Developing on AWS (AWSD)

 

Course Overview

This course teaches experienced developers how to programmatically interact with AWS services to build web solutions. It guides you through a high-level architectural discussion on resource selection and dives deep into using the AWS Software Development Kits (AWS SDKs) and Command Line Interface (AWS CLI) to build and deploy your cloud applications. You will build a sample application during this course, learning how to set up permissions to the development environment, adding business logic to process data using AWS core services, configure user authentications, deploy to AWS cloud, and debug to resolve application issues. The course includes code examples to help you implement the design patterns and solutions discussed in the course. The labs reinforce key course content and help you to implement solutions using the AWS SDK for Python, .Net, and Java, the AWS CLI, and the AWS Management Console.

Who should attend

This course is intended for:

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

Certifications

This course is part of the following Certifications:

Prerequisites

We recommend that attendees of this course have:

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.

Follow On Courses

Outline: Developing on AWS (AWSD)

Day 1

Module 1: Course Overview
  • Logistics
  • Agenda
  • Introductions
  • Student resources
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
  • Describe request and response objects
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
  • Dreate 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

Prices & Delivery methods

Online Training

Duration
3 days

Price
  • Online Training: CAD 2,675
  • Online Training: US $ 2,025
Classroom Training

Duration
3 days

Price
  • Canada: CAD 2,675

Click on town name or "Online Training" to book Schedule

Guaranteed date:   We will carry out all guaranteed training regardless of the number of attendees, exempt from force majeure or other unexpected events, like e.g. accidents or illness of the trainer, which prevent the course from being conducted.
This is an Instructor-Led Classroom course
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.

United States

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Canada

Online Training 09:00 Eastern Standard Time (EST) Enroll
Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Eastern Daylight Time (EDT) Enroll
Online Training 09:00 Pacific Daylight Time (PDT) Enroll
Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Eastern Standard Time (EST) Enroll