Route 53
• Routing internet traffic to the resources and automatically checking health of resources

In this part of the Chapter, we will first understand the essential types of AWS Database services which are basically used for managing structured and unstructured data in other-term we call them SQL and NoSQL Databases. The topics which will be covered here are:
• What exactly is a Relational Database?
• Understanding AWS RDS and Amazon Aurora
• Benefits of using AWS RDS and Amazon Aurora
• What exactly is a NoSQL or a Non-Relational Database?
• Understanding NoSQL Service of AWS i.e., AWS DynamoDB
• Working with a Data warehousing product i.e., Amazon Redshift
• Using an in-memory data store with ElasticCache
• Using AWS Kinesis for the Analysis of Data

Lab- Exercise:
• Creating an RDS Instance and its read replica instance
• Adding data to a replica RDS
• Storing an application’s data to master RDS
• Creating Tables and running queries in master RDS
• Creating PostgreSQL and MySQL instance using Amazon Aurora
• Create a NoSQL Table and run queries in it using DynamoDB
• Working with Redis Cache
• Using Kinesis Data Stream for Visualizing the website’s traffic

In this chapter, we will get an in-depth knowledge of Amazon Virtual Private Cloud, IAM, CloudWatch and CloudTrail, as shown below:
• Understanding VPC and its components
• Benefits of VPC
• VPC Use-Cases
• Understanding & Creating a Virtual Private Network
• Working on VPC Networking, IP addressing and VPN Connections
• Network Access Control List and Security Groups and Network Address Translation (NAT)
• Understanding VPC Peering
• Deep-dive into Identity Access Management (IAM)
• User management using IAM
• Policies and API Keys access using various AWS Services
• Key Management Service in IAM
• Accessing billings and creating alerts on billings
• IAM Best Practices

Lab- Exercise:
• Creating a VPN and attach an EC2 instance on it and access it on internet and a private network by using AWS PrivateLink
• Creating two instances on different VPC’s with the help of VPC peering
• Creating a new role for an application which can access to an S3 Bucket
• Creating new policies for new users to either give them the admin or restricted privileges
• Rotating different credentials for IAM users to keep the users account protected
• Log-in to AWS Console using MFA
• Accessing AWS Services by creating API keys
• Creating multiple budgets according to each and every service used on a monthly basis

This chapter will give you the insights of Monitoring services in AWS, where in you will work on concepts like:
• Managing IAM events using AWS CloudTrail
• Monitor and Manage AWS resources using CloudWatch
• Deploy configuration alerts and notifications using CloudWatch
• CloudWatch Billing and exploring Trusted Advisor

Lab- Exercise:
• Logging IAM events through AWS CloudTrail
• Monitoring an EC2 Instance with the help of CloudWatch
• Storing Logs in S3 by enabling ClouTrail

Learn about different Application Services provided by AWS used for sending E-mails, to receive notifications and for queuing the messages, this chapter will also deal with the latest Serverless Computing service which AWS Lambda, find the more topics below:
• Working with AWS Simple Email Service (SES), AWS Simple Notification Service (SNS), AWS Simple Queue Service (SQS) and AWS Simple Work Flow (SWF)
• Working with the orchestration service i.e., AWS Elastic Beanstalk
• AWS OpsWorks and CLI
• Work with AWS Lambda – A Serverless Computing Service

Lab- Exercise:
• Send an Email using AWS SES
• Enable and generate a notification service by sending a notification using AWS SNS
• Orchestrate an S3 Bucket using Elastic Beanstalk
• Copy an Object by using AWS Lambda
• Send an E-mail to the user using AWS Lambda whenever an object is added to S3 bucket
• Sending a notification via Lambda whenever a message is sent to SQS
• Model and Provision your apps with the help of AWS OpsWorks

In this chapter, you will know how to do the configuration management of your server along with its automation, check more topics below:
• Manage resources using AWS CloudFormation
• Configuration Management and Automation of Servers with the help of OpsWorks
• More into AWS Elastic Beanstalk
• Comparing CloudFormation, OpsWorks and Elastic Beanstalk
• Automatically checking the health of resources using Route53
• Using AWS CloudFormation for the provisioning of Infrastructure

Lab- Exercise:
• Routing the traffic towards the resources and checking the health of the resources automatically
• Installing LAMP Server on an EC2 Instance using CloudFormation
• Managing Servers using AWS OpsWorks Stacks
• Deploying a Web Application with the help of DynamoDB using Elastic Beanstalk (for orchestration)


This Section will cover all the important aspects required to clear the AWS Solutions Architect Exam:
• Examination guidelines
• Most likely asked Interview Questions
• Some other useful tips for completing exams and job interviews.

