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DevOps Architect Master’s Training Program

Master Program

This DevOps Architect course has been created to give you complete proficiency in the DevOps domain. This training course includes individual courses in DevOps, AWS, Python, AWS SysOps, Docker, Kubernetes, Git, and GitHub. You will work on real-world projects to get hands-on experience in this domain, which will help you become a certified DevOps Architect.

In Collaboration with course image
  • 8+

    Courses

  • 15+

    Projects

  • 119

    Hours

What you will Learn 8 Courses

  • Online Classroom Training

    • Course 1
      DevOps
    • Course 2
      AWS
    • Course 3
      AWS SysOps
    • Course 4
      Docker
    • Course 5
      Kubernetes
    • Course 6
      Git and Github
    • Course 7
      Python
  • Self Paced Training

    • Course 8
      Linux
  • Get Master's Certificate

Key Features

119 Hrs Instructor Led Training
45 Hrs Self-paced Videos
210 Hrs Project work & Exercises
Certification and Job Assistance
Flexible Schedule
Lifetime Free Upgrade
24 x 7 Lifetime Support & Access

Course Fees

Self Paced Training

  • 45 Hrs e-learning videos
  • Lifetime Free Upgrade
  • 24 x 7 Lifetime Support & Access
$790

Online Classroom preferred

  • Everything in self-paced, plus
  • 119 Hrs of Instructor-led Training
  • 1:1 Doubt Resolution Sessions
  • Attend as many batches for Lifetime
  • Flexible Schedule
  • 26 Sep
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 04 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
  • 06 Oct
  • TUE - FRI
  • 06:00 AM TO 08:00 AM IST (GMT +5:30)
  • 10 Oct
  • SAT - SUN
  • 08:00 PM TO 11:00 PM IST (GMT +5:30)
$965 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 support
  • Strong Reporting

Overview

This is an industry-designed DevOps Architect training course that will help you learn the key skills needed to be a DevOps expert. As part of this training, you will learn the complete DevOps methodology to bridge the gap between IT development and operations teams. You will master various tools like Docker, AWS SysOps, Git, Kubernetes, Puppet, Chef, Ansible, Python, AWS, and more through hands-on projects included in this program.

List of Courses Included

Online Instructor-led Courses:

  • DevOps
  • AWS
  • AWS SysOps
  • Docker
  • Kubernetes
  • Git and GitHub
  • Python

Self-paced Courses:

  • Linux
  • DevOps methodology practices and principles
  • Software application containerization with Docker
  • Container orchestration with Kubernetes
  • Chef, Puppet, Ansible, Nagios, and other tools
  • AWS cloud platform and applications
  • Real-time visibility across the delivery life cycle with Splunk

IT Professionals, Software Testers, System Admins, Solutions Architects, Security Engineers, Application Developers, and Integration Specialists

There are no prerequisites for taking up this DevOps Architect certification training. However, a basic knowledge of coding will be an added advantage.

Today, DevOps is indispensable in any software organization. Taking Intellipaat’s DevOps Architect training can help you master the skills needed to take on highly coveted jobs in the DevOps domain. You will get hands-on experience in working with various DevOps tools, deploying automation and creating synergies between the software development and operations domains, and hence you will become an expert in implementing DevOps practices in real world. Upon the completion of the training, your skills well be very much in demand in the software industry.

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Testimonials

John Chioles

Ritesh Bhagwat

Mr Yoga

Dileep & Ajay

Sagar

Ashok Guntupalli

Jasmin Thomas

Cloud & DevOps Architect at Hewlett Packard Enterprise

The entire course content for the Intellipaat DevOps architect course is very rich, industry-oriented and easy-to-understand. Thank you Intellipaat for creating such a great learning material.

Course Content

Module 01 - Infrastructure Setup

1.1 EC2 Walkthrough

1.2 Installation of DevOps Tools on cloud

    • Git
    • Docker
    • Selenium
    • Maven
    • Jenkins
    • Puppet
    • Ansible
    • Kubernetes
    • Nagios

Module 02 - Introduction to DevOps

2.1 What is Software Development
2.2 Software Development Life Cycle
2.3 Traditional Models for SDLC
2.4 Why DevOps?
2.5 What is DevOps?
2.6 DevOps Lifecycle
2.7 DevOps Tools

Module 03 - Continuous Testing

3.1 What is Continuous Testing?
3.2 What is Maven?
3.3 Running Test Cases on Chromium Web Driver
3.4 What is Headless Mode?

Hands-on Exercise – 

1. Using Maven to import dependencies in Eclipse
2. Implementing a headless test using Chrome WebDriver

Module 04 - Continuous Integration using Jenkins

4.1 Introduction to Continuous Integration
4.2 Jenkins Master Slave Architecture
4.3 Understanding CI/CD Pipelines
4.4 Creating an end to end automated CI/CD Pipeline

Hands-on Exercise –

1. Creating a Jenkins Master Slave on AWS
2. Installing Plug-ins in Jenkins
3. Creating Jenkins Builds
4. Creating Scheduled Builds
5. Triggering Jobs using Git Web Hooks
6. Using the Pipeline Plugin In Jenkins

Module 05 - Software Version Control

5.1 What is Version Control
5.2 Types of Version Control System
5.3 Introduction to SVN
5.4 Introduction to Git
5.5 Git Lifecycle
5.6 Common Git Commands
5.7 Working with Branches in Git
5.8 Merging Branches
5.9 Resolving Merge Conflicts
5.10 Git Workflow

Hands-on Exercise – 

1. Git Life cycle Commands
2. Pushing Code to Github
3. Stashing Code in git
4. Creating, Deleting Git Branches
5. Reverting a Push to GitHub
6. Merging branches using git merge
7. Merging branches using git rebase.
8. Resolving merge conflicts using git merge tool

