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Complete Amazon Web Services Bundle 2018

Course

COMPLETE AMAZON WEB SERVICES BUNDLE 2018

Category

AWS Software Training

Eligibility

Working Professionals and Freshers

Mode

Regular Offline and Online Live Training

Batches

Week Days and Week Ends

Duration :

Daily 2 hrs during Weekdays

AWS What will you learn?

•Build and deploy web applications AWS.
•Explore how to use existing features in AWS.Learn to code with AWS the easy way.
•Learn how to handle errors and exceptions in AWS.
•You will understand how to implement a AWS job.
•You can learn AWS to code like a pro!
•Components states props how to pass variables between components in AWS.
•Create Apps using AWS From Scratch and scale it up to any level
•Learn AWS from basic to advanced with examples and interactive sessions at peak.

complete amazon web services bundle 2018 Training Features

•Additional Sessions for Doubt Clearing
• First step to landing an entry-level job
•Learn Core concepts from Leading Instructors
•Best Opportunity To Both Learn And Work From Home
•Indutry oriented training with corporate casestudies
•Courseware that is curated to meet the global requirements
•Curriculum based on course outlines defined by in-demand skills in Python.
•Very in depth course material with Real Time Scenarios for each topic with its Solutions for Online Trainings.

Who are eligible for AWS

•.Net Developer, SilverLight, MVC3, Entity Framework 4, WCF, SQL/PLSQL, c#, SQL Server 2008, HTML5, .Net
•Java Developer, .net c#.net asp.net vb.net sqlserver, oracle, mainframe cobol cics db2 jcl, banking financial services, telecom, ccna ccnp networking mcse, W2
•java, .net, php, Software Testing, Automation Testing, oracle, sap, msbi, tableau, networking, Linux Administration, storage, full stack developer, devops
•php, wordpress, drupal, Iphone Developer, Android, Java, Team Management, Android Developer, Mobile Application Development
•Software Developer, IBM MDM, QA, Business Anlaysit, Business Analyst, Software Engineer, Java, Informatica, DataStage, Project Mangement

COMPLETE AMAZON WEB SERVICES BUNDLE 2018 Topics

AWS Introduction
•Create an account
•Launch a Virtual Machine
•Register a Domain
•Create Backend for Mobile App
•Connect an IoT device
•Build using Virtual Server
•Start Development Project
•Deploy Serverless Microservice
•Build a Web app
•AWS Services
•AWS EC2
•AWS VPC
•VPC
•AWS EC2 container
•AWS Beanstalk
•PRACTICAL- Beanstalk
•AWS Lambda
•AWS Lightsail
•Aws Analytics EMR
•Aws Analytics Kinesis
•PRACTICAL- EKS
•PRACTICAL- ECS
•PRACTICAL- Batch
•Aws Database intro
•Aws Database DynamoDB
•Aws Database Elasticache
•Aws Database RDS
•Aws Database Redshift
•Aws Storage EBS
•Aws Storage EFS
•Aws Storage Gateway
•Aws Storage Glacier
•Aws Storage S3
•Understanding Lambda functions
•AWS CLI- Part-1
•AWS CLI- Part-2
•How lambda works internally
•Handler Function
•Event Object
•Context Object
•Callback object
•Working with Logs
•Creating Lambda function with ZIP files
•Creating a Lambda function
•Connecting with API Gateway as Trigger
•Passing Information through API Gateway
•Writing data to DynamoDB
•Reading data from DynamoDB
•Cognito Mobile
•What is Amazon Cognito?
•Cognito In-depth
•Cognito- Practical
•Mobile Hub {theory}
•Mobile Hub {demo}
•AppSync {theory}
•Mobile AppSync {demo}
•DeviceFarm {theory}
•Mobile DeviceFarm {demo}
•Mobile Analytics {therory}
•Mobile Analytics {demo}
•AWS Developer tools
•cloud9
•codeBuild
•CodeCommit
•CodePipeline
•codeStar
•Machine Learning with AWS
•Amazon Comprehend
•Practical:Amazon Comprehend
•(PythonBoto3)Comprehend 1
•(PythonBoto3)Comprehend 2
•(PythonBoto3)Comprehend 3
•Amazon Lex and Amazon Polly
•Amazon Lex
•Amazon Lex(2)
•Practical:Chatbot using Amazon Lex
•Amazon Polly
•Practical:Amazon Polly
•(PythonBoto3)Polly
•Amazon Rekognition
•Object and scene detection(Overview)
•Object and scene detection(Practical)
•(PythonBoto3)Detect Label
•Facial analysis(Overview)
•Facial analysis(Practical)
•(PythonBoto3)Detect Face
•Celebrity recognition(Overview)
•Celebrity recognition(Practical)
•(PythonBoto3)Celebrity Recognition
•Face comparison(Overview)
•Face comparison(Practical)
•(PythonBoto3)Face Comparison
•Text in image(Overview)
•Text in image(Practical)
•(PythonBoto3)Detect Text in Image
•Visual Analysis
•Amazon Transcribe and Translate
•Amazon Transcribe
•Amazon Translate
•Practical:Amazon Transcribe
•Practical:Amazon Translate
•(PythonBoto3)Translate
•(PythonBoto3)Transcribe
•Amazon SageMaker and AWS DeepLens
•Amazon SageMaker
•AWS DeepLens
•Machine Learning(Using Amazon ML to Predict Responses to a Marketing Offer
•ML 1 -Prepare Your Data
•ML 2-Create a Training Datasource
•ML 3-Create an ML Model
•ML 4-Use the ML Model to Generate Predictions
•ML 5-Clean Up
•Game, AR and VR Development
•GameLift
•PRA- Gamelift
•Sumerian
•PRA- Sumerian
•Cloud Migration
•Migration Hub
•Migration Hub- PRACTICAL
•Snowball
•Snowball- PRACTICAL
•Application Integration
•Amazon MQ
•PRACTICAL- Amazon MQ
•SNS
•PRACTICAL- SNS
•SQS
•PRACTICAL- SQS
•Step Functions
•PRACTICAL- Step functions
•SWS
•PRACTICAL- SWS
•Analytics
•Athena
•Project Athena
•CloudSearch
•Practical:CloudSearch
•ElasticSearch
•Quicksight
•Kinesis
•Practical:Kinesis
•Practical:Kinesis(python boto3)
•PRA- Appstream
•PRA- Workspaces
•Identity and Security
•Artifact
•PRACTICAL- Artifact
•Certificate Manager
•PRACTICAL- Certificate Manager
•CloudHSM
•PRACTICAL- Cloud HSM
•Directory Service
•PRACTICAL- Directory Service
•GuardDuty
•PRACTICAL- GuardDuty
•Inspector
•PRACTICAL- Inspector
•Secrets Manager
•PRACTICAL- Secrets Manager
•Single Sign on
•PRACTICAL- Single Sign-On
•WAF & Shield
•PRACTICAL- WAF and Shield
•Cost Management