AWS Developer Certification Training

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 practices 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 effectively and reduce the cost at each layer

Topics -  

• Cost Optimization at each layer
• Compute Service
• Storage Service
• Database Service
• Content Delivery Service
• Network Service
• Application Service
• Deploy & Management Service

Anyone who has a good understanding of any one high-level programming language can join this training.

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

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 the following:

The system requirements include Minimum 4 GB RAM, Core 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. In case of any doubts, you can reach out to our 24x7 support team.

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.