Module 06 - Continuous Deployment: Containerization with Docker

6.1 Introduction to Docker
6.2 Understanding Docker Lifecycle
6.3 Components of Docker Ecosystem
6.4 Common Docker Operations
6.5 Creating a DockerHub Account
6.6 Committing changes in a Container
6.7 Pushing a Container Image to DockerHub
6.8 Creating Custom Docker Images using Dockerfile

Hands-on Exercise – 

1. Common Docker Operations
2. Creating a DockerHub Account
3. Committing Changes to a Container
4. Pushing container to DockerHub
5. Creating Local Image Repository
6. Building an Image using Dockerfile

Module 07 - Containerization with Docker: Ecosystem and Networking

7.1 What are Docker Volumes
7.2 Deploying a Multi-Tier Application using Docker Network
7.3 Using Docker Compose to deploy containers
7.4 What is Container Orchestration
7.5 Container Orchestration Tools
7.6 Introduction to Docker Swarm
7.7 Deploying a 2-Node Cluster using Docker Swarm

Hands-on Exercise – 

1. Creating Docker Volumes
2. Using Docker Compose to deploy multiple containers
3. Deploying a Multi Node Cluster using Docker Swarm
4. Deploying a multi-service app on Docker Swarm

Module 08 - Configuration Management using Puppet

8.1 Need of Configuration Management
8.2 Configuration Management Tools
8.3 What is Puppet
8.4 Puppet Architecture
8.5 Setting up Master Slave using Puppet
8.6 Puppet Manifests
8.7 Puppet Modules
8.8 Applying configuration using Puppet
8.9 Puppet File Server

Hands-on Exercise – 

1. Setting up Master Slave on AWS
2. Testing Connection of nodes with Puppet
3. Creating a Manifest
4. Deploying Manifest on Node
5. Creating a Module
6. Deploying sample software on nodes using Puppet Modules and Manifests
7. Implementing a File Server Module on Puppet

Module 09 - Configuration Management using Ansible

9.1 What is Ansible?
9.2 Ansible vs Puppet
9.3 Ansible Architecture
9.4 Setting up Master Slave using Ansible
9.5 Ansible Playbook
9.6 Ansible Roles
9.7 Applying configuration using Ansible

Hands-on Exercise – 

1. Installing Ansible on AWS
2. Creating a Playbook using YAML
3. Creating an Ansible Role
4. Using Roles in Playbook

Module 10 - Continuous Orchestration using Kubernetes

10.1 Introduction to Kubernetes
10.2 Docker Swarm vs Kubernetes
10.3 Kubernetes Architecture
10.4 Deploying Kubernetes using Kubeadms
10.5 Alternate ways of deploying Kubernetes
10.6 YAML Files
10.7 Creating a Deployment in Kubernetes using YAML
10.8 Services in Kubernetes
10.9 Ingress in Kubernetes
10.10 Case Study – Kubernetes Architecture

Hands-on Exercise – 

1. Setting up Kubernetes using kubeadm
2. Installing Kubernetes using kops and GCK
3. Creating a Deployment
4. Creating Services
5. Creating an Ingress
6. Demonstrating the use of Ingress, services and deployments together

Module 11 - Continuous Monitoring using Nagios

11.1 What is Continuous Monitoring
11.2 Introduction to Nagios
11.3 Nagios Architecture
11.4 Monitoring Services in Nagios
11.5 What are NRPE Plugins
11.6 Monitoring System Info using NRPE plugins

Hands-on Exercise – 

1. Installing Nagios
2. Monitoring of different servers using Nagios

Module 12 - Terraform Modules & Workspaces

12.1 What is Infrastructure as a code
12.2 Iac vs Configuration Management
12.3 Introduction to Terraform
12.4 Installing Terraform on AWS
12.5 Basic Operations in terraform

  • init
  • plan
  • apply
  • destroy

12.6 Terraform Code Basics
12.7 Deploying and end-to-end architecture on AWS using Terraform

Hands-on Exercise – 

1. Installing Terraform
2. Initializing AWS Terraform Provider
3. Creating an EC2 instance using Terraform
4. Updating changes to EC2 using Terraform
5. Destroying EC2 using Terraform
6. Deploying EC2 inside a custom VPC using Terraform

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.

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.

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.

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 Blind 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 Blind 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.

Module 01 - Introduction to Cloud Computing & AWS

1.1 What is Cloud Computing
1.2 Cloud Service & Deployment Models
1.3 How AWS is the leader in the cloud domain
1.4 Various cloud computing products offered by AWS
1.5 Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
1.6 AWS architecture and the AWS Management Console, virtualization in AWS (Xen hypervisor)
1.7 What is auto-scaling
1.8 AWS EC2 best practices and cost involved.

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

Module 02 - Elastic Compute and Storage Volumes

2.1 Introduction to EC2
2.2 Regions & Availability Zones(AZs)
2.3 Pre-EC2, EC2 instance types
2.4 Comparing Public IP and Elastic IP
2.5 Demonstrating how to launch an AWS EC2 instance
2.6 Introduction to AMIs, Creating and Copying an AMI
2.7 Introduction to EBS
2.8 EBS volume types
2.9 EBS Snapshots
2.10 Introduction to EFS
2.11 Instance tenancy- Reserved and Spot instances
2.12 Pricing and Design Patterns.

Hands-on Exercise –
1. Launching an EC2 instance
2. Creating an AMI of the launched instance
3. Copying the AMI to another region
4. Creating an EBS volume
5. Attaching the EBS volume with an instance
6. Taking backup of an EBS volume
7. Creating an EFS volume and mounting the EFS volume to two instances.

