Demos On 19th/20th May
PIMPLE SAUDAGAR :    Amazon Web Services (10:30 AM Sunday) |   Amazon Web Services(11:00 AM)   |   Hadoop (11:00 AM)   |   Python (11:00 AM)   |   API Testing(11:00 AM)    |   Selenium (12:00 AM)   |   SAP FICO (1:00 PM)   |   Loadrunner[New] (3:00 PM Sunday)   |   Angular JS (3:00 PM Sunday)   |   Data Science (5:00 PM) |   DevOps (5:00 PM Sunday) |   SAP MM (5:30 PM) | DECCAN :    Java - Selenium (9:00 AM)   |   Amazon Web Services (11:00 AM)   |   Python (11:30 AM)   |   SAP MM(5:00 PM Sunday)    |  DevOPs(4:00 PM)   
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AWS - Amazon Web Services - Architect

Overview

AWS - Amazon Web Services - Architect provides on-demand computing resources and services in the cloud, with pay-as-you-go pricing. For example, you can run a server on AWS that you can log on to, configure, secure, and run just as you would a server that is sitting in front of you. Using AWS resources instead of your own is like purchasing electricity from a power company instead of running your own generator, and it provides many of the same benefits: capacity exactly matches your need, you pay only for what you use, economies of scale result in lower costs, and the service is provided by a vendor experienced in running large-scale networks.

Duration : 5-6 Weeks

Prerequisites : Working knowledge of IT security practices Working knowledge of IT infrastructure concepts. Familiarity with cloud computing concepts.

Training Highlights : All our trainers have extensive experience in IT Industry and have years of experience in teaching. You will get assistance in resume making and interview preparation

Course Syllabus

AWS - Amazon Web Services - Architect
  1. Linux Basics
    • Intro to Linux
    • Basic Commands
    • Network Configuration
    • Software Management
    • User and Group management.
  2. Storage Basics
    • Filesystem usage.
    • Mount Options.
    • Checking free space.
    • Giving permissions.
  1. Introduction to Cloud & AWS
    • Defining cloud computing.
    • Cloud computing Infrastructure.
    • The requirements that need to be fulfilled to qualify as a cloud service.
    • Cloud service and deployment models.
    • Common misconceptions about cloud computing.
    • Common cloud Implementations.
    • Architecture discussion
    • Lab preparation
    • Overview of major AWS services
    • Get to know different AWS services and their Usage
    • Benefits of studying AWS
  2. Amazon Elastic Compute Cloud (EC2)
    • Defining EC2 Instances
    • Different type of Images (AMI)
    • Create Linux EC2 instances
    • Create Windows EC2 instance
    • Connecting to EC2 instances
    • Lab AMI creation
    • Volumes (EBS)
    • Lab volume creation
    • Setting up a volume once attached to Ec2
    • Hands on snapshot creation
    • Lab security Groups
    • Key Pairs
    • Elastic Load Balancing
    • Hands on Elastic load balancing
    • Launch configuration
    • Auto scaling concepts
    • Lab Auto scaling
    • Lab ELB
    • Lab creation of billing alerts
    • Lab Cloud Watch
    • Hands on setting up for NodeJs development
  3. Identity And Access Management Techniques (IAM)
    • Understand Users, Groups and Roles
    • Policies and Policy documents
    • Lab creating roles,user and groups
    • Access control
    • Policy management
    • Hands on assigning policies to users, groups and roles
    • Restricting different services for users.
  4. S3
    • S3 buckets and its usage
    • Lab creating a S3 Bucket
    • Lab upload and retrieve data from S3 bucket.
    • Giving privileges on to S3 bucket.
    • Hands on S3 policies and ACLs
    • Lab Life Cycle Management
    • Lab object expiration in S3
    • Lab S3 Versioning
    • S3-RRS, S3-IA and Glacier
    • CORS
    • Lab hosting a website on S3
  5. SNS, SWF and SQS
    • Working with simple notification system.
    • Understanding queuing service.
    • SNS and SQS real-time use case
    • Introduction to SWF and use case
    • Lab on SNS
    • Programming Amazon SQS and SNS using the AWS NodeJS SDK
    • Custom VPC and default VPC concepts
    • CIDR notation
    • Subnets and routing concepts
    • Different methods to connect to custom VPC
    • Lab to create Subnets, ACLs, Routing rules.
    • Lab to create security groups at instance.
    • Lab creating a notification subscription.
    • Lab creating a VPC.
    • Lab setting up public and private subnets
    • Lab setting up Internet/Nat gateway
    • Securing your network.
    • Network ACLs
  6. AWS Databases RDS and Dynamodb
    • AWS Database services overview – RDS, DynamoDB, Elasticache, Redshift
    • Lab creating RDS instances
    • Read Replicas
    • RDS scaling concepts
    • RDS postgres sql server
    • RDS Oracle Server
    • Lab Migrating from Oracle to Aurora using Database migration Service
    • Lab configuring Multi-AZ failover
    • Lab accessing a database hosted on RDS
    • DynamoDb Core knowledge
    • Scaling with Dynamodb
    • DynamoDb write and read unit calculation
    • DynamoDb with NodeJS
    • Elasticache concepts
  7. Application Services
    • R53 and DNS
    • Domain registration
    • R53 routing policies
    • Lab on routing policy setup
    • Routing policies in detail
    • AWS CloudFront
    • AWS Cloud Formation
    • Deployment Using Cloud Formation
    • OPS works
    • Lab OPS works
    • Cloud Trail
    • Direct Connect

Project: Work

  1. Project: Work
    • Hands-on workshop/Project: Deploying a web-application using AWS services
    • Deploy a PHP application to access/create/upload files on S3 through EC2
    • Deploy PHP application to create tables, insert values in DynamoDb through EC2
    • Lab on Kinesis, through cloud formation
    • Programming Amazon SQS and SNS using the AWS NodeJS SDK
    • Lambda with NodeJS
    • Lab setting up Dynamodb with Nodejs
    • Elasticache with Nodejs
  2. Big Data Solutions
    • Data warehousing in AWS
    • Big data solutions in AWS
  3. Bonus Brief Introduction to Docker
    • What are containers and images
    • Introduction to Dockers
    • Architecture of Docker
    • Lab working with Dockers

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