Microsoft Azure Administrator Associate Training (AZ-104)

In this module, you will learn how to secure identities with Azure Active Directory and implement users and groups. This module includes:

  • Azure Active Directory

Users and Groups  

In this module, you will learn about managing your subscriptions and accounts, implementing Azure policies, and role-based access control. This module includes:

  • Subscriptions and Accounts
  • Azure Policy
  • Role-based Access Control (RBAC)

.

In this module, you will learn about the tools an Azure Administrator uses to manage their infrastructure. This includes the Resource Manager, Azure Portal, Cloud Shell, Azure PowerShell, CLI, and Azure Resource Manager Templates. This module includes:

  • Resource Manager
  • Azure Portal and Cloud Shell
  • Azure PowerShell and CLI

ARM Templates

.

In this module, you will learn about basic virtual networking concepts like virtual networks and subnetting, IP addressing, network security groups, Azure Firewall, and Azure DNS. This module includes:

  • Virtual Networks
  • IP Addressing
  • Network Security groups
  • Azure Firewall

Azure DNS

.

In this module, you will learn about intersite connectivity features including VNet Peering, VPN Gateway Connections, ExpressRoute and Virtual WAN. This module includes:

  • VNet Peering
  • VPN Gateway Connections
  • ExpressRoute and Virtual WAN

.

In this module, you will learn about network traffic strategies including network routing, Azure Load Balancer, Azure Application Gateway, and Traffic Manager. This module includes:

  • Network Routing and Endpoints
  • Azure Load Balancer
  • Azure Application Gateway

Traffic Manager

.

In this module, you will learn about basic storage features including storage accounts, blob storage, storage security, Azure files and File Sync, and managing storage (tooling). This module includes:

  • Storage Accounts
  • Blob Storage
  • Storage Security
  • Azure Files and File Sync

Managing Storage

.

In this module, you will learn about Azure virtual machines including planning, creating, availability and extensions. This module includes:

  • Virtual Machine Planning
  • Creating Virtual Machines
  • Virtual Machine Availability
  • Virtual Machine Extensions

In this module, you will learn administer serverless computing features like Azure App Service Plans, Azure App Service, Container Services, and Azure Kubernetes Service.

  • Azure App Service Plans
  • Azure App Service
  • Azure Container Instances

Azure Kubernetes Service

In this module, you will learn about backing up files and folders, and virtual machine backups. This module includes:

  • File and Folder Backups
  • Virtual Machine Backups

Lab 10 – Implement Data Protection  

In this module, you will learn about monitoring your Azure infrastructure including Azure Monitor, alerting, and log analytics. This module includes:

  • Azure Monitor
  • Azure Alerts

Log Analytics 

 

Devops Certification Training

  • Guide for Setting up EC2 Instance
  • Installing the DevOps tool in the cloud such as:
    • Git
    • Docker
    • Selenium
    • Maven
    • Jenkins
    • Puppet
    • ansible
    • Kubernetes
    • Nagios

  • What is Software Development?
  • Understanding Software Development Life Cycle
  • Understanding Traditional SDLC model
  • Why DevOps?
  • What is DevOps?
  • DevOps life cycle
  • DevOps tool

  • What is version control?
  • Types of version control system
  • Introduction to SVN & Git
  • Understanding Git life cycle
  • General git commands
  • Working with Git Clone
  • Join branches
  • Merger conflict solution
  • Git workflow

 

  • Hands-on Exercise 
  • Git Life Cycle Commands
  • Move the code to Github
  • Hide git code
  • Create and delete git clones
  • Push back to GitHub
  • Combine branches with git merge
  • Bring together clones using Git Rebase
  • Overcome Conflict Join the Git Merge Tool

  • Introduction to Docker
  • Understand the Docker life cycle
  • component of the Docker ecosystem
  • General docking operation
  • Create a DockerHub account
  • Make changes to a container
  • Click the container image to launch DockerHub
  • Create custom Docker images with Dockerfile

 

  • Hands-on Exercise 
  • General docking operation
  • Create a DockerHub account
  • Make changes to a container
  • Move the container to DockerHub
  • Create a local image repository
  • Create pictures with Dockerfile

.