Module 03 - Load Balancing, Autoscaling and DNS

3.1 Introduction to Elastic Load Balancer
3.2 Types of ELB – Classic, Network and Application
3.3 Load balancer architecture
3.4 Cross-zone load balancing
3.5 Introduction to Auto Scaling, vertical and horizontal scaling, the lifecycle of Auto Scaling
3.6 Components of Auto Scaling, scaling options and policy, instance termination
3.7 Using load balancer with Auto Scaling
3.8 Pre-Route 53 – how DNS works
3.9 Routing policy, Route 53 terminologies, Pricing.

Hands-on Exercise –
1. Creating a Classic ELB
2. Creating an Application ELB
3. Creating an auto-scaling group
4. Configuring an auto-scaling group
5. Integrating ELB with Auto Scaling
6. Redirect traffic from domain name to ELB using Route 53.

Module 04 - Virtual Private Cloud

4.1 What is Amazon VPC,
4.2 VPC as a networking layer for EC2,
4.3 IP address and CIDR notations,
4.4 Components of VPC – network interfaces, route tables, internet gateway, NAT,
4.5 Security in VPC – security groups and NACL, types of VPC, what is a subnet, VPC peering with scenarios, VPC endpoints, VPC pricing and design patterns.
Hands-on Exercise –
1. Creating a VPC and subnets,
2. Creating a 3 Tier architecture with security groups,
3. NACL, Internet gateway and NAT gateway,
4. Creating a complete VPC architecture.

Module 05 - Storage - Simple Storage Service (S3)

5.1 Introduction to AWS storage
5.2 Pre-S3 – online cloud storage
5.3 API, S3 consistency models
5.4 Storage hierarchy, buckets in S3
5.5 Objects in S3, metadata and storage classes, object versioning, object lifecycle management, cross-region replication, data encryption, connecting using VPC endpoint, S3 pricing.

Hands-on Exercise –
1. Creating an S3 bucket
2. Uploading objects to the S3 bucket
3. Enabling object versioning in the S3 bucket
4. Setting up lifecycle management for only a few objects
5. Setting up lifecycle management for all objects with the same tag
6. Static website hosting using S3.

Module 06 - Databases and In-Memory DataStores

6.1 What is a database, types of databases, databases on AWS
6.2 Introduction to Amazon RDS
6.3 Multi-AZ deployments, features of RDS
6.4 Read replicas in RDS, reserved DB instances
6.5 RDS pricing and design patterns
6.6 Introduction to Amazon Aurora, benefits of Aurora, Aurora pricing and design patterns
6.7 Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing and design patterns
6.8 What is Amazon Redshift, advantages of Redshift
6.9 What is ElastiCache, why ElastiCache.

Hands-on Exercise –
1. Launching a MySQL RDS instance
2. Modifying an RDS instance
3. Connecting to the DB instance from your machine
4. Creating a multi-az deployment
5. Create an Aurora DB cluster
6. Creating an Aurora replica
7. Creating a DynamoDB table.

Module 07 - Management and Application Services

7.1 Introduction to CloudFormation
7.2 CloudFormation components
7.3 CloudFormation templates
7.4 The concept of Infrastructure-as-a-code
7.5 Functions and pseudo parameters
7.6 Introduction to Simple Notification Service, how does SNS work
7.7 Introduction to Simple Email Service, how does SES work
7.8 Introduction to Simple Queue Service, how does SQS work.

Hands-on Exercise –
1. Creating a CloudFormation stack
2. Launching a t2.micro
3. EC2 instance using CloudFormation
4. Using CloudFormation to automate an architectural deployment
5. Creating an SNS topic, creating a subscription within the topic
6. Setting up SES and sending a mail
7. Creating an SQS queue and sending a sample message.

Module 08 - Access Management and Monitoring Services

8.1 Pre-IAM, why access management
8.2 Amazon Resource Name (ARN), IAM features
8.3 Multi-factor authentication (MFA) in IAM, JSON
8.4 IAM policies, IAM permissions, IAM roles, identity federation, pricing
8.5 Introduction to CloudWatch, metrics and namespaces, CloudWatch architecture, dashboards in CW, CloudWatch alarms, CloudWatch logs, pricing and design patterns
8.6 Introduction to CloudTrail, tracking API usage.

Hands-on Exercise –
1. Creating IAM users and a group
2. creating an IAM policy and attach it to the group
3. creating an IAM role
4. Setup MFA for a user
5. Creating a CloudWatch dashboard and add metrics
6. Create a CloudWatch alarm which triggers according to CPU Utilization of an EC2 instance
7. Creating a billing alarm
8. Creating a log group
9. Creating a trail.

Module 09 - Automation and Configuration management

9.1 What is AWS Lambda
9.2 How Lambda is different from EC2
9.3 Benefits and limitations of Lambda
9.4 How does Lambda work
9.5 Use cases of Lambda, Lambda concepts
9.6 Integration S3 with Lambda
9.7 What is Elastic Beanstalk, how does Beanstalk work, Beanstalk concepts, Beanstalk pricing
9.8 What is configuration management
9.9 What is AWS OpsWorks, AWS OpsWorks benefits
9.10 CloudFormation vs OpsWorks, services in OpsWorks, AWS OpsWorks Stacks, OpsWorks pricing.

Hands-on Exercise –
1. Creating a Lambda function
2. Setting up Lambda triggers and destinations
3. Creating an Elastic Beanstalk application
4. Uploading a new version of the application to Beanstalk
5. Creating a stack in OpsWorks
6. Launching the instance using OpsWorks and automatically installing the application.

