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AWS DevOps Training in Mumbai

Intellipaat’s AWS DevOps training in Mumbai is brought to you by real-time experts with the best placement assistance. The program is designed to help you become a certified professional in the AWS DevOps Administration. It covers the principles of provisioning, managing, and operating distributed applications, along with technical expertise on CodeCommit, OpsWorks, etc.

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Key Features

70 Hrs Instructor-led Training
58 Hrs Self-paced Videos
108 Hrs Project Work & Exercises
Flexible Schedule
24 x 7 Lifetime Support & Access
Certification and Job Assistance

Course Benefits

4.8/5 Student Satisfaction Rating
Students Transitioned for Higher Positions
Started a New Career After Completing Our Courses
Got Better Salary Hike and Promotion
Average Salary Per Year $10281
AWS Devops Engineer
Sr. Devops Engineer
Cloud & Devops Architect
$6421 Starting
$10281 Median
$26316 Experienced
Companies Hiring AWS DevOps Professionals
And 1,000+ Global Companies

AWS DevOps Training in Mumbai Overview

This AWS DevOps course in Mumbai details popular modules of AWS DevOps. The core functionalities that are covered in our program are Cloud Computing, Ansible, Docker, Jenkins, Puppet, Nagios, etc. Alongside, various aspects of the AWS DevOps delivery model are incorporated within the program.

What are the key topics covered in the course of AWS DevOps training in Mumbai?

The AWS DevOps training in Mumbai program demonstrates the below topics with much efficiency:

  • Terraform provider use cases: Resources in multiple regions
  • Validating Terraform configuration files
  • AWS CodeDeploy
  • Monitoring system info using NRPE plugins
  • Kubernetes architecture
  • Creating an end-to-end automated CI/CD pipeline
  • Concept of the headless mode

Though a fresher can gain expertise from the course, this AWS DevOps training is best suitable for professionals below:

  • Technical Project Managers
  • Development Managers
  • IT Employees
  • Operations Support Workforce

There are no specific prerequisites. However, technical expertise on the fundamentals of Java, Web Development, and Linux can come handy in understanding the concepts quicker.

Let’s look at some of the facts that might interest you for joining our AWS DevOps course in Mumbai:

  • The average AWS DevOps Engineer salary in Mumbai is ₹772,000 per annum – Glassdoor
  • People with AWS DevOps skills are attracting a handsome pay package amidst high demand in India – The Economic Times
  • The DevOps industry is expected to grow 6 times higher by the year 2022 – Gartner
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The most powerful tool we have as developers is automation. - Scott Hanselman
Devops jobs have seen a 75% increase from the year 2019 - Indeed.com

Skills Covered

  • EC2 (Elastic Cloud Compute)
  • EBS(Elastic Block Store)
  • VPC(Virtual Private Cloud)
  • Storage services
  • RDS(Relational Database Services)
  • IAM(Identity Access Management)
  • Load Balancer & Auto Scaling
  • Cloud Formation
  • Elastic Beanstalk
  • Lambda
  • Code Deploy
  • Code Build
  • Code Pipeline
  • GIT
  • Docker
  • Puppet
  • Ansible
  • Jenkins
  • Kubernetes
  • Nagios
  • Terraform
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Fees

Self Paced Training

  • 58 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
  • 23
$439

Online Classroom preferred

  • Everything in self-paced, plus
  • 70 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 29 Sep
  • TUE - FRI
  • 07:00 AM TO 09:00 AM IST (GMT +5:30)
  • 04 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 10 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 18 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$ 700 $562 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise-grade Learning Management System (LMS)
  • 24x7 Support
  • Strong Reporting

AWS DevOps Training Course Content

Introduction to Cloud Computing & AWS Preview

What is Cloud Computing, how AWS is the leader in the cloud domain, various cloud computing products offered by AWS, introduction to AWS S3, EC2, VPC, EBS, ELB, AMI, getting a detailed understanding of the AWS architecture and the AWS Management Console, introduction to AWS EC2, comparing Public IP and Elastic IP, demonstrating how to launch an AWS EC2 instance, what is auto scaling, AWS EC2 best practices and cost involved, understanding various concepts of backup services in AWS.

