Home All Courses Cloud Computing AWS Development Certification Training

AWS Development Certification Training

Edureka's AWS Development Training is designed to help you pass the AWS Certified Developer – Associate Exam. You will gain expertise on mastering AWS services along with developing SaaS based applications and implementing concepts like cloud essentials, models, high availability, auto scaling, load balancing, redundant services.


Watch the demo class

Why this course ?

  • Public-cloud spending alone will grow to $522B in 2020 at a 19% CAGR, VC firm North Bridge
  • More than four-fifths of all data center traffic, 83 percent will be based in the cloud within the next three years - Cisco.
  • Average salary of AWS Developer is $103k - Indeed.com
  • 3K + satisfied learners. Reviews

Instructor-led live online classes

24

Jun
Sat - Sun ( 6 Weeks )
11:00 AM - 02:00 PM ( EDT )
15% Off
17995
15295

21

Jul
Fri - Sat ( 6 Weeks )
09:30 PM - 12:30 AM ( EDT )
15% Off
17995
15295

Edureka For Business

Train your employees with exclusive batches and offers and track your employee's progress with our weekly progress report.

Instructor-led Sessions

36 Hours of Online Live Instructor-Led Classes. Weekend Class : 12 sessions of 3 hours each.

Real-life Case Studies

Live project based on any of the selected use cases, involving implementation of the various AWS services.

Assignments

Each class will be followed by practical assignments which will aggregate to minimum 25 hours.

Lifetime Access

You get lifetime access to the Learning Management System (LMS). Class recordings and presentations can be viewed online from the LMS.

24 x 7 Expert Support

We have 24x7 online support team available to help you with any technical queries you may have during the course.

Certification

Towards the end of the course, you will be working on a project. Edureka certifies you as an AWS Developer based on the project.

Forum

We have a community forum for all our customers wherein you can enrich their learning through peer interaction and knowledge sharing.

Edureka's AWS Training, will introduce to the participants to explore and master AWS concepts and services offered by AWS. 

Participants will be offered guidance and will share lot of demo's on each topic with real time examples on high availability, load balancing , data redundancy and day to day operations in managing cloud services. Will also get to implement one project towards the end of the course.

After the completion of the AWS Cloud course at Edureka, you will be able to: 

a) Understand the cloud concepts

b) AWS services and operations

c) Create / configure each service

d) Real time scenarios on high availability / auto scaling 

e) Monitoring AWS services

f) Big data & Analytics

g) Automation's using Java SDK/ AWS CLI

h) Day to day cloud operations & maintenance of applications & services.

The course is designed for all those professionals who want to learn Cloud computing / Cloud automation / Devops / Developing SaaS based products and applications. This AWS training will be ideal for:

1. Developers who want to develop SaaS based products and applications

2. Developers who want to develop cloud automation products

3. Developers who want to analyse Big data and related ecospace products by using cloud services

4. System / Network Administrators who want to build or migrate the on-premise infrastructure to AWS cloud  

5. Solution Architects who want to build / migrate the data centers to cloud and build DR sites on cloud 

Anyone who has a good understanding of any one high-level programming language can join this training.
The system requirements include Minimum 4 GB RAM, i3 processor or above,20 GB HDD.

For executing the practicals you will be working on the cloud servers and various other services that Amazon provides. You will need to create an account on AWS which will give you access to all the AWS services. The step-wise guide for accessing these services will be available in the LMS and the team will help you with it.

  • Project 1: Load Balancer
  • Description: In this Project you will be performing the following tasks: Spin a ec2 instance (OS: Amazon Linux AMI 2015.09.1), Install binaries (Java 1.7 + Apache(HTTPD)), Install and configure Apache server, Create the image of the above setup and save the AMI for future reference. We will create a new instance using the above AMI, Create a load balancer and attach the above instances, Access the load balancer URL to test the application.
  • Project 2: Elastic Beanstalk
  • Description: In this Project, you will need to complete the following tasks: Create a web server and deploy a web application using Elastic Beanstalk, Configure Elastic Beanstalk, Enable Auto scaling, Enable Elastic Load balancer.

Learning Objectives - In this, you will understand overview of  cloud, types of cloud services, cloud models, features of cloud, different cloud vendors

Topics - Basic overview of the cloud, Different types of cloud models, Different types of cloud services, Different vendors of cloud implementation, Why to choose AWS?, Features of AWS and key offerings, Who is using AWS/customers, Real time Use-cases, Opportunities in Cloud / Market

Learning Objectives - In this module, you will understand the list of AWS services, overview on the each service and its usage along with examples/use cases.

Topics - AWS service catalogue, AWS Paradigm, AWS console, Overview of below services along with usage, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service, Application Service, Deploy & Management Service

Learning Objectives - In this module, you will learn about how to use AWS console and different options available for each service.

