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.

Duration: 3 days

Who is it for: This course is for software developers, solution architects and IT professionals who want to improve their developing skills using AWS services.

Layout: This course includes presentations, demonstrations, and hands-on labs

Objectives

• 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

Modules

Course Overview

• Logistics
• Student resources
• Agenda
• Introductions

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

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

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

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

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

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

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

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

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

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

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 Build

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

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

Course Wrap-up

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

Enquire about this course

More courses

course

Advanced Architecting on AWS

Through a series of use case scenarios and practical learning, you’ll explore AWS services that can be applied to solve architectural problems. You’ll find opportunities to combine your new knowledge with critical thinking and problem-solving skills. This course culminates in a final review project to reinforce what you’ve learned throughout the three days.

course

Advanced Developing on AWS

This three-day course covers advanced development topics such as architecting for a cloud-native environment and deconstructing on-premises legacy applications and repackaging them into cloud-based, cloud-native architectures. It also covers how to apply the tenets of the Twelve-Factor Application methodology.

course

Architecting On AWS

Through a series of use case scenarios and practical learning, you’ll learn to identify services and features to build resilient, secure, and highly available IT solutions in the AWS Cloud.

course

AWS Cloud Essentials for Business Leaders

This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing.

course

AWS Cloud Essentials for Business Leaders – Financial Services

This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. In this half-day, instructor-led course, you’ll explore the possibilities of cloud computing in banking, insurance, capital markets, payments, and financial technology. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.

course

AWS Cloud Practitioner Essentials

This course is for individuals who seek an overall understanding of the Amazon Web Services (AWS) Cloud, independent of specific technical roles.

course

AWS Technical Essentials

In this introductory course, you will learn about AWS products, services, and common solutions. You will learn the fundamentals of identifying AWS services so that you can make informed decisions about IT solutions based on your business requirements.

course

Building Data Analytics Solutions Using Amazon Redshift

The course dives deep into the Amazon Redshift service and the current thinking in building and operating data analytics pipelines to turn data into insights.

course

Building Data Lakes On AWS

Do you want to develop business insights from siloed data stores with the help of a data lake? Our new one-day classroom course, Building Data Lakes on AWS, will help you practice building and securing a data lake in a hands-on environment.

course

Cloud Operations on AWS

This course teaches system administrators, operators, and anyone performing day-to-day operations in the AWS Cloud how to install, configure, automate, monitor, secure, maintain, and troubleshoot the services, networks, and systems on AWS necessary to support business applications. The course also covers specific AWS features, tools, and best practices related to these functions.

course

DevOps Engineering on AWS

DevOps Engineering on AWS teaches you how to use the combination of DevOps cultural philosophies, practices, and tools to increase your organization’s ability to develop, deliver, and maintain applications and services at high velocity on AWS.

course

MLOps Engineering On AWS

MLOps Engineering on AWS will help you bring DevOps-style practices into the building, training, and deployment of ML models. ML data platform engineers, DevOps engineers, and developers/operations staff with responsibility for operationalizing ML models will learn to address the challenges associated with handoffs between data engineers, data scientists, software developers, and operations through the use of tools, automation, processes, and teamwork. By the end of the course, go from learning to doing by building an MLOps action plan for your organization.

course

Running Containers on Amazon Elastic Kubernetes Service (Amazon EKS)

Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. In this three-day course, you’ll learn container management and orchestration for Kubernetes using Amazon EKS.

course

Security Engineering on AWS

Security Engineering on AWS will enable you with the skills and knowledge to safeguard your organization’s reputation and profits, and improve security operations.