Module 10 - Amazon FSx and Global Accelerator

10.1 What is FSx
10.2 Types of FSx,FSx for Windows server
10.3 How does FSx for Windows File Server work, FSx for Lustre
10.4 Use cases of FSx
10.5 Automatic failover process
10.6 Supported clients and access methods
10.7 What is a Global Accelerator, How Global Accelerator works, Listeners and Endpoints
10.8 What are AWS Organizations, Features of AWS Organizations, Managing multiple accounts
10.9 What are ENIs, ENAs and EFAs, Working with network interfaces
10.10 Enhanced Networking with ENA, EFA with MPI, Monitoring an EFA

Hands-on Exercise:
1. Creating a shared FSx file system between two windows instances
2. Accessing one instance with multiple Elastic IPS using ENI
3. Using Global Accelerator to map instances from 2 regions into one domain name
4. Enabling Enhanced Networking on an Ubuntu instance

Self Paced

Module 11 - Architecting AWS – whitepaper

11.1 Important guidelines for creating a well-architected AWS framework that is resilient and performant
11.2 Designing of fault-tolerant and high-availability architecture
11.3 Resilient storage
11.4 Decoupling mechanism
11.5 Multi-tier architecture solution
11.6 Disaster recovery solution
11.7 Scalable and elastic solutions.

Module 12 - DevOps on AWS

12.1 What is DevOps,
12.2 Introduction to AWS DevOps,
12.3 AWS Developer tools – CodeCommit, CodeBuild, CodeDeploy and CodePipeline, integrating GitHub with CodePipeline,
12.4 Creating a DevOps lifecycle using AWS DevOps tools.

Module 13 - AWS Migration

13.1 What is Cloud migration
13.2 Why migration is important
13.3 Migration process in AWS, the 6 R’s migration strategy
13.4 Virtual machine migration, migrating a local vm onto the AWS cloud
13.5 Migrating databases using Database Migration Service (DMS)
13.6 Migrating a local database to RDS
13.7 Migrating an on-premises database server to RDS using DMS, other migration services.

Module 14 - AWS Architect Interview Questions

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

AWS Projects Covered

Deploying a Multi-Tier Website on AWS

Using various AWS services such as EC2, ELB, Auto Scaling, VPC, etc. to create a highly available and reliable architecture to host a PHP website. Furthermore, use SNS for sending mails of all your websites operations on AWS and deploy the application in a private subnet & use ELB to expose it. Prevent the website from crashing by dynamically scaling your servers.

Deploying a Website for High Availability and High Resilience

An architecture which should be designed to be highly available. Based on the applications workload, the architecture should automatically scale its servers up and down. To balance the load across all these servers, using a ELB is must and also the architecture should be decoupled to connect an RDS database with an Elastic Beanstalk environment.

Sending Notifications to patients using push notifications

Design an architecture to send notifications to patients based on their doctors’ feedback. Using SNS for sending messages will increase the reliability and resilience. Integrate EC2 with the SNS topic for message storing and by using Public and Private subnets we will have to secure the EC2 instances.

Application to sort objects in an S3 bucket using Beanstalk and Lambda

Uploading an application which could upload objects to an S3 bucket to Elastic Beanstalk. Set up your Lambda functions trigger as Object creation in the S3 bucket to which the Beanstalk application uploads the objects to. Add your Lambda code which will segregate the uploaded objects into separate buckets according to the extension (e.g., .png, .pdf, etc).

Case Study 1 - 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.

Case Study 2 - 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.

Case Study 3 - 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.

Case Study 4 - 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.

Case Study 5 - 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.

Case Study 6 - 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.

Case Study 7 - 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.

Case Study 8 - 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.

Introduction to AWS SysOps

Overview of AWS cloud services, discussing about various Amazon AMIs, AWS Global Infrastructure which explains AWS availability regions, and the practical demonstration of launching an AWS EC2 instance

Hands-on Exercise: Account creation on AWS Management Console

Computing

Understanding Amazon Machine Image (AMI), various network interfaces, IP classification, Instance and types of Instances, and creating, managing, and troubleshooting Instances

Hands-on Exercise: Creating an EC2 instance on AWS Management Console and connecting to the system

Networking

Introduction to Virtual Private Cloud (VPC) and basics of cloud networking, VPC components, custom route tables, VPC peering, public and private subnets, configuring subnets, fundamentals of Network Address Translation (NAT), route tables, NAT high-availability design, NAT server and NAT Gateway

Hands-on Exercise: Creating a Virtual Private Cloud Ecosystem

Storage and Data Management in AWS

Overview of various storage services by AWS, storage limits, storage gateway and security, overview of Elastic Block Storage, Glacier overview, principles of Amazon S3, encryption and S3, S3 CORS, Snowball, and Storage troubleshooting

Hands-on Exercise: Uploading and downloading data from Amazon S3

Deployment and Provisioning

Auto scaling, version updates using auto scaling, load balancing with AWS, Classic Load Balancer, Application Load Balancer, and identifying and distinguishing high availability on AWS

Hands-on Exercise: Scale out and scale in the number of servers with Auto Scaling

Security and Compliance

Introduction to IAM, groups, user administration and permission, security of AWS account, MFA, security and logging, and policies within the shared responsibility model

Hands-on Exercise: Creating IAM users, role, group, and policies in AWS Management Console

Monitoring and Reporting

Introduction to cloud monitoring, concepts of CloudWatch, logging basics, tracking API usage and user action with AWS CloudTrail, and troubleshooting

Hands-on Exercise: Allowing CloudTrail Log into S3 bucket and working with CloudWatch logs