Topics - AWS console, Explain each service visually over the console, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service, Application Service, Deploy & Management Service

Learning Objectives -In this module, you will learn about installing and configuring the Java SDK kit and command line tool kit ( AWS CLI) and basic commands

Topics -   AWS Java SDK Kit, Step by step Java SDK installation, Configuration, Develop sample java program and access AWS resources, AWS CLI tool kit, Step by step Java SDK installation, Configuration, Develop sample java program and access AWS resources

Learning Objectives -  In this module, you will learn how to enable monitoring and configuring the cloud watch metrics 

Topics - Demonstrate ability to monitor availability and performance, Creating Cloud Watch Alarms, Installing And Configuring Monitoring Scripts for Amazon EC2 Instances, Elastic Compute Cloud (EC2) Instance and System Status Checks, Monitoring EBS For Performance And Availability, Monitoring RDS For Performance And Availability, Monitoring The Elastic Load Balancer For Performance And Availability, Demonstrate ability to monitor and manage billing and cost optimization processes, AWS Billing And Linking AWS Accounts, AWS Billing Dimensions and Metrics For Cloud Watch

Learning Objectives -  In this module, you will learn how to enable high availability and related concepts

Topics - Implement scalability and elasticity based on scenario, Scalability And Elasticity Essentials, Determining Reserved Instance Purchases Based Off Business Needs, Elastic Load Balancer, Autoscaling , What is autoscaling and where to use, how to configure autoscaling & autoscaling groups, Demo on scale up and scale down scenarios, Ensure level of fault tolerance based on business needs, High Availability by using Elastic IP Addresses, Understanding RDS Multi-AZ Failover

Learning Objectives - In this module, you will learn how to use storage services and enable fault tolerance to achieve 99.9 % data consistency and durability.

Topics - Different storage services, how to create and attach EBS volumes, EBS Root Devices On Terminated Instances - Ensuring Data Durability, What is Ephemeral storage? what is the usage? how create and attach s3 bucket,Demonstrate ability to create backups for different services ( EC2 & RD, how to create a customized AMI, How to take a snapshot and reuse the AMI, How to take a backup of the RDS instance, How to enable to auto snapshots for the RDS instance, Managing Backup And Disaster Recovery Processes, Quickly Recovering From Disasters ,Read Replicas With MySQL RDS Across Regions, Storing Log Files And Backups from glacier service.

Learning Objectives - In this module, you will learn how to enable security levels and different options available at network layer

Topics - Implement and manage security policies, S3 Bucket Policies, Building IAM Policies, Network Access Control Lists (NACLs), Using IAM Roles With EC2, Ensure data integrity and access controls when using the AWS platform, What is MFA On Amazon Web Services (Multifactor Authentication), What is Security Token Service, Demonstrate ability to prepare for security assessment use of AWS, Different AWS provided certificates & standards followed at AWS data centers , How to handle IT Audits, Demonstrate ability to implement networking features of AWS, Route53 and DNS Failover, VPC Essentials, Building A Non-Default VPC, VPC Networking, VPC Security, DB Subnet Groups, Elastic IP Addresses And Elastic Network Interfaces, Configuring A Web Application In VPC, Building A Virtual Private Cloud From Scratch – VPC, Troubleshooting Connectivity In Issues, Demonstrate ability to implement connectivity features of AWS, What is the AWS Direct Connect & On-premise To VPC Redundancy

Learning Objectives - In this module, you will learn how to automate deployment and provisioning using beanstalk and cloud formation services

Topics - Demonstrate the ability to provision cloud resources and manage implementation automation, Creating Our First Stack, Creating an Amazon Virtual Private Cloud with Cloud Formation And Launching An EC2 Instance

Learning Objectives - In this module, you will learn how to analyse the unstructured data using AWS EMR / DynamoDB(NoSQL)

Topics - What is the usage the EMR and big data concepts, How to launch and configure the EMR service, Run a sample MapReduce program to view the job details to analyse the Big data

Learning Objectives - In this module, you will learn what are cloud best practises at each layer

Topics -  Cloud Security Best Practices at each layer, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service,) Application Service, Deploy & Management Service

Learning Objectives - In this module, you will learn how to use the AWS services effectitively and reduce the cost at each layer

Topics -  Cost Optimisation at each layer, Compute Service, Storage Service, Database Service, Content Delivery Service, Network Service, Application Service, Deploy & Management Service

You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch.

edureka is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrollment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in a class.

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants.

You can give us a CALL at +91 90660 20866/1844 230 6365 (US Tollfree Number) OR email at sales@edureka.co

  • Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s AWS Development certificate.
  • edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc. Please be assured.