Hands-on Exercise – Setting up of AWS account, how to launch an EC2 instance, process of hosting a website and launching a Linux Virtual Machine using an AWS EC2 instance.

Database services

Elastic Block Storage (EBS) for block level persistent storage volumes with S3 buckets, understanding Amazon RDS and Amazon Aurora which are relational databases, Amazon DynamoDB which is a NoSQL database, understanding Amazon Redshift which is a data warehousing product, Amazon ElasticCache which is an in-memory data store, deploying AWS database migration service.

Hands-on Exercise – How to create an Amazon RDS instance, creating a Read Replica instance of RDS, creating Table in master RDS, how to add data to master RDS, adding data to replica RDS, using Aurora to create a PostgreSQL and MySQL instance, within DynamoDB creating a NoSQL table and running queries.

Introduction to AWS storage, AWS S3 (Simple Storage Service), creating an AWS S3 bucket, AWS Storage Gateway, understanding the Command Line Interface (CLI), hosting a static website using Amazon S3, Amazon Glacier storage for long-term data backup and archiving and Amazon Snowball for data import/export.
Hands-on Exercise – How to run an AWS CLI command, deploying the AWS Storage Gateway for connecting cloud-based storage with the on-premise software.

Understanding Fault Tolerance in AWS, in-depth study of Elastic Load Balancing, the types of Load Balancers viz. Classic and Application, AWS Auto Scaling mechanism, understanding AWS Management Console, how to access the Elastic Load Balancing, studying AWS SDK, AWS CLI and Https Query API.

Hands-on Exercise – How to create an Elastic Load Balancer (ELB), configuration of auto scaling group and familiarizing with the Management Console.

What is Amazon VPC, VPC as a networking layer for EC2, getting started with VPC, examples, VPC and Subnets, default and non-default VPCs, components of VPC networking, IP addressing, security, VPN connections, accessing the internet, using AWS PrivateLink to access the services and VPC supported platforms.

Hands-on Exercise – Create a Virtual Private Network for an AWS EC2 instance and access it over the internet and via a private network using AWS PrivateLink.

Introduction to various AWS application services, Elastic Beanstalk, Simple Email Services (SES), Simple Notification Service (SNS), AWS Lambda, Elastic OpsWorks and CLI.

Hands-on Exercise – How to run an app using AWS Elastics Beanstalk, deploying SES to send email, enabling and generating notification service, using AWS Lambda to copy object, modeling and provisioning your app with AWS OpsWorks.

Authentication (who can use) and Authorization (level of access), IAM Policies – JSON structure, users, groups and their Roles, IAM HTTPS API, logging IAM events with AWS CloudTrail, monitoring and managing AWS resources using CloudWatch, deploying configuration alerts and notifications with CloudWatch, billing for CloudWatch.

Hands-on Exercise – How to create a JSON document using which the access policy for groups and users in defined, logging IAM events using AWS CloudTrail.

Configuration management and automation of server configuration using OpsWorks, determining how servers are configured, managed and deployed across EC2 instances, creating a virtual machine using Amazon Machine Image (AMI), introduction to the Domain Name Registration service AWS Route 53, how to route internet traffic to resources, checking health of resources automatically, provisioning of infrastructure resources using AWS CloudFormation.

Hands-on Exercise – How to register a domain using Route 53, routing internet traffic to the resources and automatically checking health of resources.

Important guidelines for creating a well architected AWS framework that is resilient and performant, designing of fault-tolerant and high-availability architecture, resilient storage, decoupling mechanism, multi-tier architecture solution, disaster recovery solution, scalable and elastic solutions.

guidance for clearing the exam, most probable interview questions and other helpful tips for clearing the exam and interview.