Configuration Management and Resource Consumption

Configuration management tools, how to reduce cloud cost, creating expenditure alert, monitoring and tagging with CloudWatch, automation and optimization using CloudFormation, AWS UserData, AWS OpsWorks, and CloudFormation: template structure, maintaining templates, parameters, mapping, Init, WaitCondition, outputs, errors, and troubleshooting

Hands-on Exercise: Working on CloudFormation templates

AWS Whitepapers

  • Architecting for the Cloud: AWS Best Practices
  • AWS Security Best Practices
  • Amazon Web Services: Overview of Security Processes
  • AWS Well-architected Framework
  • Development and Test on AWS
  • Backup and Recovery Approaches Using AWS
  • Amazon Virtual Private Cloud Connectivity Options
  • Blue/Green Deployments
  • How AWS Pricing Works

Introduction to Docker

  • Need for Containerization
  • Vm Vs Container
  • Why Docker?
  • Introduction to Docker
  • Docker Installation
  • Common Docker Operations
  • Saving Changes to Docker
  • Components of Docker Ecosystem
  • Docker Engine & Dockerfile
  • Docker Architecture 

Hands-on Exercise –

  • Common Docker Commands
  • Saving Changes to Docker & Pushing a container to DockerHUB
  • Creating an Image using Dockerfile

Storing Data in Docker

  • Why Do We Use Docker Storage?
  • Types of Docker Storage
  • Volumes
  • Volume Drivers
  • Backing Up and Restoring the Volume
  • Bind Mounts
  • Bind Propagation
  • Tmpfs Mounts
  • Storage Drivers

Hands-On-Exercise –

  • Working with Volumes
  • Volume Driver
  • Volume Backup & Restore
  • Bind Mount & tmpfs Mount Commands

Docker Compose

  • What Are Microservices?
  • What is Docker Compose?
  • Installing Docker Compose
  • What Are Yaml Files?
  • Creating Docker File Using Yaml
  • Versioning
  • Deploying Django Using Docker Compose
  • Cli Environment Variables
  • Environment File
  • Environment Variables in Compose
  • Commands for Docker Management
  • Linking Docker Containers
  • Extending Services in Compose
  • Networking in Compose
  • How to Use Compose in Production?

Hands-On-Exercise –

  • Deploying a Django Server using Docker Compose

Container Orchestration

  • What is Container Orchestration?
  • What is a Docker Swarm?
  • Building a Docker Swarm
  • Docker Swarm Services
  • Deployments in Swarms
  • Scaling a Service in Swarm
  • Rolling Updates in Swarm
  • Draining a Node in Swarm
  • Connecting to a Network in Swarm
  • Giving Storage Access in Swarm
  • Controlling Service Placement

Hands-On-Exercise –

  • Docker Swarm Common Commands
  • Docker Swarm Service Commands
  • Deploying to a Docker Swarm & Other Operations
  • Controlling Service placement

Networking in Docker

  • What is Docker Networking?
  • Types of Docker Networks
  • Bridge Network
  • Bridge Network Demo
  • Default Bridge Network
  • Overlay Network
  • Overlay Network Demo
  • Macvlan Network
  • Host and None Network

Hands-On-Exercise –

  • Bridge Network Commands
  • Bridge Network Demo
  • Overlay Network Commands
  • Overlay Network Demo
  • Host Network & None Network

Docker Monitoring

  • System D
  • Enabling Http/https Proxy
  • Prometheus and Grafana
  • Collecting Docker Metrics Demo
  • Ecr and Ecs
  • Ecr and Ecs Demo
  • Docker Best Practices

Hands-On-Exercise –

  • Docker Systemd – Enabling HTTP/HTTPS proxy
  • Docker Monitoring Using Prometheus & Grafana
  • Using ECR & ECS

Introduction to Kubernetes

  • Brief history of Deployment era
  • Features of Containers
  • Introduction to Kubernetes
  • Working of Kubernetes (overview)
  • Installation of Kubernetes

Hands on- Installing a 2-node Kubernetes Cluster

Kubernetes Architecture

  • Understand Kubernetes Architecture
  • What are Kubernetes objects?
  • What are YAML files?
  • Name, Namespaces, Labels & selectors , Annotations

Hands on – Creating and configuring YAML files, Understanding Namespaces

Introduction to Pods and Services

  • What are Pods?
  • What are Replication Controllers?
  • What is a Deployment?
  • Introduction to Kube Services and its types
  • Stateful and Demon sets
  • Jobs

Hands on – Creating Pods, Replication Controller, Deployments, Services and Jobs

What projects will I be working in this Docker Certification Training?

Project 1: Deploying a dynamic website using Docker and ECS

Problem Statement: Deploy the front-end, back-end, Database of a website using docker swarm and ECS

Topics: Dockerfile, Docker swarm, ECS cluster, ECR repository, Deployment, MySQL

Highlights
• Setting up the back-end in an ECS cluster
• Managing and initializing a docker swarm
• Setting up the front-end and the MySQL database in the docker swarm
• Integrating all the components of the website
• Containerizing the Website

Case Study 1: Creating custom containers

Problem Statement: Create a custom container from base Ubuntu container

Topics: Dockerfile, Dockerhub

Highlights
• Creating a Dockerfile
• Creating custom Docker images
• Deploying a static website
• Pushing container to Dockerhub

Case Study 2: Managing and improving storage access

Problem Statement: Give storage access to the containers and back them up

Topics: Docker Volumes, Volume Driver, bind mount, Backing Up data

Highlights
• Creating a single dedicated storage location for the containers
• Giving host storage access to a container
• Backing up the data stored in the containers

Case Study 3: Using docker swarm to deploy a WordPress site

Problem Statement: Deploy a WordPress site integrated with a Database using Docker compose

Topics: Docker-compose.yml, Docker Compose, Deploy, WordPress, Docker networking, Production modification

