Developing on AWS

Learn how to develop secure and scalable cloud applications

This course will help you learn how to use AWS services and developer tools, such as the AWS SDK and AWS CLI to develop secure and scalable cloud applications from an expert AWS instructor. You will explore how to interact with AWS using code and discuss key concepts, best practices, and troubleshooting tips. In this 3-day, classroom training course you will learn how to programmatically interact with AWS services to build web solutions.

Course Description:

AWS Technical Essentials introduces you to essential AWS services and common solutions. The course covers the fundamental AWS concepts related to compute, database, storage, networking, monitoring, and security. You will start working in AWS through hands-on course experiences. The course covers the concepts necessary to increase your understanding of AWS services, so that you can make informed decisions about solutions that meet business requirements. Throughout the course, you will gain information on how to build, compare, and apply highly available, fault tolerant, scalable, and cost-effective cloud solutions.

Course objectives

In this course, you will learn to:

Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs.
Configure AWS Identity and Access Management (IAM) permissions to support a development environment.
Use multiple programming patterns in your applications to access AWS services.
Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources.
Build AWS Lambda functions with other service integrations for your web applications.
Understand the benefits of microservices architectures and serverless applications to design.
Develop API Gateway components and integrate with other AWS services.
Explain how Amazon Cognito controls user access to AWS resources.
Build a web application using Cognito to provide and control user access.
Use DevOps methodology to reduce the risks associated with traditional application releases and identify AWS services that help in implementing DevOps practices.
Use AWS Serverless Application Model (AWS SAM) to deploy an application.
Observe your application build using Amazon X-Ray.

Course Duration:

3 Day Hands-on Training with AWS Labs

Training Delivery:

Instructor-Led Online Live / Virtual Training

Training Schedule:

Monday, 30th January, 2023 to Wednesday, 1st February, 2023

Minimum Batch Size:

Faculty:

Course shall be delivered directly by AWS with their AWS Authorised Instructors.

What you'll learn

Build a simple end-to-end cloud application using AWS Software Development Kits (AWS SDKs), Command Line Interface (AWS CLI), and IDEs
Configure AWS Identity and Access Management (IAM) permissions to support a development environment
Use multiple programming patterns in your applications to access AWS services
Use AWS SDKs to perform CRUD (create, read, update, delete) operations on Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB resources
And much more

Who should take this course

Software developers
Solution architects
IT professionals who want to improve their developing skills using AWS Services

What experience you'll need

Attended AWS Technical Essentials classroom training or have equivalent experience
Working knowledge of AWS core services
Programming experience in any one of the following languages:

Python
.NET
Java

Course Outline

Day 1

Module 1: Course Overview

Logistics
Student resources
Agenda
Introductions

Module 2: Building a Web Application on AWS

Discuss the architecture of the application you are going to build during this course
Explore the AWS services needed to build your web application
Discover how to store, manage, and host your web application

Module 3: Getting Started with Development on AWS

Describe how to access AWS services programmatically
List some programmatic patterns and how they provide efficiencies within AWS SDKs and AWS CLI
Explain the value of AWS Cloud9

Module 4: Getting Started with Permissions

Review AWS Identity and Access Management (IAM) features and components permissions to support a development environment
Demonstrate how to test AWS IAM permissions
Configure your IDEs and SDKs to support a development environment
Demonstrate accessing AWS services using SDKs and AWS Cloud9

Lab 1: Configure the Developer Environment

Connect to a developer environment
Verify that the IDE and the AWS CLI are installed and configured to use the application profile
Verify that the necessary permissions have been granted to run AWS CLI commands
Assign an AWS IAM policy to a role to delete an Amazon S3 bucket

Module 5: Getting Started with Storage

Describe the basic concepts of Amazon S3
List the options for securing data using Amazon S3
Define SDK dependencies for your code
Explain how to connect to the Amazon S3 service
Choose the right AWS database service

Module 6: Processing Your Storage Operations

Perform key bucket and object operations
Explain how to handle multiple and large objects
Create and configure an Amazon S3 bucket to host a static website
Grant temporary access to your objects
Demonstrate performing Amazon S3 operations using SDKs

Lab 2: Develop Solutions Using Amazon S3

Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI
Create a bucket using waiters and verify service exceptions codes
Build the needed requests to upload an Amazon S3 object with metadata attached
Build requests to download an object from the bucket, process data, and upload the object back to the bucket
Configure a bucket to host the website and sync the source files using the AWS CLI
Add IAM bucket policies to access the S3 website.

