AWS Developer Associate Training in Nepal

The Amazon Web Services (AWS) Developer Associate course consists of total content and understanding of core services that are provided by AWS and which are needed to further enhance applications that are cloud-based. In this course, you will learn the development, debugging and deployment of aforementioned applications in a practical way. All the practical classes are preceded by theory classes.

AWS Developer Associate course also contains quizzes which are definitely capable of checking your knowledge. In the final phase of the course, you will be ready to take the AWD Developer Associate certificate. Even if you are a trainer, you will be able to assist and guide your students through the services associated with AWS and give them training.

The AWS Developer Associate course is for any individual who is IT-related and has basic to advanced knowledge of how the web applications work. Also, it is a course for those who would like to embark on an application building journey on the cloud.

Topics Covered in AWS Developer Associate

IAM For Authentication and Authorization of AWS resources
Application development to run on EC2
Storage and retrieval of assets in S3
CloudFront to serve assets in a CDN
CloudWatch and X-Ray for monitoring application performance
SNS to send notification
Kinesis and SQS for application messaging
AWS Lambda for serverless application
API development with API Gateway
Storage of data in DynamoDB and RDS
Route 53 for DNS management
Continuous Integration / Continuous Development
Infrastructure Design for AWS
Creation of resources with CloudFormation
Media services for streaming
Other popular AWS services

Benefits of AWS Developer Associate Training in Nepal

New course which results in greater career opportunities
Massive chances of working for bigger companies associated with AWS
Opportunity to stand out among a crowd, however big, of professionals
Chance to become one of the few AWS Certified people

Benefits of AWS Developer Associate at Broadway Infosys Nepal

Chance to learn from experts of AWS
Totally practical-oriented classes
Classrooms with each and every required materials present
Friendly environment to teach as well as learn

Pre-requisites for AWS Developer Associate Training

It is recommended that the learners of this course have the basic knowledge in web application development.

Courses Outline :- AWS Developer Associate Training

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Module 1: Introduction to Cloud Computing and AWS

Benefits of using AWS over a traditional data center.
AWS Global Infrastructure.
SaaS, PaaS and IaaS models
Virtualization

Module 2: Identity and Access Management (IAM)

Elements of IAM
Security Token Service
Web Identity Federation
Active Directory Federation
Key Management Service (KMS)
Cognito
Lab: Create an IAM role with S3 Full Access and DynamoDB Full Access.

Module 3: Elastic Compute Cloud (EC2)

Components of EC2
EC2 Pricing Options
EC2 Instance Types
AMI’s
Amazon Elastic Block Storage(EBS)
EBS Volume Types
Security Groups
Volumes and Snapshots
Elastic File System(EFS)
Auto Scaling
Load balancers
Placement Groups
EC2 API and Command Line
Lab: Create an EC2 instance, create an additional 10 GB General Purpose SSD Volume and attach it to the EC2 instance, create an Application Load Balancer and register the newly created EC2 instance.

Module 4: Amazon Simple Storage Service (S3)

Types of Storage
Components of S3
Data Consistency Model
S3 Storage Tiers
Security and Access Controls
Cross Origin Resource Sharing(CORS)
Versioning
Life Cycle Management
Cross Origin Replication
Transfer Acceleration
Encryption
Static Web Hosting
Events
Data Transfer
S3 API and Command Line
Lab 1: Create a S3 bucket and Put objects in S3-Infrequent access storage class.
Lab 2: Create a S3 bucket and upload a simple html file. Enable static web hosting and try to serve the html content with static web hosting.

Combined Lab of Module 2, 3 and 4

Lab: Create an EC2 instance. Attach the IAM role (created in Module 2) to newly created EC2 instance. Try to access the S3 bucket objects (Created in Module 4) by using S3 CLI commands from inside that EC2 instance.

Module 5: Other Storage Services

Amazon Glacier
Storage Gateway
Snowball Default Cache Behavior Default Cache Behavior
Snowball Edge
Snowmobile
Lab: Theoretical knowledge is sufficient in this module.

Module 6: Cloud front Distribution [1.5 hours]

Concepts on Content Delivery Network
Edge Locations and Caching
Distribution and Origins
Default Cache Behavior
Creating your own Cloud front Distribution
Lab: Create a web distribution with the origin of the S3 bucket (created in Lab 2 of Module 4). Enable Geo-Restriction by blacklisting

Module 7: Virtual Private Cloud (VPC)

Networks and Subnets
Overview of VPC
Route Tables
Internet Gateways
NAT Instances and NAT Gateway
Endpoints
Network Access Control Lists (NACL)
VPN Connections
VPC Peering
Lab 1: Create a VPC by including such CIDR range which supports exactly 2048 network IP address. Create one public subnet and one private subnet.
Lab 2: Create a VPC with public and private subnet. Separate them with Internet Gateway and NAT Gateway. Create EC2 Web Servers and Database Servers. Make such configuration, so that EC2 web servers will be inside public subnet and Database servers will be inside private subnet.

Module 8: Cloud Watch

Module 9: Simple Notification Service (SNS)

Components of SNS
Platform Applications
Concepts on Fanning Out
SNS API and Command line

Combined Lab of Module 8 & 9

Create a Cloudwatch Alarm for an EC2 instance created in Module 2. Create an SNS topic and subscribe your email address. Now, Configure the Cloudwatch Alarm to send an email alert when the CPU utilization is 70% or above.

Module 10: Amazon Simple Queue Service (SQS)

Concepts on Decoupled Applications
Components of SQS
Queue Attributes
Concepts on Long Polling and Short Polling
Encryption
Dead Letter Queue
SQS API and Command Line

Combined Lab of Module 9 & 10

Create a SQS standard queue. Create a SNS topic. Configure the SQS and SNS so that any messages published to SNS will automatically be added to SQS queue.

Module 11: AWS Lambda

Serverless and Micro services concepts
AWS SDK on any programming Language Supported
Lambda Functions Deployment
Lambda Triggers and Event Source Mapping
Environment Variables
Debugging with Cloud watch Logs
Monitoring with Cloud watch Metrics
Step function, X - Ray
Lab: Write a lambda function to create an S3 bucket in Current region and add a text file from lambda function in that bucket.

Module 12: API Gateway

Module 13: DynamoDB

Concepts on NoSQL
Components of DynamoDB
Eventual and Strongly Consistent Reads
Primary Keys and Disk Partition patterns
Indexes
DynamoDB Streams
Provisioned Throughput and its calculations
Backups and Auto Scaling
DynamoDB Metrics
DynamoDB API and Command Line

Combined Lab of Module 11, 12 & 13

Create a 3 tier web application using S3 for static hosting, DynamoDB for database storage, Lambda for data processing and API Gateway.

Module 14: Amazon Relational Database Service (RDS)

Module 15: DNS and Route53

Concepts on DNS
Components of Route53
Routing Policies
Alias records
Lab: Go to http://www.dot.tk/ and create a new domain of your choice. Create a new hosted zone in Route53 and point it to the Cloudfront Distribution created in Module 6. When you hit your domain in the browser, it should open the your site created in s3.