Highlights
• Creating a docker-compose.yml file
• Deploying the services
• Adding a user-defined network

Case Study 4: Deploying and performing operation on Docker swarm

Problem Statement: Deploy and manage a Redis server on a docker swarm

Topics: Docker swarm, replicas, Docker service, draining a Node, Scaling, rolling updates

Highlights:
• Deploying a Redis server as a service on docker swarm
• Performing rolling updates on the service
• Scaling up the service

Case Study 5: Setting up & managing three services

Problem Statement: Setup & manage three services and connect them using a Docker network

Topics: Docker Networking, Docker service, Docker Swarm

Highlights:
• Creating two services on two different nodes
• Connecting the two services using a Docker network
• Checking the communication between the 3rd service with rest two

Case Study 6: Monitoring Docker services

Problem Statement: Deploying and monitoring a WordPress website integrated with a Database

Topics: Docker swarm, Docker service, Monitoring, Prometheus, Grafana

Highlights:
• Initializing the Docker swarm and Deploying the WordPress website
• Setting Up and Deploying the Monitoring service
• Monitoring the deployed services

Introduction to Kubernetes

  • Brief history of Deployment era
  • Features of Containers
  • Introduction to Kubernetes
  • Working of Kubernetes (overview)
  • Installation of Kubernetes

Hands on- Installing a 2-node Kubernetes Cluster

Kubernetes Architecture

  • Understand Kubernetes Architecture
  • What are Kubernetes objects?
  • What are YAML files?
  • Name, Namespaces, Labels & selectors , Annotations

Hands on – Creating and configuring YAML files, Understanding Namespaces

Introduction to Pods and Services

  • What are Pods?
  • What are Replication Controllers?
  • What is a Deployment?
  • Introduction to Kube Services and its types
  • Stateful and Demon sets
  • Jobs

Hands on – Creating Pods, Replication Controller, Deployments, Services and Jobs

Introduction to Volumes

  • What are volumes?
  • Types of volumes
  • Persistent volumes
  • Introduction to secrets
  • Taints and tolerations

Hands on – Creating volumes, Creating Persistent Volumes, Creating and working with secrets, Taints and Tolerations

Ingress, Dashboard and Kubernetes best security practices

  • What is Ingress
  • What is a Kubernetes Dashboard?
  • Setting up Kubernetes Dashboard
  • Security practices for Kubernetes

Hands on – Creating ingress with name hosting, Setting up and working with Kubernetes Dashboards

Monitoring

  • Introduction to Federation
  • Kubernetes Monitoring
  • Setting up Prometheus
  • Setting up Grafana

Hands on – Controlling cluster from the outside,  Setting up and working with Prometheus, setting up and working with Grafana

What are the Case Study I will be working on during this Kubernetes certification training?

Case Study 1: Creating a custom YAML file.

Topics : YAML , replicas, selectors, labels

Highlights:

  • Creating a yaml file with nginx deployment specifics
  • Setting replicas

Case Study 2: Creating and accessing a webpage using Kubernetes Services

Topics : YAML , Replicas, Selectors, Labels, Pods, Services, Deployment

Highlights:

  • Creating a Externally reachable page
  • Using nodeport service
  • Creating a deployment
  • Creating a service

Case Study 3: Solving the issue of pods losing data on restarts

Topics : YAML , pods, deployment, volumes, persistent volume, secrets

Highlights:

  • Creating and passing secrets
  • Creating storage class
  • Creating persistent volume claim
  • Creating volume mounts

Case Study 4: Updating replicas using dashboard and creating ingress with name based hosting.

Topics : YAML , pods, deployment, services, ingress, dashboards

Highlights:

  • Creating an ingress
  • Setting up dashboard
  • Updating deployment details.

Case Study 5: Monitoring the clusters using Prometheus and grafana

Topics : YAML , pods, deployment, services, dashboards, Prometheus , grafana

Highlights:

  • Controlling cluster through an outside object
  • Creating deployments and dashboards
  • Configuring Prometheus and grafana

Introduction to Git

What is Git and what is version control system, what is the need for a version control system, various types of version control systems, what are the benefits of version control, importance of Git in version control, difference between Git and other version control systems, when to use Git and when not to use.

Architecture of Git

In-depth Git architecture, how to install, configure and setup Git on various operating systems, various configurations that are possible, how to create a GitHub account and the various options, what is Git file lifecycle, understanding Git repository, configuring Git repository with GitHub, basic Git commands, various Git command shortcuts.

Working with remote repositories

How to work with remote repositories, performing demonstration on remote repository, difference between local and remote repositories, working with remote repository, performing Git operations on remote repositories, configuring remote repository on GitHub, remote commands, pull and fork requests on GitHub, difference between downstream and upstream.

Branching and Merging

Working with branching and merging, various ways of merging the branches, performing Git operations, creating, checking out and deleting operations in Git, switching between branches and commits, what is two way and three way merge, various merging strategies, what are Git tags, what is merging and rebasing, how is merging and rebasing different, difference between a tag and a branch.

Git Methodology

What are the different workflows in Git, creating different types of Git workflow depending on the needs, benefits of Git workflow, what is a feature branch workflow, benefits of centralized workflow, forking workflow, using Git in real world projects.

Git plugin with IDE (Eclipse)

Installing Git plugin in Eclipse, installing Eclipse IDE and IntelliJ IDE, understanding IntelliJ IDE, Git commands with IDE, GitHub UI, configuring Git plugin, working with Git through IDE, working with Git workflow on Eclipse IDE.

