AWS

AWS TRAINING IN KPHB. Kukatpally, Hyderabad

AWS Training in KPHB 

 

AWS Training in Hyderabad

AWS Training in KPHB provides course on Amazon Web Services. It has started in the year 2006 for offering best IT Infrastructure services to the clients. All the services are providing in the form of web services that is called as cloud computing. It enhances the business performance with low variable costs. It delivers the results in the fast methods.

Amazon Web Services Training in Hyderabad

Amazon Web Services Training in Hyderabad is provided in a comprehensive and reliable way to students. This course is mainly introduced to make the candidates to deploy highly scalable applications on platform of AWS.  Placement Oriented Training is provided to the students to acquire best job opportunity in the most reputed companies. This course is completely amazon.com which is under cloud computing platform. We give the extensive AWS Training in Hyderabad to improve subject knowledge skills of the students.

Algorithm Class is one of the best  AWS Online Training institutes in Hyderabad.

Algorithm Training Institute is one of the Best AWS Training Institutes in Hyderabad, As the trainers are highly qualified with 15+ years of real-time IT experience. The AWS Cloud Computing Training in Hyderabad consists of more programming rather than theory. 

AWS Training in Hyderabad at Algorithm Class Training Institute covers topics from beginner level to advanced level. It is one of the Best AWS Training Institutes in Hyderabad.

Finally, by the end of AWS Cloud Computing Course in Hyderabad, you can be confident with Cloud Computing Technology. Due to our trainers, practical sessions, and 1-1 care we are better than other Cloud Computing Training in Hyderabad Gachibowli, AWS Training in KPHB, AWS Training Institutes in Hderabad KPHB, AWS Training in Kukatpally, AWS Training Institutes in Ameerpet, AWS Training Institutes in Hyderabad

 

Duration: 45hrs

Fee: Rs 12000 (class room)              Rs 14000 (online)    400 USD (online, USA)

Mode : Online  and Class Room

 

AWS  Training in KPHB, Kukatpally Course Content:

 

S.NO Topic Sub Topic
1.

Introduction to Cloud Computing

 
  • Introduction to cloud computing world
  •  History
  •  Cloud business models
  •  Public, Private and Hybrid cloud models
  •  Advantages of cloud computing
2.

Overview

 
  • AWS Regions and Availability zones.
  •  Tools to access services.
  •  Overview of the console.
3.

AWS ec2(elastic compute cloud)

 
  • Introduction to EC2.
  •  Pricing models On-demand vs Reserved vs Spot instances.
  •  Using Amazon Machine Images (AMIs) to create the instances.
  •  Public vs Private Images.
  •  Sharing Images to other accounts.
  •  Logging into instances using key pairs.
  •  Converting pem files to ppk.
  •  Volumes and types.
  •  Using snapshots for backup.
  •  Increasing the size of the volumes.
  •  Backup and restore process of the EC2 instances.
  •  Adding network interfaces.
  •  Assigning static IPs using Elastic IPs.
  •  Control access to instances using Security Groups.
 
4.

Elastic Load Balancer

  •  Introduction to Elastic Load Balancing.
  •  Creating ELB from Console.
  •  Attaching instances to ELB.
  •  Configuring Ports, Protocols and health checks.
  •  Enabling sticky session.
  •  Connection draining.
  •  Enabling SSL Certificates for https transactions.
5.

Cloud Watch

  •  Introduction to CloudWatch monitoring service.
  •  Monitoring CPU, Memory and network utilization of different resources.
  •  Creating notifications.
6.

Simple Notification Services

  • Introduction to SNS.
  •  Subscribing to receive notifications.
  •  Sending alerts using SNS.
7.

Relational Database Service

  • Introduction to Managed database.
  •  Creating RDS instances using AWS console.
  •  Choosing an RDS engine and version.
  •  Public vs Private database instances.
  •  Multi-AZ setup.
  •  Backup using snapshots and point in restore.
  •  Parameter Group.
  •  Options Group.
  •  Control access to instances using Security Groups.
8.

Auto scaling

  • Overview.
  •  Creating launch configuration.
  •  Creating auto-scaling group.
  •  Auto-scaling policies.
9.

AWS s3(simple storage service)

  •  Introduction to Simple Storage Server (S3).
  •  Storage options (default vs reduced redundancy vs Glacier).
  •  Creating buckets using Console.
  •  Uploading and downloading data to S3.
  •  Building static websites using S3.
  •  Enable version control on S3.
  •  S3 access policies.
10.

Storage(Glacier)

  • Introduction to Glacier.
  •  Moving data from S3 to Glacier.
  •  Setting archiving policies on S3.
 11

AWS Cloud Front (Content Delivery Network Service)

  • Introduction to CloudFront.
  •  Configure S3 backend for CloudFront.
  •  Configure ELB backend from CloudFront.
 12

Simple Email Services(SES)

 Introduction to SES
 13

Identity Access Management (IAM)

  • Introduction to IAM.
  •  Access controls using IAM.
  •  Creating users, groups and roles.
  •  Assigning policies.
  •  Inline vs Managed policies.
 14

Virtual Private Cloud (VPC)

 
 
  • Introduction.
  •  Choosing a network design and CIDR.
  •  Design a simple network.
  •  Creating Subnets and setup routing as per the design.
  •  Using IGW to enable internet access.
  •  Access controls using Network ACLs. Network ACLs vs Security Groups.
  •  Creating Private connections from data center to AWS.
  •  Enabling VPC peering between VPCs.
 15.

Cloud Formation

  • Introduction.
  •  Understanding the template format.
  •  Cloudformation designer.
  •  Create a simple cloudformation template.
  •  Managing dependencies.
  •  Updating the existing stacks.
  •  Intrinsic functions.
  •  Pseudo parameters.
  •  Updating cloudformation stacks.
  •  Understanding event.
  •  Cloudformer
 16.

Using CLI

 
  • Installing AWSCLI .
  •   Installing CLI tools using rpm or pip.
  •  Configuring credentials.
  •  AWS CLI syntax.
  •  Creating and managing resource using CLI.
 17.

Best Practices

 
  • Cloud Optimization.
  •  Cloud migration.
  •  Using 3rd party tools for health and billing monitoring.