  • What is the Docker volume?
  • Deploy multi-tier applications through the Docker network
  • Use Docker Compose to deploy containers
  • What is meant by container orchestration?
  • Orchestration tools for containers
  • Introduction to the Docker Swarm
  • Deploy a two-node cluster using Docker Swarm

 

  • Hands-on Exercise 
    • Create a Docker volume
    • Use Docker Compose to use multiple containers
    • Deploy multi-axis clusters with Docker Swarm
    • Provision of multi-service Docker Swarm applications

  • Need for configuration management
  • configuration management tool
  • Is that a doll?
  • Puppet Architecture
  • Set a Master Slave with Puppet
  • Puppet manifest
  • Puppet module
  • Apply configuration with Puppet
  • Puppet file server

 

  • Hands-on Exercise 
    • Set the master slave to AWS
    • Test the node’s connection to the puppet
    • Create manifest
    • Give the node manifest
    • Create a module
    • Provides sample node software using puppet modules and manifests
    • Provision of puppet file server

  • What is Ansible
  • Ansible vs Puppet
  • Responsible architecture
  • Prepare a Slave Master with Ansible
  • Ansible Playbook
  • Ansible Roles
  • Apply configuration with Ansible

 

  • Hands-on Exercise 
    • Install Ansible under AWS
    • Create manuals with YAML
    • Create an ansible role
    • Use the Playbook role

  • What is continuous testing?
  • Introduction to selenium
  • What is Maven?
  • Use maven with selenium
  • Make a test case with selenium
  • Run the Chromium Web Driver test box
  • What is the headless mode?

 

  • Hands-on Exercise 
    • Use Maven to Import Dependencies in Eclipse
    • Use Selenium to create test samples for websites
    • Run a headless, free selenium test with Chrome WebDriver

  • Introduction to continuous integration
  • Jenkins mastered slave architecture
  • Understanding CI/CD Pipeline
  • Create a continuous CI/CD automated pipelie

 

  • Hands-on Exercise 
    • Create Jenkins’ Chief Slave at AWS
    • Install the plugin in Jenkins
    • For the Jenkins building
    • Create a planned structure
    • Trigger work with Git Web Hooks
    • Using Plugins in Jenkins Pipeline

  • Introduction to the Kubernetes
  • Docker surrounded Kubernetes
  • Kubernetes Architecture
  • Spread the Kubernetes with Kubeadms
  • Alternative ways to use Kubernetes
  • YAML file
  • Create a Kubernetes deployment with YAML
  • Services in Kubernetes
  • Interest in Kubernetes
  • Case Study – Kubernetes Architecture

 

  • Hands-on Exercise 
    • Prepare the Kubernetes with kubeadms
    • Install Kubernetes with kops and GCK
    • Create deployment
    • Manufacture service
    • For ingress
    • Show sharing the inclusion of services, and implementation

  • What is ongoing monitoring
  • Introduction to Nagios
  • Nagios Architecture
  • Monitoring service in Nagios
  • What is the NRPE plugin?
  • About monitoring systems with the NRPE plugin

 

  • Hands-on Exercise 
    • Installing Nagios
    • Monitoring various servers with Nagios

Python Certification Training

In this Chapter, we will start from the very basic and understand the relevance of python followed by its setup, syntax, basic commands and a lot more, check below to know more:
• Introduction to Python
• Features of Python
• Advantages of using Python compared to other programming languages
• Types of Companies using Python
• Installation of Python on Windows, Mac and Linux distributions for Anaconda Python Deployment of Python IDE
• Basic commands of Python

Lab-Exercise:–
• Installing Python Anaconda for Windows, Linux, and Mac
• Writing a “Hello World Program”

This Chapter will cover all the concepts in Data Types and Objects with their respective hands-on and practical sessions, you will learn how to work with data types, number, strings, lists, tuples and dictionaries, you can check the below topics to know more:

