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:

10

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:

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.