Migrating to the AWS cloud, business drivers for migration, various stages of cloud adoption, the actual migration process, migration tools and services in AWS, migrating customers to AWS cloud, track the progress of application migration, types of migration including data migration, application migration and databases migration.

AWS cloud security essentials, penetration testing, security compliance, infrastructure security, mitigating DDOS, Identity and Access Control (IAM), logging and monitoring, automatic audits and compliance, limitations and challenges of native AWS security.

  • Installation of Devops Tools on AWS
    • Git
    • Docker
    • Selenium
    • Maven
    • Jenkins
    • Puppet
    • Ansible
    • Kubernetes
    • Nagios
  • What is Software Development
  • Software Development Life Cycle
  • Traditional Models for SDLC
  • Why Devops?
  • What is Devops?
  • Devops Lifecycle
  • Devops Tools
  • What is Version Control
  • Types of Version Control System
  • Introduction to SVN
  • Introduction to Git
  • Git Lifecycle
  • Common Git Commands
  • Working with Branches in Git
  • Merging Branches
  • Resolving Merge Conflicts
  • Git Workflow

Hands-on Exercise – 

  • Git Life cycle Commands
  • Pushing Code to Github
  • Stashing Code in git
  • Creating, Deleting Git Branches
  • Reverting a Push to GitHub
  • Merging branches using git merge
  • Merging branches using git rebase
  • Resolving merge conflicts using git merge tool
  • Introduction to Docker
  • Understanding Docker Lifecycle
  • Components of Docker Ecosystem
  • Common Docker Operations
  • Creating a DockerHub Account
  • Committing changes in a Container
  • Pushing a Container Image to DockerHub
  • Creating Custom Docker Images using Dockerfile

Hands-on Exercise – 

  • Common Docker Operations
  • Creating a DockerHub Account
  • Committing Changes to a Container
  • Pushing container to DockerHub
  • Creating Local Image Repository
  • Building an Image using Dockerfile
  • What are Docker Volumes
  • Deploying a Multi-Tier Application using Docker Network
  • Using Docker Compose to deploy containers
  • What is Container Orchestration
  • Container Orchestration Tools
  • Introduction to Docker Swarm
  • Deploying a 2-Node Cluster using Docker Swarm

Hands-on Exercise – 

  • Creating Docker Volumes
  • Using Docker Compose to deploy multiple containers
  • Deploying a Multi Node Cluster using Docker Swarm
  • Deploying a multi-service app on Docker Swarm
  • Need of Configuration Management
    Configuration Management Tools
  • What is Puppet
  • Puppet Architecture
  • Setting up Master Slave using Puppet
  • Puppet Manifests
  • Puppet Modules
  • Applying configuration using Puppet
  • Puppet File Server

Hands-on Exercise – 

  • Setting up Master Slave on AWS
    Testing Connection of nodes with Puppet
  • Creating a Manifest
    Deploying Manifest on Node
  • Creating a Module
  • Deploying sample software on nodes using Puppet Modules and Manifests
  • Implementing a File Server Module on Puppet
  • What is Ansible?
  • Ansible vs Puppet
  • Ansible Architecture
  • Setting up Master Slave using Ansible
  • Ansible Playbook
  • Ansible Roles
  • Applying configuration using Ansible

Hands-on Exercise – 

  • Installing Ansible on AWS
  • Creating a Playbook using YAML
  • Creating an Ansible Role
  • Using Roles in Playbook
  • What is Continuous Testing?
  • What is Maven?
  • Running Test Cases on Chromium Web Driver
  • What is Headless Mode?