• Understanding Python Data Types and Numbers
• Performing Simple arithmetic operations in Python
• Assigning Variables in Python
• Operators in Python
o Understanding all the basic operators in Python
o Comparison Operators in Python
o Chaining Comparison Operators with Logical Operators
• Working with strings like indexing and slicing a string, formatting, etc
• Working with Lists like creating a basic and multiple list, adding elements & more
• Covering the essential concepts of Tuples
• Sets & Boolean in Python
• Dictionaries in python like creating and adding elements to a Dictionary

Lab-Exercise:
• Adding, Subtracting, Multiplying and Dividing numbers using arithmetic operations
• Creating a list with multiple distinct and duplicate elements
• Accessing and removing the elements from a list
• Slicing a list
• Creation and Concatenation of Tuples
• Slicing of Tuples
• Demonstration of Set and Boolean operations
• Demonstration on Python Dictionaries

 

Diving deep into Data Structure & Data Types

  • Vectors
  • Matrices
  • Factors
  • Data frames
  • Lists
  • Importing Data from various sources
  • Database Input: Connecting to database
  • Exporting Data to various formats
  • Viewing Data: Viewing partial data and full data
  • Variable & Value Labels: Date Values

Case study: We will go through a Case Study on HR Analytics


In this Python Chapter, we will go through all the basic concepts of Python Statements like if else, for loops, while loops, Control flow and all the essential Functions in Python, check the below topics to know more about this chapter:
• If Elif and Else Statements
• For loops in Python
• While loops & some useful operators in Python (range vs xrange on python)
• List Comprehensions in Python
• Chaining comparison in python
• Else with for and Switch Case in Python
• Using iteration in python
• Iterators in Python
• Iterators function
• Intro to Python functions
o Types of Python Functions
• Defining a Function in Python
o Rules for naming python function (identifier)
• Python Function Parameters
• Python Return Statement and calling a function
• Function Arguments
• What is the Python Function Argument?
o Types of Python Function Arguments
o Default Argument in Python
o Python Keyword Arguments
o Python Arbitrary Arguments
• Python Built-In Functions with Syntax and Examples
• Lambda Expressions, Map, and Filter Functions

Lab-Exercise:
Along with covering basics to advanced topics in this chapter, we will also cover the Lab-exercises and practical for all the above-mentioned topics based on an industrial-based case studies such as:
• Write a Python Function with or without the parameters
• Demo on If Else Statements and Iterators Functions
• Demo on Simple Boolean and Simple Math Functions
• Demo on create an object and write a for loop to print all odd numbers
• Demo on smaller or a greater number
• Use Lambda Expression to Map and Filter the Functions

essential concepts of OOP, where in we will start from basics to the advanced level while able to write smooth codes using the concepts of OOP, we will cover the topics like:
• Intro to Object-Oriented Programming and its need
• Attributes, Class Keywords,
• Class Object Attributes
• Methods in Python
• Data Hiding and Object Printing
• Constructors and Destructors in Python
• Class and static variable in python
• Class method and static method in python
• Inheritance, Encapsulation, Polymorphism & Abstraction
• Special Methods – Magic Method

Lab-Exercise:
• Write a Class
• Writing a Python program and incorporating the OOP concepts in it
Creating a Bank Account using OOP concepts


In this part of the chapter, we will understand the concepts of Modules, Packages and deep-dive into some of the common errors in Python, along with the concepts of Exception Handling, topics as shown below:
• Intro to Modules
• Working on PyPi using pip Install: Installing external packages and modules
• Numeric, Logarithmic, Power, Trigonometric and Angular functions in Python
• Understanding Python Errors and Exceptions
• Syntax Errors in Python
• Handling Exceptions in Python
• Raising Exceptions
• User-defined Exceptions
• Unit Testing in Python

Lab-Exercise:
• Demo on Modules
• Demo on Exception Handling
• Running Tests with Unittest Library

  • Understanding more about Analytics World
  • Data Science Vs Data Analytics Vs Machine Learning Vs Artificial Intelligence Vs Business Analysis
  • Analytics keywords and their definitions
  • Business Objectives
  • Key driving factors in Analytics world

Case-Study: Case Study on how Predictive Analysis is helpful for Sales Industry

Chapter where you will learn all the essential topics of Decorators and Generators in Python such as:
• Understanding Decorators in Python
• Syntax of Decorators and Working with them
• Understanding Generators in Python
• Working with Generators