Day 2

Module 7: Getting Started with Databases

Describe the key components of DynamoDB
Explain how to connect to DynamoDB
Describe how to build a request object
Explain how to read a response object
List the most common troubleshooting exceptions

Module 8: Processing Your Database Operations

Develop programs to interact with DynamoDB using AWS SDKs
Perform CRUD operations to access tables, indexes, and data
Describe developer best practices when accessing DynamoDB
Review caching options for DynamoDB to improve performance
Perform DynamoDB operations using SDK

Lab 3: Develop Solutions Using Amazon DynamoDB

Interact with Amazon DynamoDB programmatically using low-level, document, and highlevel APIs in your programs
Retrieve items from a table using key attributes, filters, expressions, and paginations
Load a table by reading JSON objects from a file
Search items from a table based on key attributes, filters, expressions, and paginations
Update items by adding new attributes and changing data conditionally
Access DynamoDB data using PartiQL and object-persistence models where applicable

Module 9: Processing Your Application Logic

Develop a Lambda function using SDKs
Configure triggers and permissions for Lambda functions
Test, deploy, and monitor Lambda functions

Lab 4: Develop Solutions Using AWS Lambda Functions

Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS CLI
Configure AWS Lambda functions to use the environment variables and to integrate with other services
Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket objects
Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed
Invoke AWS Lambda functions using the AWS Console and AWS CLI

Module 10: Managing the APIs

Describe the key components of API Gateway
Develop API Gateway resources to integrate with AWS services
Configure API request and response calls for your application endpoints
Test API resources and deploy your application API endpoint
Demonstrate creating API Gateway resources to interact with your application APIs

Lab 5: Develop Solutions Using Amazon API Gateway

Create RESTful API Gateway resources and configure CORS for your application
Integrate API methods with AWS Lambda functions to process application data
Configure mapping templates to transform the pass-through data during method integration
Create a request model for API methods to ensure that the pass-through data format complies with application rules
Deploy the API Gateway to a stage and validate the results using the API endpoint

Day 3

Module 11: Building a Modern Application

Describe the challenges with traditional architectures
Describe the microservice architecture and benefits
Explain various approaches for designing microservice applications
Explain steps involved in decoupling monolithic applications
Demonstrate the orchestration of Lambda Functions using AWS Step Functions

Module 12: Granting Access to Your Application Users

Analyze the evolution of security protocols
Explore the authentication process using Amazon Cognito
Manage user access and authorize serverless APIs
Observe best practices for implementing Amazon Cognito
Demonstrate the integration of Amazon Cognito and review JWT tokens

Lab 6: Capstone – Complete the Application Builds

Create a Userpool and an Application Client for your web application using
Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
Configure API Gateway methods to use Amazon Cognito as an authorizer
Verify JWT authentication tokens are generated during API Gateway calls
Develop API Gateway resources rapidly using a Swagger importing strategy
Set up your web application frontend to use Amazon Cognito and API Gateway configurations and verify the entire application functionality

Module 13: Deploying Your Application

Identify risks associated with traditional software development practices
Understand DevOps methodology
Configure an AWS SAM template to deploy a serverless application
Describe various application deployment strategies
Demonstrate deploying a serverless application using AWS SAM

Module 14: Observing Your Application

Differentiate between monitoring and observability
Evaluate why observability is necessary in modern development and key components
Understand CloudWatch’s part in configuring the observability
Demonstrate using CloudWatch Application Insights to monitor applications
Demonstrate using X-Ray to debug your applications

Lab 7: Observe the Application Using AWS X-Ray

Instrument your application code to use AWS X-Ray capabilities
Enable your application deployment package to generate logs
Understand the key components of an AWS SAM template and deploy your application Create AWS X-Ray service maps to observe end-to-end processing behavior of your application
Analyze and debug application issues using AWS X-Ray traces and annotations

Module 15: Course Wrap-up

Course overview
AWS training courses
AWS training courses
Course feedback

View Course Fees

Certificate:

AWS Authorised Course Completion Certificate shall be issued to each participant.

Application:

Please comlpete your Application and pay the course fees online using the Apply Now button given below.

Please note that the application will be closed as soon as the seats are full.

In case of queries if any, you can write to us at: training@ifsacademy.org

Notes:

If the minimum number of participants is not reached, the event may be cancelled. In such case, either we will postpone the training or refund you the fees.