Hands-on Exercise – 

  • Using Maven to import dependencies in Eclipse
  • Implementing a headless test using Chrome WebDriver
  • Introduction to Continuous Integration
  • Jenkins Master Slave Architecture
  • Understanding CI/CD Pipelines
  • Creating an end to end automated CI/CD Pipeline

Hands-on Exercise –

  • Creating a Jenkins Master Slave on AWS
  • Installing Plug-ins in Jenkins
  • Creating Jenkins Builds
  • Creating Scheduled Builds
  • Triggering Jobs using Git Web Hooks
  • Using the Pipeline Plugin In jenkins
  • Introduction to Kubernetes
  • Docker Swarm vs Kubernetes
  • Kubernetes Architecture
  • Deploying Kubernetes using Kubeadms
  • Alternate ways of deploying Kubernetes
  • YAML Files
  • Creating a Deployment in Kubernetes using YAML
  • Services in Kubernetes
  • Ingress in Kubernetes
  • Case Study – Kubernetes Architecture

Hands-on Exercise – 

  • Setting up Kubernetes using kubeadm
  • Installing Kubernetes using kops and GCK
  • Creating a Deployment
  • Creating Services
  • Creating an Ingress
  • Demonstrating the use of Ingress, services and deployments together
  • What is Continuous Monitoring
  • Introduction to Nagios
  • Nagios Architecture
  • Monitoring Services in Nagios
  • What are NRPE Plugins
  • Monitoring System Info using NRPE plugins

Hands-on Exercise – 

  • Installing Nagios
  • Monitoring of different servers using Nagios
  • How to deploy DevOps principles and methodology on the AWS platform
  • DevOps lifecycle and the important stages in the DevOps methodology
  • What is AWS CodeBuild
  • AWS CodeCommit
  • AWS CodePipeline
  • AWS CodeDeploy.
  • Installing Terraform – Windows Users
  • Installing Terraform – Linux Users
  • Choosing Right IDE for Terraform IAC development
  • Creating first EC2 instance with Terraform
  • Terraform Code – First EC2 Instance
  • Understanding Resources & Providers
  • Destroying Infrastructure with Terraform
  • Destroying Specific Resource
  • Understanding Terraform State files
  • Understanding Desired & Current States
  • Challenges with the current state on computed values
  • Terraform Commands – State Files
  • Terraform Provider Versioning
  • Types of Terraform Providers
  • Understanding Attributes and Output Values in Terraform
  • Attribute Resource (Document)
  • Referencing Cross-Account Resource Attributes
  • Terraform Variables
  • Data Types for Variables
  • Fetching Data from Maps and List in Variable
  • Terraform Format
  • Validating Terraform Configuration Files

hands on

  • Implementing remote-exec provisioners
  • Implementing local-exec provisioners
  • Integrating Ansible with Terraform
  • What is Infrastructure as a code
  • Iac vs Configuration Management
  • Introduction to Terraform
  • Installing Terraform on AWS
  • Basic Operations in terraform
    • init
    • plan
    • apply
    • destroy
  • Terraform Code Basics
  • Deploying and end-to-end architecture on AWS using Terraform

Hands-on Exercise – 

  • Installing Terraform
  • Initializing AWS Terraform Provider
  • Creating an EC2 instance using Terraform
  • Updating changes to EC2 using Terraform
  • Destroying EC2 using Terraform
  • Deploying EC2 inside a custom VPC using Terraform
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70
Hours of Instructor-led Training
58
Hours of Self-paced Videos
23
Guided Projects to Practice
24/7
Lifetime Technical Support

Free Career Counselling

AWS DevOps Projects Covered

Creating CI/CD Pipeline to build and test a Website

Creating a CI/CD Pipeline to integrate devops tools like git, docker, Jenkins, puppet and selenium. In this project, we will be containerizing a website which will be pushed to git, and then will be deployed automatically on the testing server, and if everything goes well, will be pushed to production servers.

Creating Architecture for an Application.

Creating a complete architecture for a python application and launching it over the internet. For creating the infrastructure for application we have used services like VPC, EC2, Load Balancing, RDS, S3, SNS,IAM,Route53. In this project, we will be hosting the application in a secured architecture so that the code present in the github will be hosted over AWS. Once the user enters data then the data will be stored in Databases and once the objects are pushed to S3 then automatically it will trigger a notification over mail.