Lab-Exercise:
• Demonstration on Decorators and Generators

  • Performing Data Preparation steps
    • Consolidation/aggregation
    • Outlier treatment
    • Flat Liners
    • Missing values
  • Dummy Creation
    • Variable Reduction
  • Data Alignment and fine tuning

Upon the completion of Python concepts successfully, we will proceed towards the advanced concepts in Python, starting off with NumPy, a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on arrays.
This Chapter will cover the topics as shown below:

• Intro to NumPy
• Creating Arrays in NumPy
• Using Arrays and Scalars
• Indexing NumPy Arrays
• Numpy Array Manipulation
• Array Transpotation
• Universal Array Function
• Array Processing
• Array Input and Output

Lab-Exercise:
• Importing NumPy Modules
• Creating and Initializing NumPy Arrays of different dimensions
• Working with arange in Numpy arrays
• Perform arithematic operation on NumPy Arrays
• Create 3 Dimensional NumPy array

Scientific computing using SciPy
In this Chapter, we will learn Python’s very reliable library used for Scientific and technical computing, which is SciPy, we will cover the concepts as shown below:
• Introduction to SciPy
• Its Functions Building NumPy
• Clusters, Linning, Signals, Optimization, Integration, Sub packages and SciPy with Bayesian Theory.

Lab-Exercise:
• Working with SciPy Cluster and Lining
• Import SciPy by applying the Bayes phrase to the specified notes.

  Implementing Decision Tree model in R
This Chapter will cover Pandas, a Python library used for the Data Manipulation, the topics to be covered are as shown below:
• What is data manipulation?
• Use panda libraries to manipulate data
• Dependency of NumPy library libraries
• Pandas Series objects,
• Panda data frames
• Load and process data with pandas
• Combining data objects
• Merging, and various types of data object attachments.
• Record & clean notes, edit notes, visualize notes

Hands-on Exercise – Manipulating data with pandas by Importing & navigating spreadsheets containing variable types such as float, integer, double, and others.

Learn how to create beautiful and interactive data visualizations in Python using various libraries such as:
• Matplotlib
• Seaborn
• Pandas Built-in Data Visualization
• Plotly and Cufflinks
• Geographical Plotting
Also, we will draw understand charts and diagrams using these libraries

Lab-Exercise:
• Using MatPlotLib to create pie charts, scatter plots, line graphs, and histograms
• Create Graphs and Charts using different libraries

We will start off this chapter by revising the previous concepts in data analysis such as Pandas, MatplotLib, Numpy and SciPy. Then, we will move onto the topics shown below:
• Understanding of Machine Learning
• Understanding SciKit Learn
• Need of Machine Learning
• Types in Machine Learning
• Machine Learning Worklfow
• Understanding SciKit Learn!
• Machine Learning Use-Cases
• A brief understanding of various ML Algorithms:
o Supervised Learning
o Unsupervised Learning

Lab-Exercise:
• Working with Machine Learning Algorithms


While diving more into Machine Learning, in this chapter, we will understand one of its essential types that is Supervised Learning. We will cover the topics as shown below:
• What exactly is Supervised learning?
• Understanding the Classification and Regression Algorithms
• What is linear regression and how to do calculations in Linear Regression?
• Understanding Linear regression in Python
• Understanding Logistics regression
• Working with Supports vector machine
• xgboost (standalone step)

Lab-Exercise:
• Working with
• Using SciKit Library with Random Forest algorithm for implementing Supervised Learning

After learning the concepts of Supervised Learning, this chapter will cover the yet another type of Machine Learning, which is Unsupervised Learning, below are the topics which we are going to cover:
Introduction to Unsupervised Learning
Looking into the Use Cases of Unsupervised Learning Understanding Clustering,
Types of Clustering – Exclusive Clustering, Overlapping Clustering, Hierarchical Clustering
Understanding K-Means Clustering and its algorithm
,
Stepwise calculation of k-means algorithm
Running k-means with SciKit Library
Understanding association mining rule
Market basket analysis
Working with association rule mining measures covering support, trust, lift, and apriori Algorithm,
Lab-Exercise:

• Demo on Unsupervised Learning
• Demo on Algorithms in the SciKit Learn package for applying machine learning techniques, and training the network model
• Demo on Apriori

This is an advanced topic where we will integrate spark with python for performing cluster-computing. PySpark, a tool of apache, lightning-fast cluster computing technology, designed for fast computation)
Introduction to Pyspark with PySpark, need for a Python Spark, Fundamentals of PySark, Pyspark in Industry, Installing PySpark, Fundamentals of PySpark, Excellence Mapreduce, Use of PySpark Demo and PySpark.