Module 01 - Python Environment Setup and Essentials

1.1 Introduction to Python Language
1.2 Features, the advantages of Python over other programming languages
1.3 Python installation – Windows, Mac & Linux distribution for Anaconda Python
1.4 Deploying Python IDE
1.5 Basic Python commands, data types, variables, keywords and more

Hands-on Exercise – Installing Python Anaconda for the Windows, Linux and Mac.

Module 02 - Python language Basic Constructs

2.1 Built-in data types in Python
2.2 Learn  classes, modules, Str(String), Ellipsis Object, Null Object, Ellipsis, Debug
2.3 Basic operators, comparison, arithmetic, slicing and slice operator, logical, bitwise
2.4 Loop and control statements while, for, if, break, else, continue.

Hands-on Exercise –
1. Write your first Python program
2. Write a Python Function (with and without parameters)
3. Use Lambda expression
4. Write a class
5. Create a member function and a variable
6. create an object
7. Write a for loop

Module 03 - OOP concepts in Python

3.1 How to write OOP concepts program in Python
3.2 Connecting to a database
3.3 Classes and objects in Python
3.4 OOPs paradigm, important concepts in OOP like polymorphism, inheritance, encapsulation
3.5 Python functions, return types and parameters
3.6 Lambda expressions

Hands-on Exercise –
1. Creating an application which helps to check balance, deposit money and withdraw the money using the concepts of OOPS.

Module 04 - Database connection

4.1 Understanding the Database, need of database
4.2 Installing MySQL on windows
4.3 Understanding Database connection using Python.

Hands-on Exercise – Demo on Database Connection using python and pulling the data.

Module 05 - NumPy for mathematical computing

5.1 Introduction to arrays and matrices
5.2 Broadcasting of array math, indexing of array
5.3 Standard deviation, conditional probability, correlation and covariance.

Hands-on Exercise –
1. How to import NumPy module
2. Creating array using ND-array
3. Calculating standard deviation on array of numbers
4. Calculating correlation between two variables.

Module 06 - SciPy for scientific computing

6.1 Introduction to SciPy
6.2 Functions building on top of NumPy, cluster, linalg, signal, optimize, integrate, subpackages, SciPy with Bayes Theorem.

Hands-on Exercise –
1. Importing of SciPy
2. Applying the Bayes theorem on the given dataset.

Module 07 - Matplotlib for data visualization

7.1 How to plot graph and chart with Python
7.2 Various aspects of line, scatter, bar, histogram, 3D, the API of MatPlotLib, subplots.

Hands-on Exercise –
1. Deploying MatPlotLib for creating Pie, Scatter, Line, Histogram.

Module 08 - Pandas for data analysis and machine learning

8.1 Introduction to Python dataframes
8.2 Importing data from JSON, CSV, Excel, SQL database, NumPy array to dataframe
8.3 Various data operations like selecting, filtering, sorting, viewing, joining, combining

Hands-on Exercise –
1. Working on importing data from JSON files
2. Selecting record by a group
3. Applying filter on top, viewing records

Module 09 - Exception Handling

9.1 Introduction to Exception Handling
9.2 Scenarios in Exception Handling with its execution
9.3 Arithmetic exception
9.4 RAISE of Exception
9.5 What is Random List, running a Random list on Jupyter Notebook
9.6 Value Error in Exception Handling.

Hands-on Exercise –
1. Demo on Exception Handling with an Industry-based Use Case.

Module 10 - Multi Threading & Race Condition

10.1 Introduction to Thread, need of threads
10.2 What are thread functions
10.3 Performing various operations on thread like joining a thread, starting a thread, enumeration in a thread
10.4 Creating a Multithread, finishing the multithreads.
10.5 Understanding Race Condition, lock and Synchronization.

Hands-on Exercise –
1. Demo on Starting a Thread and a Multithread and then perform multiple operations on them.

Module 11 - Packages and Functions

11.1 Intro to modules in Python, need of modules
11.2 How to import modules in python
11.3 Locating a module, namespace and scoping
11.4 Arithmetic operations on Modules using a function
11.5 Intro to Search path, Global and local functions, filter functions
11.6 Python Packages, import in packages, various ways of accessing the packages
11.7 Decorators, Pointer assignments, and Xldr.

Hands-on Exercise –
1. Demo on Importing the modules and performing various operation on them using arithmetic functions
2. Importing various packages and accessing them and then performing different operations on them.

Module 12 - Web scraping with Python

12.1 Introduction to web scraping in Python
12.2 Installing of beautifulsoup
12.3 Installing Python parser lxml
12.4 Various web scraping libraries, beautifulsoup, Scrapy Python packages
12.5 Creating soup object with input HTML
12.6 Searching of tree, full or partial parsing, output print

Hands-on Exercise –
1. Installation of Beautiful soup and lxml Python parser
2. Making a soup object with input HTML file
3. Navigating using Py objects in soup tree.

Analyzing the Naming Pattern Using Python

In this Python project, you will work with the United States Social Security Administration (SSA) which has made data on the frequency of baby names from 1880 to 2016 available. The project requires analyzing the data considering different methods. You will visualize the most frequent names, determine the naming trends and come up with the most popular names for a certain year.

Performing Analysis on Customer Churn Dataset

Using the powers of data science and data visualization you will be performing analysis on the reliability of the employees of a telecom industry. This real time analysis of data will be done through multiple labels and the final outcomes will be reflected through multiple reports.

Python Web Scraping for Data Science

Through this project you will be introduced to the process of web scraping using Python. It involves installation of Beautiful Soup, web scraping libraries, working on common data and page format on the web, learning the important kinds of objects, Navigable String, deploying the searching tree, navigation options, parser, search tree, searching by CSS class, list, function and keyword argument.

