Developing on AWS (AA-Developing-AWS)


Course Description

In this course, you learn how to use the AWS SDK to develop secure and scalable cloud applications using multiple AWS services such as Amazon DynamoDB, Amazon Simple Storage Service, and AWS Lambda. You explore how to interact with AWS using code and learn about key concepts, best practices, and troubleshooting tips.

Course Outline

Day 1

Module 0: Course Overview

  • Agenda
  • Introductions
  • Student resources

Module 1: Introduction to AWS

  • Introduction to the AWS Cloud
  • Cloud scenarios
  • Infrastructure overview
  • Introduction to AWS foundation services

Module 2: Introduction to Developing on AWS

  • Getting started with developing on AWS
  • Introduction to developer tools
  • Introduction to management tools

Module 3: Introduction to AWS Identity and Access Management

  • Shared responsibility model
  • Introduction to IAM
  • Use authentication and authorization

Module 4: Introduction to the Lab Environment

  • Introduction to the lab environment
  • Lab 1: Getting started and working with IAM

Module 5: Developing Storage Solutions with Amazon Simple Storage Service

  • Overview of AWS storage options
  • Amazon S3 key concepts
  • Best practices
  • Troubleshooting
  • Scenario: Building a complete application
  • Lab 2: Developing storage solutions with Amazon S3

Day 2

Module 6: Developing Flexible NoSQL Solutions with Amazon DynamoDB

  • Introduction to AWS database options
  • Introduction to Amazon DynamoDB
  • Developing with DynamoDB
  • Best practices
  • Troubleshooting
  • Scenario: Building an end-to-end app
  • Lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB

Module 7: Developing Event-Driven Solutions with AWS Lambda

  • What is serverless computing?
  • Introduction to AWS Lambda
  • Key concepts
  • How Lambda works
  • Use cases
  • Best practices
  • Scenario: Build an end-to-end app

Module 8: Developing Solutions with Amazon API Gateway

  • Introduction to Amazon API Gateway
  • Developing with API Gateway
  • Best practices
  • Introduction to AWS Serverless Application Model
  • Scenario: Building an end-to-end app
  • Lab 4: Developing event-driven solutions with AWS Lambda

Module 9: Developing Solutions with AWS Step Functions

  • Understanding the need for Step Functions
  • Introduction to AWS Step Functions
  • Use cases

Day 3

Module 10: Developing Solutions with Amazon Simple Queue Service and Amazon Simple Notification Service

  • Why use a queueing service?
  • Developing with Amazon Simple Queue Service
  • Developing with Amazon Simple Notification Service
  • Developing with Amazon MQ
  • Lab 5: Developing messaging solutions with Amazon SQS and Amazon SNS

Module 11: Caching Information with Amazon ElastiCache

  • Caching overview
  • Caching with Amazon ElastiCache
  • Caching strategies

Module 12: Developing Secure Applications

  • Securing your applications
  • Authenticating your applications to AWS
  • Authenticating your customers
  • Scenario: Building an end-to-end app

Module 13: Deploying Applications

  • Introduction to DevOps
  • Introduction to deployment and testing strategies
  • Deploying applications with AWS Elastic Beanstalk
  • Scenario: Building an end-to-end app
  • Lab 6: Building an end-to-end app

Module 14: Course wrap-up

  • Course overview
  • AWS training courses
  • Certifications
  • Course feedback

Course Objectives

  • Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript
  • Interact with AWS services and develop solutions by using the AWS SDK
  • Use AWS Identity and Access Management (IAM) for service authentication
  • Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
  • Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
  • Use Amazon Cognito for user authentication
  • Use Amazon ElastiCache to improve application scalability
  • Leverage the CI/CD pipeline to deploy applications on AWS

Course Prerequisites

We recommend that attendees of this course have:

  • In-depth knowledge of at least one high-level programming language
  • Working knowledge of core AWS services and public cloud implementation

Course Information

Length: 3 day

Format: Lecture and Lab

Delivery Method: n/a

Max. Capacity: 16



Schedule

Contact Us

UPCOMING COURSES
Date
Geography & Location
Days
Cost
CLC
GTR
Nov 18, 2024 - 3 day(s)
Nov 18, 2024
AMER
Remote-EST
AMER, Remote-EST
3
$2095 USD
$2095 USD
Dec 02, 2024 - 3 day(s)
Dec 02, 2024
AMER
Remote-EST
AMER, Remote-EST
3
$2095 USD
$2095 USD
Jan 13, 2025 - 3 day(s)
Jan 13, 2025
AMER
Remote-EST
AMER, Remote-EST
3
$2095 USD
$2095 USD
Jan 20, 2025 - 3 day(s)
Jan 20, 2025
AMER
Remote-EST
AMER, Remote-EST
3
$2095 USD
$2095 USD
Mar 03, 2025 - 3 day(s)
Mar 03, 2025
AMER
Remote-EST
AMER, Remote-EST
3
$2095 USD
$2095 USD
Apr 28, 2025 - 3 day(s)
Apr 28, 2025
AMER
Remote-EST
AMER, Remote-EST
3
$2095 USD
$2095 USD

Do you have more questions? We're delighted to assist you!

1-877-797-2799
info@firefly.cloud

Labs

  • You will spend approximately 50% of class time completing hands-on labs


Who Should Attend

Intermediate software developers