Hand Exercise: Demonstration of contours and conditional statements related to tuple operations, properties, lists, etc., List operations, related properties, set properties, related operations, dictionary operations, related properties

Projects

Project 1

Project Name

Elastic load balancing and its configuration

Problem Statement

As the AWS Engineer of the company, you need to launch two web servers and configure a load balancer, then auto-scale it.

Industry

Internet

Topic

Load Balancer


Project 2

Project Name

Orchestrate a website

Problem Statement

First deploy a high-availability PHP application on Elastic Beanstalk, with lesser time and higher availability along with autoscaling. The primary tasks would be launching a DB instance in Amazon RDS, creating an Elastic Beanstalk Environment, and configuring Security Groups.

Industry

Internet

Topic

Elastic Beanstalk


Project 3

Project Name

Scaling a website without zero upfront cost using AWS

Problem Statement

Without any investment in hardware you need to launch virtual servers and configure their security, also manage storage.

Industry

Internet

Topic

EC2, RDS, traffic from EC2 to RDS

Project 1

Project Name

Secure active directory by adding multi-factor authentication

Problem Statement

As the Azure Administrator of the organization, you have received a task where you need to provide access to some of the services, which are managed by the organization’s active directory. Also you need to add users in the active directory then give users access. In order to do that first you need to create users in a custom active directory domain. Then as the requirement says, set up a password authentication method with MFA verification option.

Industry

I.T

Topic

  • Azure active directory
  • Azure Multi-Factor Authentication

Project 2

Project Name

Mid-scale website deployment using Azure

Problem Statement

Your start-up is ready to hit the market. Your website is ready. Now it’s time for deployment. With the help of Azure you need to deploy the website in two different regions where you have more potential customers. You need to control, manage and monitor the traffic geographically. To ease up the processes once the traffic becomes more, you are taking a few calculated measures. Such as enabling path based Routing for your website, enabling communication between the servers, and storing data on the cloud.

Industry

I.T

Topic

  • Blob storage
  • Application gateway
  • Traffic manager
  • Virtual Network Peering

Project 1

Project Name

Implementation of DevOps in an Organization by creating CI/CD pipeline in the website

Problem Statement

Your organization is starting to grow in the market. Now, you are aiming to deliver product updates frequently to the production server without hampering the quality and reliability. But as the organization is evolving some major issues are coming up, which are mainly because while building the project, several modular components, several frameworks, components developed by 3rd party partners were used. Multiple versions of different codes, components, and environments to deploy. Now in order to resolve the issues and have continuous integration for continuous delivery you have decided to use devops.

Industry

E-Commerce

Topic

  • GIT
  • MAVEN
  • JENKINS
  • DOCKER
  • PUPPET
  • NAGIOS

Project 1

Project Name

Word matcher program

Problem Statement

Write a Python program that matches a word at the beginning of a string.

Industry

I.T

Topic

  • Regex
  • Conditional statement,
  • Function

Project 2

Project Name

Website blocker using Python

Problem Statement

Your company wants to build a program to block certain websites like Facebook, Youtube, etc during work hours. As a Python developer, the task comes to you to find a solution for the problem. Write a Python program to build the website blocker.

Industry

I.T

Topic

  • File handling
  • Time
  • DateTime

Reviews

Shaily Aggarwal

Head - Talent Acquisition

I heartily thank eduranz

I am thankful to Eduranz which is one of the best Educational organizations. I have undergone highly rated course (Cloud and Devops Master’s). The Amount which Eduranz is Charging for all the Cloud Technology is way less then other vendors in the Market. I heartily thank eduranz for helping me to make my career. The overall team [Trainers, support team, online support team] is the best.

Muhammad Zubair

Senior Technology Consultant - Network Solutions

I would recommend Eduranz to anyone

I had taken Cloud Master’s from Eduranz. The instructors were passionate about their subjects and go the extra miles to help candidates learn/configure the setup. Support staff are also very helpful. Course prices are reasonable. Like any learning, we need to practice a lot after the course and watch the recorded videos again and again to get full grasp of the subject. I would recommend Eduranz to anyone who wants to learn new and emerging technologies.