Implementing Devops Life Cycle Using AWS.

Create a complete lifecycle of Devops over AWS, Using the services provided by AWS Devops. We will use the below tools/services. Git. Code Commit, Code Deploy, Code Pipeline. Once the code is built then it will be sent to the QA stage, Once it is passed then the code will be pushed to the Elastic Beanstalk.

Deploying a website for High Availability and High Resilience

In this project, we will design an architecture which can automatically scale up and down based on traffic and is decoupled for components like Database, webapp etc.

Sending Notifications to patients using push notifications.

In this project, we will design an architecture on AWS, which can send notifications to customers once the patient feedback is pushed in the system. We will be using services like SNS, AWS Lambda, EC2 and more.

Deploying an app on Kubernetes using CI/CD Pipelines

In this project, you will be creating a CI/CD pipeline which is integrated with Kubernetes. This project will make use of tools like Git, Docker, Jenkins, selenium and Kubernetes. First we will containerize the code pushed in git, save the docker image and then push the image to Dockerhub. Finally it will be deployed on Kubernetes

Merging Git Branches

In this project, we will understand the importance of merging branches in git. We will be using a production use case where merging is required, based on the use case we will have to decide whether we will be using git merge or rebase. Since this is a production problem, we will also have to make use of Git Workflows.

Deploying a Multi-Tier Website Using AWS EC2

For this project, you will have to scale a website fast using AWS without the upfront cost of hardware. You will learn to launch an EC2 instance, enable auto-scaling of EC2, configure security and networking, manage storage, create an RDS instance, and allow traffic from EC2 to RDS instance.

Website Orchestration

You will orchestrate a website with lesser time and higher availability along with autoscaling. In this AWS project, you will deploy a high-availability PHP application with an external Amazon RDS database to Elastic Beanstalk, launch a DB instance in Amazon RDS, create an Elastic Beanstalk Environment and configure security groups and scaling.

Containerizing Various Frameworks and NGINX Application using Docker

This project is about integrating the software projects deployed in diverse environments such as NGINX, Node.Js, MongoDB, and ASP.NET using Docker. The highlights of this project are setting up Node.js on Docker container, puling NGINX image from Docker hub, and deploying Windows Powershell and Hyper-V.

Using Different Operations on EC2 and EWS

The case study is to replicate or copy EC2 instances to varied regions depending upon the High Availability. Furthermore, the main strategy is to extend the size of EBS volumes without losing the data. The major highlights of this case study are to scale and mount the EBS volumes to different EC2 instances one at a time.

Autoscaling Compute Capacity in AWS

The major aim of this case study is to Autoscale (scaling up and down automatically) and Load Balance among multiple EC2 instances within AWS based on varied/defined metrics for Autoscaling instances. Also, the case study deals with and routing custom domains to AWS resources.

Creating custom VPCs in AWS

In this case study, the candidate will create a custom VPC in AWS with the help of multiple subnets having both private as well as public access. The route tables are also configured to subnets using the Internet Gateway and NAT Gateway.

Using AWS S3 for Lifecycle Access Management

The case study deals with moving artifacts from on-premise to S3 in the most cost-efficient manner. Furthermore, it deals with the creation of Lifecycle rules for events in S3 objects, hosting a static website, and experimenting with the usage of route 53.

Highly available Relational Database in AWS

This case study is all about creating a highly available and scalable AWS Database Service in AWS using RDS. The process involves creating Database Architecture, collecting data for real-time analysis, and relocating the latency issues.

CloudFormation for Infrastructure as a Cloud

The case study involves provisioning and deploying AWS Resources using AWS CloudFormation. Within the process, the candidate has to define rules for deletion using IaC and also minimize the deployment time.

Administering user access using AWS IAM

In this case study, the candidate will create users in IAM for defining granular access that differs with each user. Alongside he/she will also define custom policies that add users to groups.