Introduction to Linux

Introduction to Linux, Basics of Shell, Basics of Kernel, CentOS 8 installation and VBox additions, Basic Linux Commands, ECHO and EXPR command, Set and unset a variable, Header of a shell script (#!).

Hands-on Exercise – Executing basic Linux commands, Installing CentOS 8 on VirtualBox and adding guest additions to the installed OS.

File Management

Text editors and file creation; Users, Groups and Processes; Root and Linux file hierarchy, Understanding file hierarchy, Understanding file permissions, chmod and chown commands, the LS command, Metacharacters, Editing a file using VIM, Displaying contents of a file, Copy, Move and Remove files.

Hands-on Exercise – Using VIM, Creating users and groups, Creating files and directories, Assigning file permissions and ownership using chmod and chown, Editing files in VIM.

Files and Processes

Everything is a file in UNIX/Linux (files, directories, executables, processes), Process control commands (ps and kill), other process control tools (top, nice, renice).

Hands-on Exercise – Executing ps and kill commands on running services, Monitoring the OS using top.

Introduction to Shell Scripting

What is shell scripting, Types of shell, Creating and writing a shell script, Changing the permission of the shell script, Executing the script, Environment variables, Defining a local and a global variable, User input in a shell script.

Hands-on Exercise – Creating a shell script, Writing and executing the shell script, creating a local and a global variable, taking input from the user in a shell script.

Conditional, Looping statements and Functions

What are Conditional statements, Using IF, IF-ELSE, Nested IF statements, What are Looping statements, Using WHILE, UNTIL and FOR statements, Using the case…esac statement, What is a Function, Creating a function in Linux, Calling functions.

Hands-on Exercise – Executing IF, IF-ELSE, Nested IF statements, Executing WHILE, UNTIL and FOR statements, Executing the case…..esac statement, creating a function in multiple ways, calling a function in a file, calling a function from another file.

Text Processing

Using GREP command, Using SED command, Using AWK command, Mounting a file to the virtual box, Creating a shared folder (mounting a folder), Using SORT command and Using pipes to combine multiple Commands.

Hands-on Exercise – Executing commands using GREP, Executing commands using SED, Executing commands using AWK, Mounting a folder in the Windows OS to the Linux OS, Installing VirtualBox guest additions on CentOS 8, Extracting zipped files.

Scheduling Tasks

What are Daemons, Introduction to Task scheduling in Linux, Scheduling a job in Linux, What is Cron and Crontab, How to use cron, Using the AT command.

Hands-on Exercise – Starting, Stopping and Restarting Daemon processes, Scheduling jobs using cron and crontab, Scheduling a one time task using AT, Managing scheduled tasks using ATQ and ATRM.

Advanced Shell Scripting

Why monitoring, Introduction to process monitoring, Top vs HTop, What does PGREP do, Introduction to file and folder monitoring, Monitoring tool inotifywait, inotifywait options for folder monitoring, Events of a folder in inotify, the FREE command.

Hands-on Exercise – Using Top to moniter the OS, Installing Htop, Using Htop to monitor the OS, Filtering and sorting using Htop, Installing inotify tools, monitoring a folder using inotifywait, monitoring a folder only for certaing events, using the FREE command.

Database Connectivity

Installing and configuring MySQL, Securing MySQL, Running Queries from terminal, Running Queries from a shell script.

Hands-on Exercise – Downloading and installing MySQL, Connecting to MySQL from terminal, Querying directly from the terminal, Pushing the query result inside a file, CRUD operations from a shell script.

Linux Networking

What is networking in Linux, Why do we need networking, Using networking commands – IFCONFIG, PING, Wget and cURL, SSH, SCP and FTP, Learning Firewall tools – iptables and firewalld, DNS and Resolving IP address, /etc/hosts and /etc/hostname, nslookup and dig.

Hands-on Exercise – Executing all the networking commands, Using iptables and firewalld, Adding and removing ports, Resolving IP address in /etc/hosts, looking into a websites IP and nameservers using nslookup and dig.

What projects I will be working on this Linux Admin training?

Project: Installing WordPress on Centos7

Industry: Internet related

Problem Statement: How to install LAMP stack on Centos7 and creating a database for WordPress

Topics: In this project you will be working on creating your account on WordPress (with Database), then flush it using Flush Privileges and Install a PHP Module. We can get that package directly from CentOS’s default repositories using yumand also we will install and update the WordPress for the latest Template & Formats.

Highlight

  • Centos server installation
  • Creating a MySQL database
  • WordPress installation & configuration
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DevOps Architect Master’s Certification

This DevOps Architect training course is designed for clearing Intellipaat DevOps Architect Certification Exam. The entire course content is designed by industry professionals to get the best jobs in top MNCs. As part of this course, you will be working on real-time projects and assignments that have immense implications in the real-world industry scenarios, thus helping you fast-track your career effortlessly.

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

Our Alumni works at top 3000+ companies

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Course Advisor

Suresh Paritala

Suresh Paritala

Solutions Architect at Microsoft, USA

A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented high-impact.

David Callaghan

David Callaghan

Big Data Solutions Architect, USA

An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marquee brands around the world.

Samanth Reddy

Data Team Lead at Sony, USA

A renowned Data Scientist who has worked with Google and is currently working at ASCAP, Samanth Reddy has a proven ability to develop Data Science strategies that have a high impact on the revenues of various organizations. He comes with strong Data Science expertise and has created decisive Data Science strategies for Fortune 500 corporations.

Frequently Asked Questions

What Is Intellipaat’s Masters Course And How is it Different From Individual Courses?

Intellipaat’s Masters course is a structured learning path specially designed by industry experts which ensures that you transform into a DevOps expert. Individual courses at Intellipaat focus on one or two specializations. However, if you want to master DevOps then this program is for you.

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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