Utkarsh Joshi

Head Infrastructure Consulting - TCS

Eduranz is a revolution in Cloud Trainings

Eduranz is a revolution in Cloud Trainings. I have taken 4 courses Cloud & Devops Master’s Program from Eduranz. They have perfect material prepared professionally by highly qualified professionals and their Learning management system is very resourceful. All the Module’s Functionality work well and well designed. Instructors for the courses are very well selected. They are very responsive to their customer needs and responds within minutes to questions. They have redefined AWS, Devops, Azure for me and I am a Happy Learner of Eduranz. They keep innovating and add newer concepts every month.

Ljiljana Spasovic Botha

Business Development Officer - SASLO

Great courses

Had a great learning session where the concepts are clear to understand and can solve the given assignments easily.

Lakhi Baug

VP - Gemalto

Awesome for building professional competence

Awesome platform to learn new skills which could be new languages or IT skills or marketing. There are hundreds of courses waiting for discovery by you.

I like Eduranz because it gives me a chance to get a certificate after completing a course. Then I can share it on social media and for example, apply for a better job. It helps a bit. Eduranz is awesome for building professional competence in the job market nowadays.

Certification

Features

Personal Mentor


At the time of enrollment team Eduranz will assign one mentor for you and he will be guiding you in this lifetime Journey.

24/7 Tech Adviser Support


Lifetime 24/7 Technical and Non Technical Support from team Eduranz.

Lifetime Access


Get Lifetime opportunity to access and attend the live sessions multiple times.

Assignments & Quizzes


Every module will be followed by certification based assessment and quiz.

Certification


Become a Certified Professional.

Job Assistance


Team Eduranz will update your Resume before forwarding it to our 60+ global Clients.

FAQs

To run Python, your system must meet the following basic requirements:
1. 32- or 64-bit operating system
2. 1 GB RAM
The statement uses Anaconda and Jupiter notebooks. The E-learning video contains detailed installation instructions.

All of our highly qualified trainers are industry experts with at least 10-12 years of relevant teaching experience. Each of them underwent a rigorous selection process that included screening profiles, technical assessments, and training demonstrations before being certified for training. We also ensure that only high-level graduates live in our faculty.

Eduranz offers a 24/7 request solution and you can pick up your tickets at any time from our dedicated support team. You can use email support for all your questions. If your request is not answered via email, we can also arrange one-on-one discussions with the faculty. You will be glad to know that you can switch to Eduranz support after completing training. We also don’t limit the number of tickets you can collect when solving questions and doubts.

Eduranz offers independent learning for those who want to learn at their own pace. This training also gives you the benefits of email questions, tutorial sessions, 24×7 support, and access to modules or LMS for lifelong learning. In addition, you will receive the latest version of learning material at no additional cost. Independent Eduranz training is 75% lower than teacher-led online training. If you experience problems while studying, we can arrange virtual courses directly with the trainer at any time.

Eduranz offers the most up-to-date, relevant and valuable projects in the real world as part of the training program. In this way, you can integrate what you have learned in the real industry. Each training is delivered with various projects where you can thoroughly test your skills, learning and practical knowledge so that you are well prepared for the industry. They work on very interesting projects in the fields of high technology, e-commerce, marketing, sales, networking, banking, insurance and more. After successfully completing your project, your skills will be counted as a result of six months intensive industry experience.

Eduranz actively supports all trainees who have successfully completed the training. That’s why we are involved in more than 80 top MNCs worldwide. This way you can be in exclusive organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, Cisco and other similar-sized companies. We also support you during job interviews and preparation of your CV.

In any case, you can switch from self-directed self-training to online training only by paying an additional amount and participating in the next set of training that will be specifically notified to you.

After completing the Eduranz Training Program along with all real projects, tests and assignments and achieving at least 60% points in the qualification exam; You received a certificate that was certified by Eduranz. This certification is recognized by Eduranz’s partner organizations, which includes a lot of top MNCs worldwide that are also part of the Fortune 500 list.

In our job support program, we help you start your dream job by sharing your resume with potential tenants, helping you make resumes, and preparing you for interview questions. Eduranz training should not be seen as an employment agency or employment guarantee, because the entire employment process is handled directly between the student and the employing company and the final choice is always left to the employer.

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