Application Services in AWS and Configuration Management

The main aim of this case study is to use application services in AWS Lambda for deploying code and also conduct configuration management using OpsWork. Alongside, WebApp is also deployed to Elastic Beanstalk.

Implementing Git Workflow

Analyzing and using a specific Git Workflow scenario. In this case study, you will work with industry-standard architectures, merging branches, and simulating a working architecture in Git. You will have to be familiar with topics such as Git branches, Git workflows, merging, and rebasing to work on this case study.

Resolving Merge Conflicts

Understanding how to resolve merge conflicts in various scenarios. The case study is about understanding the difference between merging and rebasing. Through this case study, you will have an in-depth and up-close working knowledge of DevOps topics such as Git branches, merging, and rebasing.

Creating Custom Containers in Docker

Creating a custom container from the base Ubuntu container. In this case study, you will be required to create a Dockerfile, push the container to Dockerhub, and create custom Docker images. Through this case study, you will cover the working knowledge and implementation of Dockerfile and Dockerhub in DevOps.

Using Bind mounts, Docker Compose, and Docker Swarm

In this case study, you will be deploying an application using Docker compose, Bind Mounts, and Docker Swarm. You will create and use Bind mounts in Docker, deploy multiple docker applications with Docker Compose, and create a Docker Swarm cluster and deploy applications over it. You will also use Docker storage and Docker Networks.

Using Puppet for Configuration Management

In this case study, you will be learning how to work with Docker, puppet manifests, conditional statements, modules, and classes to create Modular scripts and also to manage a large fleet of servers with Puppet.

Using Selenium to Create Automated Test Cases

In this case study, you will be required to create automated test cases using Selenium. You will also have to create runnable jar files and run headless tests in Chrome using Non-GUI Linux. Through this case study, you will have a thorough understanding of how Selenium, runnable jar files, ChromeDriver, and headless tests work.

AWS-Certified DevOps Engineer Professional Examination Certification

Our course is designed with a motive to help learners to develop skills in AWS and DevOps. This course will help you fetch the highest-paying jobs in top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thereby empowering you to fast-pace your career.

At the end of this training program, there will be a Capstone Project that perfectly investigates your grasp on the subject.

Intellipaat Course Completion Certificate will be awarded upon the completion of the project work (after expert review) and upon scoring at least 60 percent marks in the quiz. Our certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

AWS DevOps Review

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Ashok

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Cloud Architect at ZealSofts

The customer service at Intellipaat is awesome! I got quick response whenever I raised ticket. Learning is made easy, quiz made my learning more interesting.

Frequently Asked Questions on AWS DevOps

Why Should I Learn AWS and DevOps from Intellipaat?

Intellipaat’s AWS DevOps Training gives you hands-on experience which is demanded by some of the biggest corporations in the world. You can master the concepts of AWS and DevOps, along with working on step-by-step assignments that have high relevance in the corporate world, and the curriculum of this course is designed by industry experts. Upon the completion of the training course, you can apply for some of the best jobs in top MNCs around the world as Devops and AWS Professionals. Intellipaat offers lifetime access to our videos, course materials, 24/7 support, and course material upgrading to the latest version at no extra fee. Hence, it is clearly a one-time investment.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering the 24/7 query resolution, and you can raise a ticket with the dedicated support team at anytime. You can avail of the email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our trainers.

You would be glad to know that you can contact Intellipaat support even after the completion of the training. We also do not put a limit on the number of tickets you can raise for query resolution and doubt clearance.

Intellipaat offers self-paced training to those who want to learn at their own pace. This training also gives you the benefits of query resolution through email, live sessions with trainers, round-the-clock support, and access to the learning modules on LMS for a lifetime. Also, you get the latest version of the course material at no added cost.

Intellipaat’s self-paced training is 75 percent lesser priced compared to the online instructor-led training. If you face any problems while learning, we can always arrange a virtual live class with the trainers as well.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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